🏆 Mini Computer World Cup – Grup A Match 9 Raspberry Pi 4 vs BeagleBone Black

Raspberry Pi 4 vs BeagleBone Black

Theme: Industrial Applications Showdown

As we kick off Match 9 of the Mini Computer World Cup, the competition gets more focused—this time on industrial use cases. Two respected names in embedded development, the Raspberry Pi 4 and BeagleBone Black, are tested in the arena of reliability, real-time control, and long-term support for production environments.

Let’s compare how these boards handle the real-world demands of industry.

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🧩 Overview: Consumer Favorite vs Industrial Veteran

Raspberry Pi 4 is a widely-used single-board computer featuring a quad-core Broadcom BCM2711 processor, up to 8GB RAM, dual micro-HDMI outputs, USB 3.0, and Gigabit Ethernet. Its broad community and accessible tools make it ideal for rapid prototyping and DIY automation systems.

BeagleBone Black, designed with industrial deployment in mind, features a 1GHz ARM Cortex-A8 processor, 512MB RAM, on-board eMMC flash storage, and most importantly, two PRUs (Programmable Real-time Units) for time-sensitive hardware interfacing. It runs a stable Debian-based OS and is optimized for long-term deployment.

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⚙️ 1. Real-Time Performance

This is where BeagleBone Black shines. Thanks to its dual PRUs, it can execute precise timing control routines independently of the OS. Raspberry Pi, although powerful, cannot offer deterministic timing without external real-time units or OS patches.

Winner: BeagleBone Black

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⚙️ 2. Industrial Connectivity

BeagleBone Black includes CAN bus support, SPI, I2C, PWM, ADCs, and up to 69 GPIOs — many of which are used in industrial machinery. Raspberry Pi has fewer GPIOs and lacks native ADCs or CAN without expansion boards.

Winner: BeagleBone Black

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⚙️ 3. Software & Stability

Both run Linux, but BeagleBone's Debian-based image is stripped down and tuned for stability and real-time processes. Raspberry Pi’s OS is more user-friendly but more prone to interruptions and unsuitable for mission-critical controls without additional configuration.

Winner: BeagleBone Black

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⚙️ 4. Performance & Versatility

Raspberry Pi 4 is significantly more powerful in general computing: 4-core CPU, more RAM (up to 8GB), and a much larger ecosystem of compatible software and hardware. It’s better suited for GUI-based dashboards, web servers, AI applications, and non-critical automation.

Winner: Raspberry Pi 4

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⚙️ 5. Community & Development Tools

Raspberry Pi has the most active SBC community in the world. It offers tutorials, support forums, plug-and-play HATs, and third-party modules. BeagleBone has a smaller but dedicated industrial developer base.

Winner: Raspberry Pi 4

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⚙️ 6. Longevity & Production Deployment

BeagleBone Black has proven its value in factories, automotive systems, and industrial automation. It’s engineered for long-term reliability in dusty, hot, or unstable environments. Raspberry Pi is more general-purpose and less predictable under high-load or power-unstable scenarios.

Winner: BeagleBone Black

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🧠 Final Verdict

If your focus is on long-term industrial control, precise hardware timing, and rugged deployment, the BeagleBone Black is the clear winner. However, for rapid development, interface-rich projects, or non-critical automation, Raspberry Pi 4 offers unmatched versatility.

Today’s match goes to the industrial workhorse.

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🏁 Final Score: BeagleBone Black wins (3–2)

Man of the Match: BeagleBone’s PRU-enabled real-time I/O

Mini Computer World Cup – Grup A Match 8: Jetson Nano vs Orange Pi

🏆 Mini Computer World Cup – Match 8: Jetson Nano vs Orange Pi

The Mini Computer World Cup continues with one of the most exciting matchups yet: Jetson Nano takes on Orange Pi in Match 8! Both contenders are known for their compact form, affordability, and impressive performance—but only one can move forward.

🟩 Jetson Nano: The AI Powerhouse

NVIDIA's Jetson Nano is designed with machine learning and AI applications in mind. With a 128-core Maxwell GPU and a quad-core ARM Cortex-A57 CPU, it brings powerful computing to a small, budget-friendly board. Jetson Nano is widely used in robotics, computer vision, and edge AI projects.

Its secret weapon lies in its CUDA support and software ecosystem. Developers can leverage NVIDIA JetPack SDK to run deep learning frameworks such as TensorFlow, PyTorch, and OpenCV directly on the board. That kind of power gives Jetson Nano an elite-tier advantage in this tournament.

🟧 Orange Pi: The Versatile Challenger

On the other side, we have Orange Pi—a family of boards known for versatility and affordability. The Orange Pi Zero 2 in particular is a compact, quad-core mini PC running on the Allwinner H616 processor. While not as focused on AI tasks, Orange Pi shines in multimedia projects, home automation, and network-based systems.

Its compatibility with Android, Ubuntu, Debian, and other Linux distributions makes it a flexible platform for a variety of hobbyist and IoT projects. It may not beat Jetson Nano in raw GPU performance, but Orange Pi counters with efficient performance per dollar and ease of integration.

⚙️ Technical Comparison

Feature Jetson Nano Orange Pi Zero 2

CPU Quad-core ARM Cortex-A57 Quad-core Cortex-A53

GPU 128-core Maxwell GPU Mali G31 MP2

RAM 4 GB LPDDR4 1 GB or 2 GB DDR3

OS Support Linux with JetPack (Ubuntu) Android, Ubuntu, Debian

Target Use AI, Robotics, CV IoT, Media Center, Servers

⚔️ The Match

As the match kicks off in the digital arena, Jetson Nano immediately takes the lead with its GPU power. It processes object detection tasks at lightning speed while maintaining thermal stability. Meanwhile, Orange Pi plays smart—streamlining processes, booting fast, and holding its own with minimal power consumption.

Halfway through, Orange Pi gains ground by quickly deploying lightweight web applications and streaming smoothly over LAN. But Jetson Nano's AI demonstration steals the show—a facial recognition routine that dazzles the crowd and earns high tech-points.

Despite Orange Pi's agility and cost-efficiency, Jetson Nano’s specialized performance in AI gives it the winning edge.

🏁 Final Score: Jetson Nano 2 – 1 Orange Pi

Jetson Nano advances to the next round! Orange Pi put up a solid fight and showed that low-cost computing still holds great value in real-world applications.

Stay tuned for Match 9: Raspberry Pi 4 vs BeagleBone Black, and don’t forget to check out the full match schedule here!

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🏆 Mini Computer World Cup –Grup B Match 18: Banana Pi vs Odroid XU4

🏆 Mini Computer World Cup –  Grup B Match 18: Banana Pi vs Odroid XU4

Final Score: Odroid XU4 – 3 | Banana Pi – 0

Match 18 of the Mini Computer World Cup featured two ARM-based boards aiming for different strengths: Banana Pi, focused on affordability and energy efficiency, and Odroid XU4, known for its raw performance and high-speed I/O. While Banana Pi put up a solid effort, Odroid XU4 completely dominated the match.

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⚙️ Pre-Match Overview

Odroid XU4 comes powered by the Samsung Exynos5422 octa-core processor (big.LITTLE architecture), 2 GB LPDDR3 RAM, USB 3.0, and Gigabit Ethernet. It’s built for retro gaming, Linux servers, and high-bandwidth applications.

Banana Pi, depending on model, typically includes an Allwinner A20/A64 or MediaTek chip, 1–2 GB of RAM, and SATA support for lightweight NAS and IoT applications. Its low power consumption makes it a favorite for budget-conscious makers.

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🕹️ Match Highlights

From the first whistle, Odroid XU4 took control in CPU benchmarks. Its octa-core processor handled multithreaded workloads — such as compiling large codebases and running Docker containers — nearly five times faster than Banana Pi.

In network and I/O performance, Odroid XU4’s USB 3.0 and Gigabit Ethernet delivered blazing-fast file transfers, while Banana Pi’s SATA interface, though useful for storage-focused tasks, simply couldn’t match the speed or versatility.

The gaming test further widened the gap. Odroid XU4 smoothly emulated PlayStation Portable and Dreamcast titles, while Banana Pi struggled to handle even lighter retro consoles consistently.

Banana Pi’s energy efficiency was its lone bright spot. Consuming around 35% less power, it held an advantage for always-on IoT applications and low-heat environments. However, this strength wasn’t enough to score a goal in performance-driven categories.

Thermals also favored Odroid XU4. With active cooling, it maintained stable performance under extended loads, whereas Banana Pi experienced minor thermal throttling when pushed to its limits.

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🔍 Performance Summary:

CPU Power: Odroid XU4 crushed Banana Pi in processing tests.

Networking & I/O: Odroid’s USB 3.0 and Gigabit Ethernet were unmatched.

Gaming & Graphics: Odroid dominated retro gaming emulation.

Power Efficiency: Banana Pi consumed significantly less energy but sacrificed speed.

Thermals: Odroid stayed consistent under stress, Banana Pi throttled slightly.

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🏁 Final Verdict

Odroid XU4 wins 3-0, cementing itself as one of the top ARM-based boards in Group B. While Banana Pi remains a cost-effective choice for lightweight servers and low-power projects, it couldn’t compete with Odroid’s high-performance architecture and versatility.

This victory keeps Odroid XU4 in strong contention for a quarter-final spot, while Banana Pi’s chances in the tournament diminish significantly.

🏆 Mini Computer World Cup –Grup B Match 17: Intel NUC vs LattePanda

🏆 Mini Computer World Cup – Grup B Match 17: Intel NUC vs LattePanda

Final Score: Intel NUC – 3 | LattePanda – 1

Match 17 of the Mini Computer World Cup brought two x86-based mini computers head-to-head: Intel NUC, a powerhouse in desktop-class computing, and LattePanda, the hybrid board beloved by makers for its integrated Arduino co-processor. This was not just a battle of raw power but also of versatility and innovation.

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⚙️ Pre-Match Overview

Intel NUC (Next Unit of Computing) is built around Intel’s Core i3, i5, and i7 CPUs, offering up to 32 GB RAM, NVMe SSD storage, and Iris Xe graphics. It’s designed as a desktop replacement capable of heavy multitasking, virtualization, and 4K media playback.

LattePanda features an Intel Atom or Core m3 processor, 4–8 GB RAM, and the unique addition of an Arduino Leonardo co-processor, enabling makers to combine PC-level applications with hardware-level control in a single device.

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🕹️ Match Highlights

The match started with LattePanda striking first in the maker flexibility category. Its built-in Arduino chip allowed seamless control of sensors and actuators while running full desktop applications — a feature the NUC lacks natively.

However, Intel NUC quickly countered with overwhelming performance in processing power. In synthetic benchmarks, the NUC’s Core i5 processor was nearly three times faster than LattePanda’s Atom CPU, scoring heavily in multitasking and rendering tasks.

In the media showdown, Intel NUC’s Iris Xe GPU delivered flawless 4K video playback and even handled light gaming. LattePanda, though capable of running Windows smoothly, struggled with higher-resolution content and frame-intensive workloads.

Thermal performance favored the NUC as well. While LattePanda began to throttle under extended loads, the NUC maintained consistent clock speeds thanks to better cooling solutions.

Despite LattePanda’s valiant effort in power efficiency and hardware integration, Intel NUC sealed its victory with dominance in storage and I/O. NVMe SSD support and Thunderbolt 3 allowed lightning-fast data transfers, outpacing LattePanda’s SATA and USB 3.0 interfaces.

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🔍 Performance Summary:

Processing Power: Intel NUC outperformed LattePanda by a large margin.

Graphics & Media: NUC excelled in 4K playback and GPU tasks.

Maker Features: LattePanda’s Arduino co-processor gave it unique flexibility.

Thermals & Stability: NUC sustained performance under heavy workloads.

Expandability: NVMe and Thunderbolt made NUC far more future-proof.

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🏁 Final Verdict

Intel NUC wins 3-1, showcasing why it’s considered a leader in compact desktop computing. While LattePanda remains unmatched for hybrid maker applications, it simply couldn’t compete with the NUC’s sheer power and expandability.

This victory solidifies Intel NUC’s position as Group B’s top contender, all but guaranteeing its advancement to the knockout stage.

🏆 Mini Computer World Cup – Grup A Match 7 Arduino Mega 2560 vs BeagleBone Black

Arduino Mega 2560 vs BeagleBone Black

As we approach the halfway mark in the group stage, today’s Mini Computer World Cup matchup features a battle of embedded system champions: the trusted Arduino Mega 2560 and the versatile BeagleBone Black. While both are beloved by engineers and makers for hardware-level control, they cater to different scales and levels of complexity.

Let’s explore how these microcontroller-focused boards perform across critical categories.

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🔍 Overview: Two Embedded Giants

Arduino Mega 2560 is an 8-bit microcontroller board based on the ATmega2560. It offers 54 digital I/O pins, 16 analog inputs, and 4 hardware serial ports (UARTs), making it ideal for robotics, sensor-based automation, and projects requiring lots of pin access. Its strength lies in real-time execution and reliability.

BeagleBone Black, however, is a more advanced single-board computer. It runs Debian Linux, is powered by a 1GHz ARM Cortex-A8 processor, and has 512MB RAM. It also includes over 65 GPIO pins and features two PRUs (Programmable Real-time Units), which provide deterministic timing — a massive edge in precise control systems.

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⚙️ 1. Processing & Speed

BeagleBone Black crushes Arduino in terms of processing. Arduino runs at just 16MHz with an 8-bit architecture, while BeagleBone operates at 1GHz with full Linux OS support. Complex programs, multitasking, and networking are all possible on BeagleBone but impossible on Arduino.

Winner: BeagleBone Black

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⚙️ 2. Real-Time Performance

This is where the match gets interesting. Arduino is beloved for near-instantaneous response, thanks to its bare-metal programming and lack of OS overhead. However, BeagleBone Black’s PRU cores offer a hybrid solution — real-time behavior within a Linux system.

Winner: Slight edge to BeagleBone Black for offering both real-time control and multitasking.

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⚙️ 3. GPIO & Hardware Control

Both boards have excellent GPIO capabilities. Arduino Mega has 70+ accessible pins, with easy-to-use pin mappings and clear labeling. BeagleBone also has 65+ GPIOs, but more advanced features like PWM, I2C, CAN, and SPI are included and configurable via Linux.

Winner: Draw – Arduino is more user-friendly, but BeagleBone is more powerful.

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⚙️ 4. Software & Development

Arduino uses the Arduino IDE and a simple C/C++-based sketching system, which is ideal for beginners. BeagleBone runs Linux and supports Python, C, and shell scripting. It requires more setup and knowledge but provides a broader development environment.

Winner: Depends on user skill – but for flexibility: BeagleBone Black

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⚙️ 5. Power & Cost

Arduino Mega is highly power-efficient ($25), great for battery projects. BeagleBone draws more power ($55), but provides greater capability for the price.

Winner: Arduino Mega 2560 for power efficiency and cost

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🧠 Final Verdict

Although both boards serve the embedded world well, BeagleBone Black takes the win today with superior processing, real-time hybrid capability, and advanced interfacing. Still, Arduino Mega remains the gold standard for simple, dependable hardware control.

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🏁 Final Score: BeagleBone Black wins (3–2)

Man of the Match: PRU real-time cores in BeagleBone

🏆 Mini Computer World Cup – Grup B Match 16: Tinker Board vs Banana Pi

🏆 Mini Computer World Cup – Match 16: Tinker Board vs Banana Pi

Final Score: Tinker Board – 2 | Banana Pi – 1

Match 16 of the Mini Computer World Cup delivered a tightly contested game between two ARM-based boards: ASUS Tinker Board and Banana Pi. Both are designed for hobbyists and makers, but their strengths lie in different areas, making this matchup a test of efficiency versus multimedia power.

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⚙️ Pre-Match Overview

Tinker Board features a Rockchip RK3288 quad-core processor clocked at 1.8 GHz, 2 GB of RAM, and a Mali-T764 GPU. It excels at 4K video playback, smooth audio output, and a well-designed 40-pin GPIO layout, giving it strong appeal for multimedia and IoT projects alike.

Banana Pi, depending on the model (A20/A64 series), typically provides a dual- or quad-core ARM CPU, 1–2 GB of RAM, and SATA support, making it an excellent choice for file servers and network storage applications. It’s known for energy efficiency and compatibility with multiple Linux and Android builds.

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🕹️ Match Highlights

The match opened with Banana Pi striking first in network storage performance. Its native SATA interface allowed faster data transfers during server tasks, earning it an early “goal” in storage benchmarks.

However, Tinker Board responded immediately with multimedia dominance. Its Mali GPU delivered flawless 1080p video and handled OpenGL demos with impressive frame rates, scoring twice in rapid succession: once in graphics performance and once in audio clarity.

In general computing benchmarks, the boards were closer. Banana Pi consumed 30% less power under load, while Tinker Board maintained higher clock speeds without throttling. Banana Pi attempted to equalize through GPIO tests, where its simpler Linux-based control shined slightly, but Tinker Board’s GPIO latency was competitive enough to hold its lead.

Thermal performance gave Tinker Board another advantage; despite higher power draw, its heatsink design kept the system stable under stress, whereas Banana Pi experienced minor slowdowns in extended workloads.

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🔍 Performance Summary:

Storage: Banana Pi’s SATA interface outperformed Tinker Board’s USB 2.0 for NAS use cases.

Multimedia: Tinker Board dominated video playback and GPU-based rendering.

Power Efficiency: Banana Pi led with lower energy consumption.

Thermals: Tinker Board held consistent performance under sustained loads.

GPIO: Slightly faster control on Banana Pi, but Tinker Board was competitive.

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🏁 Final Verdict

Tinker Board wins 2-1, showcasing its superiority in multimedia tasks and thermal consistency while maintaining solid maker-friendly performance. Banana Pi impressed with power efficiency and network storage capabilities, but lacked the graphical and processing punch needed to secure the match.

This result gives Tinker Board an essential boost in Group B, while Banana Pi struggles to stay relevant in the tournament standings.

🏆 Mini Computer World Cup –Grup A Match 6 Raspberry Pi 4 vs Jetson Nano

Raspberry Pi 4 vs Jetson Nano

Today’s Mini Computer World Cup brings us a heavyweight clash between two of the most powerful and popular single-board computers on the market: the Raspberry Pi 4 and Jetson Nano. This matchup is all about computing muscle, development flexibility, and real-world AI readiness.

Let’s dive into the battle of general-purpose computing vs AI acceleration.

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🧩 Overview: Power vs Precision

Raspberry Pi 4 is the go-to board for a huge range of projects, from home servers to robotics, coding education, and even retro gaming consoles. With a quad-core Broadcom BCM2711 processor, up to 8GB RAM, USB 3.0, dual HDMI, and solid OS support (like Raspberry Pi OS, Ubuntu), it’s a flexible workhorse.

Jetson Nano, developed by NVIDIA, is engineered specifically for edge AI and deep learning tasks. With a 128-core Maxwell GPU, quad-core Cortex-A57 CPU, and 4GB LPDDR4 RAM, it's perfect for real-time object detection, computer vision, and neural networks.

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⚙️ 1. CPU & GPU Performance

Jetson Nano is optimized for AI performance thanks to its integrated GPU, allowing it to handle deep learning models in real time. Raspberry Pi 4 has a more balanced CPU, suitable for general-purpose computing, scripting, web hosting, and GPIO-based projects. However, for AI and ML, Jetson clearly leads.

Winner: Jetson Nano

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⚙️ 2. OS and Software Ecosystem

Raspberry Pi 4 benefits from a mature and beginner-friendly OS (Raspberry Pi OS) with large-scale community support and plug-and-play reliability. Jetson Nano uses Ubuntu-based JetPack SDK, which includes CUDA, cuDNN, TensorRT, and support for frameworks like TensorFlow and PyTorch. While Jetson’s software stack is powerful, it’s more complex and less intuitive for beginners.

Winner: Raspberry Pi 4

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⚙️ 3. GPIO & Expandability

Both boards offer GPIO pins, but Raspberry Pi 4 has more documentation, accessories, and HATs available. Jetson Nano also supports GPIO and I2C, but fewer peripherals are officially supported. For hardware tinkering, Raspberry Pi remains unmatched.

Winner: Raspberry Pi 4

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⚙️ 4. AI & Machine Learning Capability

This is Jetson Nano’s home turf. From autonomous drones to image recognition, its 128-core GPU brings AI to the edge, far beyond what Raspberry Pi 4 can do natively without external accelerators.

Winner: Jetson Nano

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⚙️ 5. Community Support

Raspberry Pi has one of the world’s largest SBC communities, with countless forums, tutorials, and support networks. Jetson Nano’s AI-focused community is growing but still smaller and more niche.

Winner: Raspberry Pi 4

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⚙️ 6. Price-to-Performance Ratio

Jetson Nano costs ~$100+, while Raspberry Pi 4 starts at ~$35 for the 2GB model. For general tasks, Pi gives you more bang for your buck. But if your project specifically needs AI inference, Jetson is worth the extra investment.

Draw: Depends on use-case

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🧠 Final Verdict

This battle ends with a 3–2 victory for Raspberry Pi 4, thanks to its flexibility, community, and affordability. While Jetson Nano dominates AI performance, Raspberry Pi 4 takes the overall win with its well-rounded capabilities and wider accessibility.

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🏁 Final Score: Raspberry Pi 4 wins (3–2)

Man of the Match: Raspberry Pi’s community and ecosystem

🏆 Mini Computer World Cup – Grup B Match 15: LattePanda vs Odroid XU4

🏆 Mini Computer World Cup – Grup B Match 15: LattePanda vs Odroid XU4

Final Score: LattePanda – 3 | Odroid XU4 – 2

In one of the most intense and balanced matchups of the tournament so far, LattePanda and Odroid XU4 clashed in Match 15 of the Mini Computer World Cup. Both devices brought high performance and innovative features to the pitch, but in the end, LattePanda emerged victorious with a narrow 3-2 win.

🧠 Meet the Contenders

LattePanda is a powerful single-board computer that stands out due to its Intel x86-based processor and native support for Windows 10. With models featuring Intel Atom or Core m3 processors, 4–8 GB RAM, and built-in Arduino co-processor, it bridges the gap between traditional PCs and maker boards.

Odroid XU4, on the other hand, is an ARM-based SBC powered by the Samsung Exynos5422 octa-core processor. It features 2GB LPDDR3 RAM, eMMC/microSD storage, USB 3.0, and Gigabit Ethernet. Known for its blazing fast performance among ARM boards, it is often used for game emulation, lightweight servers, and Linux-based projects.

⚔️ Match Highlights

The game began with Odroid XU4 taking an early lead in raw CPU benchmarking. Its octa-core architecture allowed it to handle multi-threaded Linux operations and server loads impressively.

However, LattePanda struck back with superior Windows compatibility and desktop application support. LattePanda ran Visual Studio, Unity, and even Photoshop without a hitch, something Odroid XU4 couldn’t replicate.

In the hardware integration round, LattePanda’s built-in Arduino Leonardo chip gave it a huge advantage, allowing users to run PC-level software while interacting with sensors and actuators via Arduino. Odroid XU4 lacked native GPIO simplicity and required external microcontrollers to do similar tasks.

The network performance and I/O speed category saw Odroid XU4 regain some ground. Thanks to its USB 3.0 ports and Gigabit Ethernet, file transfers and headless server setups were faster and more stable.

Still, LattePanda’s versatility across platforms, combined with its stronger software ecosystem, allowed it to secure a third goal in the final segment of the match — the real-world multitasking test. LattePanda ran multiple applications and development environments simultaneously, which Odroid struggled to match due to RAM limitations.

🔍 Performance Summary:

CPU Power: Odroid had more cores, but LattePanda had better architecture for general computing.

OS Flexibility: LattePanda ran full Windows and Linux; Odroid was ARM-Linux only.

Maker Tools: LattePanda’s Arduino chip integrated seamlessly.

Networking: Odroid had a slight edge with Gigabit Ethernet and USB 3.0.

🏁 Final Verdict

The match was close, but LattePanda won 3-2, proving that hybrid computing power and platform versatility can outperform raw speed alone. Odroid XU4 played a strong game but couldn’t compete with LattePanda’s broader ecosystem and desktop-class software compatibility.

LattePanda’s victory strengthens its position in Group B, while Odroid XU4 now faces pressure in its final group matches.

🏆 Mini Computer World Cup – Grup A Match 5BeagleBone Black vs Orange Pi Zero 2

BeagleBone Black vs Orange Pi Zero 2

Today’s Mini Computer World Cup matchup features two compact yet capable single-board computers (SBCs): the reliable BeagleBone Black and the affordable Orange Pi Zero 2. While they share similarities in size and cost, their core philosophies and strengths are significantly different.

Let’s dig deep into their specifications and evaluate which board moves ahead in the tournament.

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🔍 Quick Overview

BeagleBone Black is a long-standing favorite in industrial and embedded applications. It features a 1GHz AM335x ARM Cortex-A8 processor, 512MB DDR3 RAM, onboard eMMC storage, and over 65 GPIO pins. It runs Debian Linux and is praised for its real-time capabilities through the inclusion of two PRU (Programmable Real-time Units).

Orange Pi Zero 2, on the other hand, is a much newer competitor. It is powered by an Allwinner H616 quad-core Cortex-A53 processor, and includes 512MB or 1GB RAM, WiFi, Ethernet, and USB ports. It supports Linux-based OSs like Armbian but has faced criticism for inconsistent software support and limited documentation.

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⚙️ Category-by-Category Analysis

1. Processing Power

Orange Pi Zero 2 comes out swinging with its quad-core Cortex-A53 CPU, outperforming BeagleBone’s single-core Cortex-A8 processor. This gives it better multitasking and web server capabilities, especially for lightweight applications.

2. GPIO & I/O Capabilities

BeagleBone Black dominates this field. With over 65 GPIO pins, analog inputs, PWM outputs, and the PRU subsystem, it is tailor-made for hardware-level control. Orange Pi Zero 2 lacks analog inputs and has fewer accessible GPIOs.

3. Software Stability

BeagleBone Black runs a robust and stable Debian-based Linux OS with long-term community support. Orange Pi Zero 2 uses Armbian or other community images, which can sometimes suffer from poor driver support or instability.

4. Community & Documentation

BeagleBone has been on the market for years and has developed a dedicated user base, strong forums, and detailed technical documentation. Orange Pi’s community is growing but still small in comparison and often relies on community hacks for fixes.

5. Connectivity

Orange Pi Zero 2 includes built-in WiFi and Ethernet, making it ideal for IoT setups. BeagleBone Black offers Ethernet but lacks onboard WiFi. In terms of multimedia, Orange Pi Zero 2 supports HDMI output, while BeagleBone focuses more on industrial interfacing than video output.

6. Price

Orange Pi Zero 2 is very affordable—usually under $20—while BeagleBone Black typically retails for around $55. This pricing gap is significant for hobbyists and bulk purchases.

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🧠 Final Verdict

This matchup is a battle between industrial reliability and budget versatility. If your goal is precise hardware control, time-sensitive automation, or working with analog components, the BeagleBone Black is your board. However, for cost-effective IoT projects or web-based applications where performance per dollar matters, Orange Pi Zero 2 offers excellent value.

It’s a close race, but BeagleBone Black claims today’s win thanks to its real-time edge and stable development environment.

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🏁 Final Score: BeagleBone Black wins (3–2)

Man of the Match: BeagleBone’s PRU and GPIO system

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🏆 Mini Computer World Cup – Grup B Match 14: Intel NUC vs Banana Pi

🏆 Mini Computer World Cup – Match 14: Intel NUC vs Banana Pi

Final Score: Intel NUC – 4 | Banana Pi – 0

Match 14 of the Mini Computer World Cup was a clear display of high-end power versus budget flexibility as the Intel NUC faced off against the Banana Pi. While both are compact computing solutions, their performance classes are worlds apart — and today’s match made that crystal clear.

⚙️ Head-to-Head Hardware Breakdown

The Intel NUC (Next Unit of Computing) is a mini PC designed by Intel that packs desktop-grade power in a palm-sized form. With configurations including Core i3 to i7 processors, SSD storage, Wi-Fi, Bluetooth, and full Windows/Linux support, it’s a beast in productivity and media.

In contrast, the Banana Pi, while a commendable low-cost alternative to Raspberry Pi, features an Allwinner A20/A64 or MediaTek processor (depending on the model), 1GB–2GB of RAM, and basic I/O. It’s favored in educational projects and light networking.

⚔️ Match Highlights

From the opening whistle, the Intel NUC dominated across every performance metric. The boot time test showed NUC launching a full Ubuntu desktop in under 15 seconds, while Banana Pi struggled with longer load times due to limited RAM and slower eMMC/microSD interfaces.

In the multimedia performance round, Intel NUC effortlessly handled 4K YouTube playback, Netflix streaming, and even ran Adobe Lightroom under Windows. Meanwhile, Banana Pi struggled with basic 720p video, experiencing stuttering and frame drops.

Moving to software compatibility, Intel NUC scored big again. Thanks to its x86 architecture, it supported full versions of Linux distributions and Windows 10/11 with driver support for Wi-Fi, Bluetooth, and GPU acceleration. Banana Pi’s ARM-based system was limited to ARM-compiled Linux distros and couldn’t run proprietary PC software.

Even in GPIO and embedded applications, where Banana Pi had some strengths, it couldn’t close the gap. Intel NUC was able to use USB-based microcontroller bridges (like Arduino over USB or FTDI) to handle hardware I/O while simultaneously running VS Code and simulators in the background.

Finally, the stress test sealed the match. Intel NUC completed a batch video encoding task 7× faster than Banana Pi, without throttling, thanks to superior thermals and CPU cache.

🔍 Performance Summary:

Processing Power: NUC’s Intel Core CPU outmatched Banana Pi’s ARM chip entirely.

Multimedia: Smooth 4K vs struggling 720p – clear win for NUC.

Software Ecosystem: Windows + full Linux support vs ARM-only builds.

Expandability: USB-C, Thunderbolt, NVMe SSDs on NUC vs limited GPIO on Banana Pi.

🏁 Final Verdict

Intel NUC wins with a stunning 4-0 score, showcasing just how much performance can fit in a small form factor. While Banana Pi is useful in entry-level projects, it was completely overwhelmed by NUC’s desktop-grade performance and expandability.

This result propels Intel NUC to the top of Group B, strengthening its claim as a tournament favorite. Banana Pi, with no goals and a major defeat, must now win its next match to stay in contention.

🏆 Mini Computer World Cup – Grup A Match 4Arduino Mega 2560 vs Jetson Nano

Today's Mini Computer World Cup matchup presents a true technological contrast. In one corner, we have the Arduino Mega 2560, a beloved microcontroller known for its simplicity and control precision. In the other, we face the Jetson Nano, a modern single-board computer from NVIDIA, built for AI, deep learning, and advanced graphics processing. These two serve very different goals — but today, they’re on the same field.

Let’s compare how each board performs across key technical categories.

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🔎 Board Summaries

The Arduino Mega 2560 is built around the ATmega2560 microcontroller. It features 54 digital I/O pins, 16 analog inputs, and 4 UARTs, making it perfect for hardware-level control. It runs no operating system and uses a lightweight IDE and C/C++-based sketches to operate.

The Jetson Nano, by contrast, is a Linux-powered SBC (Single Board Computer) with a quad-core ARM Cortex-A57 CPU, 128-core NVIDIA Maxwell GPU, and 4GB LPDDR4 RAM. It’s designed for computer vision, robotics, and AI development at the edge.

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⚙️ Head-to-Head Categories

1. Processing Power

Jetson Nano is leaps ahead in raw processing. Arduino Mega operates at 16MHz with 8-bit architecture, while Jetson clocks over 1.4GHz and handles multitasking and graphical workloads with ease. In terms of computational muscle, Jetson wins outright.

2. Real-Time Control

Here, Arduino Mega shines. It's incredibly reliable for tasks like controlling motors, reading sensor inputs, and running low-level real-time operations with almost zero latency. Jetson, while powerful, relies on a full OS and lacks true real-time capabilities out-of-the-box.

3. Power Consumption

The Arduino Mega is extremely energy-efficient (~0.5W max), ideal for battery-operated or off-grid devices. Jetson Nano typically draws 5–10W depending on usage, which can be a limitation in remote or portable environments.

4. Connectivity & I/O

Arduino provides a huge number of GPIO pins, PWM outputs, and analog inputs. Jetson also supports GPIO, I2C, and camera interfaces, but with fewer accessible pins and more software setup required. Jetson has USB 3.0 and HDMI, which Arduino lacks entirely.

5. Software & Ecosystem

Jetson supports Ubuntu-based JetPack SDK with tools like TensorFlow, OpenCV, and PyTorch. Arduino’s development environment is far simpler, and while limited, is ideal for beginners and embedded engineers.

6. Price & Accessibility

Arduino Mega typically costs around $25, while Jetson Nano ranges from $80 to $120. Arduino is clearly more budget-friendly and widely available.

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🧠 Final Verdict

This matchup is about specialization. If your project involves real-time control, low energy usage, or robotics with basic logic, Arduino Mega 2560 is a rock-solid choice. However, if you need AI, machine vision, or high-level Linux programming, Jetson Nano is the undisputed winner.

Jetson Nano secures a hard-fought victory thanks to its superior computational power and modern development stack, but Arduino Mega impresses with reliability and simplicity.

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🏁 Final Score: Jetson Nano wins (3–2)

Man of the Match: Jetson’s GPU and JetPack AI ecosystem

🏆 Mini Computer World Cup – Grup B Match 13: Odroid XU4 vs Tinker Board

🏆 Mini Computer World Cup – Match 13: Odroid XU4 vs Tinker Board

Final Score: Odroid XU4 – 3 | Tinker Board – 1

The thirteenth match of the Mini Computer World Cup saw a heated showdown between two performance-focused SBCs: Odroid XU4 and ASUS Tinker Board. With both boards boasting impressive hardware specs and a strong community following, expectations were high — but only one could dominate the pitch.

⚙️ Pre-Match Tech Profiles

Odroid XU4, developed by Hardkernel, is a powerhouse built on the Samsung Exynos5422 octa-core processor. With 2GB of LPDDR3 RAM, eMMC support, USB 3.0 ports, and Gigabit Ethernet, it’s known for high-speed processing and excellent thermals, especially in server tasks and retro gaming emulation.

Tinker Board, created by ASUS, runs on a quad-core Rockchip RK3288 CPU with 2GB RAM and powerful graphics (Mali-T764). It offers strong media playback capabilities, 4K support, and an aesthetic hardware design including a well-placed 40-pin GPIO layout and HD audio.

⚔️ Match Analysis

The match kicked off with Tinker Board showing strength in multimedia capabilities. Its GPU allowed it to handle 1080p video streaming smoothly, and it scored early in the media and audio performance segment. YouTube playback and audio output were both clean and synchronized.

However, Odroid XU4 quickly responded in the processing power and multitasking phase. Its octa-core CPU and eMMC storage crushed synthetic benchmarks, particularly in server-side tasks, Docker container deployment, and simultaneous app execution. It dominated file transfer speed tests via USB 3.0 and Ethernet.

Thermal management played a big role in this match. While Tinker Board had moderate passive cooling, the Odroid XU4’s active cooling fan kept its performance consistent throughout CPU stress tests, allowing it to maintain a lead in compute-heavy operations.

In the final minutes, Odroid took full control in the retro gaming test, outperforming Tinker Board in emulating PlayStation and PSP titles. It loaded games faster, rendered frames at smoother rates, and had better input latency, pushing its lead to 3 goals.

🔍 Performance Summary:

CPU Strength: Odroid XU4’s octa-core vs Tinker Board’s quad-core – clear winner: Odroid.

Media Playback: Tinker Board had the edge in 4K and HDMI audio.

Networking & I/O: Odroid XU4 took the lead with faster USB and Ethernet performance.

Thermals: Active cooling gave Odroid long-term advantage.

Gaming: Odroid XU4 delivered smoother emulation results.

🏁 Final Verdict

Odroid XU4 wins 3-1, proving itself the better-rounded device in terms of raw power, thermals, and multitasking. While Tinker Board’s video playback and GPIO layout earn it points in specific scenarios, it couldn’t match the muscle and stability of the Odroid under competitive stress.

As a result, Odroid XU4 moves up the Group B rankings with this crucial win, while Tinker Board will have to bounce back in its next match to stay in quarter-final contention.

🏆 Mini Computer World Cup – Grup A Match 3Raspberry Pi 4 vs Orange Pi Zero 2

Raspberry Pi 4 vs Orange Pi Zero 2

The Mini Computer World Cup continues with a battle between two compact giants of the maker world: the popular Raspberry Pi 4 and the budget-friendly challenger Orange Pi Zero 2. While both boards look similar on the surface, they serve very different goals when it comes to computing power, support, and reliability.

Let’s explore how these two boards stack up in real-world usage.

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📦 Overview of the Boards

Raspberry Pi 4 Model B is the flagship single-board computer from the Raspberry Pi Foundation. It features a quad-core Broadcom BCM2711 processor running at 1.5GHz, up to 8GB of RAM, dual HDMI outputs, USB 3.0, and full Gigabit Ethernet. With wide OS support (like Raspberry Pi OS, Ubuntu, etc.), it is an ideal board for learning, development, or even full Linux-based desktop setups.

Orange Pi Zero 2, developed by Shenzhen Xunlong, is a more affordable alternative. It’s based on an Allwinner H616 SoC, with a quad-core Cortex-A53 CPU and 512MB to 1GB RAM. It has WiFi, Ethernet, and runs lightweight Linux distributions such as Armbian. It’s smaller and cheaper, but less supported and sometimes less stable.

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⚙️ Category-by-Category Breakdown

1. CPU and Performance

Both boards use quad-core ARM Cortex-A53 CPUs, but Raspberry Pi 4’s clock speed and RAM capacity provide noticeably smoother performance. It also handles multitasking better thanks to its refined firmware and memory management.

2. RAM and Multitasking

Raspberry Pi 4 is available in 2GB, 4GB, and 8GB variants, giving it a serious advantage for multitasking, media processing, and development. Orange Pi Zero 2 typically maxes out at 1GB RAM, limiting its capacity for heavier tasks.

3. Community and Documentation

This is where Raspberry Pi 4 completely dominates. With an enormous global community, official forums, tutorials, and educational resources, the support for Raspberry Pi is unmatched. Orange Pi’s documentation is sparse, and its user community is smaller and less active.

4. OS and Stability

Raspberry Pi’s official OS (Raspberry Pi OS) is stable, beginner-friendly, and well-integrated with hardware. Orange Pi Zero 2 runs Armbian and other community-developed images, but often suffers from kernel issues and patchy updates.

5. Connectivity and Ports

Orange Pi Zero 2 has onboard WiFi and Ethernet but lacks advanced ports like USB 3.0 or HDMI by default (requires adapter). Raspberry Pi 4 includes USB 3.0, dual HDMI, and more GPIO pins, making it suitable for a broader range of applications.

6. Price

Orange Pi Zero 2 is significantly cheaper, often retailing around $20, while the Raspberry Pi 4 starts at $35 and goes higher with more RAM. For simple tasks like IoT sensors or basic network devices, Orange Pi offers solid value.

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🧠 Final Verdict

If you're a beginner, developer, or looking for long-term support and flexibility, the Raspberry Pi 4 is the better choice. It’s faster, more stable, and far more expandable. However, for budget-sensitive projects where minimal specs are acceptable, Orange Pi Zero 2 provides a great starting point.

Today’s winner is clear: Raspberry Pi 4 scores its second win of the tournament.

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🏁 Final Score: Raspberry Pi 4 wins (4–1)

Man of the Match: Raspberry Pi’s RAM advantage

🏆 Mini Computer World Cup – Grup B ,Match 12: LattePanda vs Banana Pi

🏆 Mini Computer World Cup – Match 12: LattePanda vs Banana Pi

Final Score: LattePanda – 2 | Banana Pi – 2 (Draw)

Match 12 of the Mini Computer World Cup delivered an intense head-to-head battle between two versatile single-board computers: LattePanda, known for its hybrid architecture, and the ever-reliable Banana Pi, a popular alternative to Raspberry Pi. What unfolded was a tactical contest showcasing innovation, balance, and adaptability.

⚙️ Pre-Match Profile

LattePanda is a Windows-capable x86-based mini PC that integrates an Intel Atom or Core m processor with an onboard Arduino co-processor, effectively bridging the gap between maker platforms and desktop computing. With up to 4GB RAM, USB 3.0, and HDMI output, it supports full-scale applications, IoT development, and even light programming in Visual Studio.

Banana Pi, on the other hand, features an ARM-based design with models ranging from dual-core to octa-core CPUs, SATA support, and onboard WiFi. It’s a go-to solution for users needing reliable performance in NAS setups, lightweight Linux desktops, and router projects. Its affordability and wide OS support (Android, Debian, Ubuntu) make it highly flexible.

🕹️ Match Summary

From the start, LattePanda took the lead in versatility, scoring early with its ability to run Windows 10 and connect to the Arduino ecosystem simultaneously. It performed strongly in app compatibility and development tools, appealing to both makers and Windows developers.

But Banana Pi counterattacked with its own strengths: excellent Linux performance, impressive energy efficiency, and onboard SATA support for storage-focused tasks. It gained ground during server benchmarks and multitasking tests, leveling the match with its open-source ecosystem.

Mid-game performance tests showed LattePanda rendering web pages and handling Node.js scripts smoothly, while Banana Pi showcased better cooling and thermal consistency during sustained load.

The most exciting moment came in the IoT & GPIO showdown. Banana Pi, with its simpler Linux interface and GPIO control, executed real-time tasks with marginally better latency. LattePanda, however, leveraged its Arduino chip to control sensors and relays with fine-grain precision.

⚖️ Key Stats:

OS Compatibility: LattePanda (Windows/Linux) vs Banana Pi (Linux/Android)

Storage Support: Banana Pi’s SATA gave it a strong file server advantage.

Thermal Load: Banana Pi maintained 10°C lower temps under stress.

Power Draw: Banana Pi consumed 35% less power overall.

GPIO Control: Both devices performed well, with Banana Pi leading in timing accuracy.

🏁 Final Verdict

This match ended in a 2-2 draw, a fair reflection of both boards' capabilities. LattePanda impressed with its dual OS capability and developer tools, while Banana Pi excelled in energy efficiency and server-friendly features. Each device won over different segments of the crowd – LattePanda among tinkerers with Windows needs, Banana Pi among efficient Linux-based projects.

Both teams walk away with a point, keeping Group B competitive and unpredictable.

🏆 Mini Computer World Cup – Grup A Match 2Jetson Nano vs BeagleBone Black

Jetson Nano vs BeagleBone Black

In today’s match of the Mini Computer World Cup, we shift gears and move into the high-performance AI territory. It’s a showdown between the NVIDIA Jetson Nano and the industrial favorite BeagleBone Black. Both contenders are powerful in their own domain—but which one earns the win when judged across speed, utility, I/O, and community support?

Let’s break it down.

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🔧 Overview of the Contenders

Jetson Nano, created by NVIDIA, is a single-board computer optimized for edge AI and deep learning. It features a 128-core Maxwell GPU, quad-core ARM Cortex-A57 CPU, and 4GB of LPDDR4 RAM. It supports Linux (Ubuntu-based JetPack SDK), and its real strength lies in computer vision, robotics, and machine learning applications.

BeagleBone Black, meanwhile, is a reliable workhorse for industrial embedded systems. It uses a 1GHz AM335x ARM Cortex-A8 processor, 512MB DDR3 RAM, onboard eMMC storage, and a large number of GPIO pins. It runs Debian Linux and supports PRU (Programmable Real-time Units), which is a major advantage in time-sensitive hardware applications.

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⚙️ Category-by-Category Analysis

1. Processing Power & GPU

Jetson Nano easily dominates this category. Its GPU allows for real-time object detection, classification, and neural network training. While BeagleBone is sufficient for basic processing, it simply can’t compete with the parallel computing performance of Jetson.

2. GPIO and Industrial Use

This is where BeagleBone strikes back. With over 65 GPIOs and two PRU subsystems, it is incredibly well-suited for direct hardware-level control. For industrial sensors, motors, and control logic, BeagleBone is often the better choice.

3. Community and Software Ecosystem

Jetson Nano has a growing and very active developer community, especially in AI and robotics. However, BeagleBone has been around longer in the embedded systems world and enjoys solid support in industrial forums and open-source platforms.

4. OS and Compatibility

Both run Linux, but Jetson’s JetPack SDK is more advanced for developers using TensorFlow, PyTorch, OpenCV, and other ML tools. BeagleBone’s Debian-based OS is lighter and more stable for control systems.

5. Connectivity and Ports

Jetson Nano features USB 3.0, HDMI, Gigabit Ethernet, and CSI camera interfaces—ideal for multimedia and high-speed data applications. BeagleBone includes USB 2.0, micro HDMI, and CAN bus, which is useful in automotive and robotics.

6. Price and Power Consumption

BeagleBone Black is more affordable (~$60) and more energy-efficient. Jetson Nano is around ~$100 and demands 5–10W power depending on load. That may be a concern in mobile or solar-powered setups.

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🧠 Final Verdict

If your project needs AI capabilities, GPU processing, or robotics vision, Jetson Nano is your go-to board. It’s more advanced, powerful, and flexible for edge computing. However, if you're designing an industrial automation system, need ultra-reliable GPIO handling, or want real-time low-level control, BeagleBone Black is the better fit.

This match is close—but Jetson Nano narrowly takes the win with its advanced computing edge.

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🏁 Final Score: Jetson Nano wins (3–2)

Man of the Match: Jetson Nano’s 128-core GPU

🏆 Mini Computer World Cup –Grup B Match 11: Tinker Board vs Intel NUC 11

 🏆 Mini Computer World Cup – Match 11: Tinker Board vs Intel NUC 11

Final Score: Intel NUC 11 – 3 | Tinker Board – 1

The 11th match of the Mini Computer World Cup brought two vastly different machines face to face: the powerful Intel NUC 11, a compact desktop-class mini PC, and the agile ASUS Tinker Board, known for its embedded system capabilities. Despite the underdog spirit of the Tinker Board, the NUC 11's superior hardware made a strong impact from start to finish.

⚙️ Pre-Match Comparison

Tinker Board, equipped with a quad-core ARM Cortex-A17 processor and 2GB RAM, is optimized for makers and enthusiasts who prioritize GPIO accessibility and hardware interfacing. It has gained popularity in the DIY community for its decent GPU (Mali-T764) and multimedia support.

On the other hand, Intel NUC 11, powered by 11th-gen Core i5/i7 processors, offers a desktop-grade experience in a small form factor. With up to 32GB DDR4 RAM and integrated Intel Iris Xe graphics, it's often used in applications that require high processing power such as media servers, mini workstations, or virtualization platforms.

🕹️ Match Summary

From the opening whistle, Intel NUC 11 dominated in raw performance. It completed multitasking and emulation benchmarks with ease, scoring early "goals" in the processing and graphical power categories. The Tinker Board responded with agility in boot times and GPIO latency tests, where its lean system architecture gave it a slight edge.

However, the NUC 11 regained control with superior thermal management and expandability, effectively "scoring" in the modularity and versatility sections. Its ability to handle high-resolution video editing and complex AI inference tasks added crucial points to its scoreboard.

The Tinker Board, despite putting up a valiant fight in energy efficiency and cost-to-performance ratio, couldn’t bridge the performance gap. Its lightweight Debian-based OS enabled it to handle IoT-focused workloads well, but the NUC’s desktop-caliber power proved too strong.

⚖️ Key Stats:

CPU Benchmarks: Intel NUC leads by over 70% performance margin.

GPU Performance: NUC Iris Xe GPU rendered 4K video at 60fps with ease.

GPIO & Boot Time: Tinker Board was 20% faster on average boot and GPIO reaction.

Thermal Efficiency: NUC remained stable under load thanks to active cooling.

🏁 Final Verdict

Intel NUC 11 wins 3-1 against the Tinker Board in a compelling clash of philosophies: brute-force performance versus embedded efficiency. While the Tinker Board shines in education, automation, and embedded systems, the NUC 11's overwhelming power and versatility make it the undisputed winner of this match.

With this victory, Intel NUC 11 strengthens its position in Group B and appears as a strong favorite for the knockout stages.

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Title: Mini Computer World Cup – Grup A Match 1: Raspberry Pi 4 vs Arduino Mega 2560

Welcome to the first match of the Mini Computer World Cup! Today, we are featuring a head-to-head comparison between two of the most iconic development boards: Raspberry Pi 4 Model B and Arduino Mega 2560.

Raspberry Pi 4 comes in strong with a quad-core Broadcom processor (1.5GHz), 2-8GB RAM options, and support for HDMI, USB 3.0, Ethernet, and WiFi. It runs a full Linux OS, which makes it a complete single-board computer for multitasking, programming, and IoT applications.

On the other hand, Arduino Mega 2560 is a classic microcontroller board based on the ATmega2560. It features 54 digital I/O pins, 16 analog inputs, and excels in real-time control applications like robotics and embedded systems. However, it lacks native OS support and is limited in computing power.

In terms of CPU power and memory, Raspberry Pi clearly dominates. It’s like Brazil facing a small football team — highly advanced, with plenty of options for developers. But in terms of simplicity and precision control, Arduino holds its ground, especially in electronics and sensor-driven projects.

Energy consumption is another factor. Raspberry Pi consumes around 3-7W, depending on usage, while Arduino Mega is ultra-efficient, barely using more than 0.5W, making it ideal for battery-powered applications.

Price-wise, Arduino is cheaper, around $25, while Raspberry Pi 4 ranges between $35 to $75 depending on the RAM.

Final Scorecard:

Processing Power: Raspberry Pi 4 🟢

Power Efficiency: Arduino Mega 🟢

Connectivity & OS: Raspberry Pi 4 🟢

I/O for Embedded: Arduino Mega 🟢

Price: Arduino Mega 🟢

Match Result: Raspberry Pi 4 wins by 3 categories to 2. It gets 3 points in the group stage. Arduino Mega fights valiantly and earns 0 points, but proves why it's still a beloved board for DIY engineers.

Arduino Uno ile LED Yakma ve Söndürme Projesi — Başlangıç Seviyesi

+----------------+

       |   Arduino Uno  |

       |                |

       |   [13] o-------|---------+ 

       |                |         | 

       |   [GND] o------|----+    | 

       +----------------+    |    | 

                              |    | 

                             LED   |

                          (Anot)  (Katot)

                              |    | 

                              |   [220Ω]  

                              |    | 

                              +----+-----> GND

Arduino Uno, elektronik dünyasına adım atmak isteyenler için en çok tercih edilen geliştirme kartıdır. Bu basit LED kontrol projesi sayesinde Arduino'nun nasıl çalıştığını öğrenebilir, kendi akıllı cihazlarını yapmaya ilk adımı atabilirsiniz.

✔️ Uygun fiyatlı, ✔️ Kolay programlanabilir, ✔️ Binlerce proje desteği!

> 💡 Bu kartla neler yapılmaz ki? Akıllı ev sistemleri, robotlar ve sensör tabanlı cihazların temelini atabilirsiniz!

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🛠️ Malzeme Listesi:

1 adet Arduino Uno

1 adet LED (Kırmızı, Yeşil veya istediğiniz renk)

1 adet 220 ohm direnç

1 adet Breadboard

2 adet Jumper kablo (Erkek-Erkek)

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🔌 Devre Bağlantısı:

LED’in anodu (uzun bacak) → Arduino Uno Dijital Pin 13

LED’in katodu (kısa bacak) → 220 ohm direnç → GND (toprak)

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🖥️ Devre Şeması Görseli:

(Görsel hazırlanıyor. Onay verirsen birazdan yapacağım.)

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💻 Arduino Kodları:

void setup() {

  pinMode(13, OUTPUT); // 13 numaralı pin çıkış olarak ayarlanıyor

}

void loop() {

  digitalWrite(13, HIGH); // LED yanıyor

  delay(1000);            // 1 saniye bekle

  digitalWrite(13, LOW);  // LED sönüyor

  delay(1000);            // 1 saniye bekle

Akıllı Bahçe Sulama Sistemi: Raspberry Pi ve Arduino ile Otomasyon

Akıllı Bahçe Sulama Sistemi: Raspberry Pi ve Arduino ile Otomasyon

Bahçenizi veya bitkilerinizi sağlıklı tutmak için düzenli sulama çok önemlidir. Ancak yoğun yaşam temposunda sulamayı zamanında yapmak zor olabilir. İşte bu noktada, Raspberry Pi ve Arduino kullanarak kendi akıllı bahçe sulama sisteminizi kolayca kurabilirsiniz.

Projenin Temeli

Bu sistemde Arduino, toprak nem sensörlerinden aldığı verilerle bitkilerin ne zaman sulanması gerektiğini belirler. Sulama işlemi, bağlı olan su pompası veya röle aracılığıyla otomatik olarak gerçekleşir. Raspberry Pi ise bu sistemi merkezi olarak yönetir, verileri toplar ve uzaktan erişim için web arayüzü sunar.

Nasıl Çalışır?

Arduino, toprak nem sensörlerinden aldığı gerçek zamanlı verileri işler ve sulama gerektiren durumu tespit eder. Bu bilgiler seri haberleşme ile Raspberry Pi’ye gönderilir. Raspberry Pi, verileri kaydeder, kullanıcıya grafiklerle sunar ve gerektiğinde sulama komutu verir. Ayrıca internet üzerinden mobil cihazlar ile sulama durumunu kontrol etmek ve ayarları değiştirmek mümkündür.

Neden Bu Proje?

Enerji ve Su Tasarrufu: Bitkiler sadece ihtiyaç duyduklarında sulanır.

Uzaktan Kontrol: Mobil veya bilgisayarınızdan sistem durumunu takip edebilirsiniz.

Öğrenme Fırsatı: Hem Arduino hem de Raspberry Pi ile IoT uygulamalarını deneyimleyebilirsiniz.

Sonuç

Bu akıllı bahçe sulama sistemi, hem pratik hem de çevre dostu bir çözümdür. Arduino’nun sensör yönetimi ve Raspberry Pi’nin güçlü işlem yetenekleri birleşerek, bahçenizi akıllı bir hale getirir. Teknoloji ile doğayı buluşturan bu proje, elektronik meraklıları ve bahçe tutkunları için ideal bir başlangıçtır.

Bluetooth ile LED Kontrolü – Arduino + HC-05 Projesi

Telefonla LED Yak: Arduino ve HC-05 ile Kablosuz Aydınlatma Kontrolü

</ >

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📌 Giriş:

Bir butona basmadan sadece telefonla LED yakmak ister misiniz? Arduino ile HC-05 Bluetooth modülünü kullanarak LED kontrolünü cep telefonunuz üzerinden sağlayabilirsiniz. Bu proje sayesinde temel Bluetooth iletişimini öğrenip kablosuz kontrolün temellerini kavrayabilirsiniz.

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🧰 Kullanılan Malzemeler

Arduino UNO / Nano – Bluetooth sinyallerini işler ve LED’e komut gönderir

HC-05 Bluetooth Modülü – Telefon ve Arduino arasında kablosuz köprü

LED + 220Ω Direnç – Telefonla aç/kapa yapılacak ışık

Android Bluetooth Terminal Uygulaması – Telefon üzerinden komut gönderimi

Jumper kablolar – Kolay bağlantı sağlar

⚠️ Bu bileşenler, mobil kontrollü ev otomasyonu projelerinin temelini oluşturur. Anahtarsız kontrol için idealdir.

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🔌 Bağlantı Açıklaması:

HC-05 Bağlantısı:

 • VCC → 5V

 • GND → GND

 • TX → Arduino RX (D0)

 • RX → Arduino TX (D1) (Not: HC-05 3.3V veri seviyesi kullanır, direnç bölücü önerilir)

LED:

 • Anot → D8

 • Katot → 220Ω → GND

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📲 Telefon Uygulaması:

Google Play’den “Bluetooth Terminal” gibi bir uygulama indirip HC-05’e bağlanın.

"1" gönderildiğinde LED yanar

"0" gönderildiğinde LED söner

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💡 Arduino Kodu:

char gelen;

void setup() {

  Serial.begin(9600);

  pinMode(8, OUTPUT);

}

void loop() {

  if (Serial.available()) {

    gelen = Serial.read();

    if (gelen == '1') digitalWrite(8, HIGH);

    if (gelen == '0') digitalWrite(8, LOW);

  }

}

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📶 Proje Nerede Kullanılır?

Telefon kontrollü aydınlatma

Mobil kumanda sistemleri

Akıllı ev otomasyonu giriş seviyesi

DIY robot kontrol projeleri

Ses Kontrollü Robot Kol: Raspberry Pi ve Arduino ile Hareketli Sistem

Ses Kontrollü Robot Kol: Raspberry Pi ve Arduino ile Hareketli Sistem

Robotik projelere ilgi duyuyorsanız, bu proje tam size göre! Raspberry Pi’nin ses tanıma gücü ve Arduino’nun hassas motor kontrolü birleşerek ses komutlarıyla çalışan bir robot kol sistemine dönüşüyor. “Sağa dön”, “Yukarı kaldır”, “Aç kapat” gibi sesli komutlarla robot kolunuzu yönetebilirsiniz.

Projenin Amacı

Raspberry Pi, mikrofon modülü ile ses komutlarını tanır ve işleme sokar. Tanınan komutlar Arduino’ya iletilir. Arduino ise bu komutlara karşılık olarak servo motorları çalıştırır ve robot kolu hareket ettirir. Böylece tamamen ses kontrollü bir sistem ortaya çıkar.

Nasıl Çalışır?

Raspberry Pi üzerinde Python ile çalışan bir ses tanıma kütüphanesi (örneğin SpeechRecognition veya Google Voice API) yardımıyla ses komutları tanımlanır. Komut tanındığında, Raspberry Pi Arduino’ya seri port üzerinden bir karakter veya kelime gönderir. Arduino, gelen komuta göre ilgili motoru hareket ettirerek kolu yönlendirir.

Geliştirme Fikirleri:

Çok eksenli robot kol (5 veya 6 DOF)

Nesne algılayan kamera entegrasyonu

Web arayüzü ile yedek kontrol

Bluetooth mikrofon desteği

Sonuç

Raspberry Pi ve Arduino’nun mükemmel uyumuyla geliştirilen bu ses kontrollü robot kol, hem yazılım hem de donanım açısından ileri düzey bir projedir. Özellikle yapay zeka, robotik ve IoT ile ilgilenen öğrenciler ve geliştiriciler için yaratıcı ve öğretici bir deneyim sunar.

Akıllı Enerji Takip Sistemi: Raspberry Pi ve Arduino ile Elektrik Tüketimi Analizi

Akıllı Enerji Takip Sistemi: Raspberry Pi ve Arduino ile Elektrik Tüketimi Analizi

Ev ya da ofislerde enerji tüketimini anlık olarak takip etmek, hem tasarruf sağlamak hem de bilinçli tüketim için büyük önem taşır. Bu projede Arduino ve Raspberry Pi kullanarak enerji kullanımını izleyen, analiz eden ve grafiklerle raporlayan bir akıllı enerji takip sistemi kuruyoruz.

Projenin Amacı

Arduino, akım sensörleri (CT sensörleri) kullanarak belirli cihazlardan geçen elektrik akımını ölçer. Raspberry Pi ise bu verileri toplayarak bir veritabanına kaydeder ve web arayüzü üzerinden kullanıcıya sunar. Bu sistemle hangi saatlerde en fazla enerji harcadığınızı görebilir, gereksiz tüketimi azaltabilirsiniz.

Nasıl Çalışır?

Arduino, ACS712 gibi akım sensörleri yardımıyla anlık elektrik akımını ölçer ve seri iletişim üzerinden bu verileri Raspberry Pi’ye gönderir. Raspberry Pi, gelen verileri işler, saklar ve grafiklerle görselleştirir. Ayrıca belirlenen sınır aşıldığında kullanıcıya e-posta ile uyarı gönderebilir.

Geliştirme Fikirleri:

Anlık ve günlük tüketim raporu

WiFi bağlantılı mobil kontrol paneli

Aşırı tüketimde cihaz otomatik kapatma (röle ile)

Google Sheets entegrasyonu

Sonuç

Arduino ve Raspberry Pi kombinasyonu ile geliştirilen bu enerji takip sistemi, elektrik tasarrufu için güçlü bir adımdır. Hem ev otomasyonu hem de IoT tabanlı enerji çözümleri için temel oluşturur. Proje, çevre bilinci ve dijital sistemler arasında sağlam bir köprü kurar.

Arduino ile IR Kumanda Kontrollü LED Sistemi

Uzaktan Kumanda ile LED Kontrolü: Arduino + IR Alıcı Projesi

📌 Giriş:

Eski bir TV kumandanız mı var? Onu değerlendirmenin zamanı geldi! Bu projede, Arduino ve IR (kızılötesi) alıcı kullanarak bir LED’i uzaktan kumanda ile açıp kapatıyoruz. Bu proje ile temel IR iletişimini öğrenebilir ve ev otomasyonuna ilk adımı atabilirsiniz.

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🧰 Kullanılan Malzemeler 

Arduino UNO / Nano – IR alıcı kontrolü için ideal kontrolcü

IR Alıcı Modül (VS1838B / HX1838) – TV kumandalarıyla çalışır, ucuz ve güvenilir

IR Kumanda – Eski televizyon veya set üstü kutu kumandası kullanılabilir

LED + 220Ω Direnç – Uzaktan kontrol edilecek ışık

Jumper kablolar – Bağlantılar için

⚠️ Bu proje temel IR protokolünü öğretir. Daha sonra bu altyapıyla uzaktan fan, lamba, perde gibi sistemleri kontrol edebilirsin.

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🔌 Bağlantı Açıklaması:

IR Alıcı Modül

 • OUT → Arduino D11

 • VCC → 5V

 • GND → GND

LED

 • Anot → D3, Katot → 220Ω → GND

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🧠 Kod (IRremote kütüphanesi ile):

#include <IRremote.h>

int receiver = 11;

IRrecv irrecv(receiver);

decode_results results;

void setup() {

  Serial.begin(9600);

  irrecv.enableIRIn();

  pinMode(3, OUTPUT);

}

void loop() {

  if (irrecv.decode(&results)) {

    Serial.println(results.value, HEX);

    if (results.value == 0xFFA25D) {  // Örnek tuş kodu

      digitalWrite(3, !digitalRead(3)); // LED'i aç/kapat

    }

    irrecv.resume();

  }

}

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📺 Proje Nerede Kullanılır?

Oturma odası ışık sistemi

DIY medya kontrol sistemleri

IR tabanlı ev otomasyonu

Uzaktan kumandalı çocuk oyuncakları

Ev Güvenlik Sistemi: Raspberry Pi ve Arduino ile Akıllı Alarm ve Kamera Projesi

Ev Güvenlik Sistemi: Raspberry Pi ve Arduino ile Akıllı Alarm ve Kamera Projesi

Ev güvenliğini artırmak istiyorsanız, Raspberry Pi ve Arduino ile oluşturulan bu akıllı güvenlik sistemi tam size göre! Bu sistem sayesinde hem hareket algılayabilir hem de görüntü kaydedebilir ve dilediğinizde telefonunuza uyarı gönderebilirsiniz.

Projenin Amacı

Bu projede Arduino, PIR hareket sensörleri ve kapı/pencere sensörlerini yönetir. Hareket algılandığında Arduino, Raspberry Pi’ye bilgi gönderir. Raspberry Pi ise bağlı kamera ile video kaydeder ve aynı anda internet üzerinden size e-posta veya anlık bildirim yollar.

Nasıl Çalışır?

Arduino, düşük güçte çalışan ve sürekli tetikte olan sensörleri izler. Bir hareket algılandığında, sinyal Raspberry Pi’ye iletilir. Raspberry Pi, bu sinyalle kamerayı aktif hale getirir, görüntü kaydını başlatır ve önceden tanımlı e-posta adresine alarm bildirimi gönderir. İsteğe bağlı olarak sistem, bulut depolama veya mobil uygulamalarla da entegre edilebilir.

Sistem Özellikleri:

Hareket ve temas algılama

Raspberry Pi kamera modülü ile kayıt

E-posta veya SMS bildirim sistemi

Geliştirilebilir web arayüzü ile canlı izleme

Sonuç

Bu kombine sistem hem düşük maliyetlidir hem de esnek bir altyapıya sahiptir. Arduino’nun sensör yönetimi ve Raspberry Pi’nin işlem gücü sayesinde evinizin güvenliği size özel bir sistemle sağlanır. Kodlama, sensör kullanımı ve ağ bağlantılarını birleştiren bu proje, hem öğretici hem de pratik bir deneyim sunar.

Güneş Enerjili USB Şarj Cihazı

Doğadan Güç Al: Güneş Enerjili USB Şarj Cihazı Yapımı (TP4056 + 18650 Batarya)

📌 Giriş:

Elektrik olmasa da cihazlarınızı şarj edebilirsiniz! Bu projede güneş paneli, şarj devresi ve 18650 batarya kullanılarak tamamen taşınabilir bir USB şarj cihazı yapıyoruz. Elektrik kesintileri, kamp, doğa gezileri ve afet anları için birebir.

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🧰 Kullanılan Malzemeler

Güneş Paneli (5V – 1W/2W) – Doğrudan güneşten enerji alır

TP4056 Şarj Devresi – 18650 Li-ion pilin güvenli şarjı için

18650 Batarya – Yüksek kapasiteli, tekrar şarj edilebilir pil

Boost Converter (MT3608) – 3.7V batarya çıkışını 5V USB’ye çevirir

USB çıkış soketi – Telefon veya cihaz bağlantısı için

⚠️ Bu parçalarla oluşturulan sistem düşük maliyetli, doğa dostu ve taşınabilir enerji çözümüdür. Geliştirilerek çoklu çıkışlı powerbank yapılabilir.

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🔌 Bağlantı Açıklaması:

Güneş Paneli → TP4056 IN+ / IN−

TP4056 OUT+ / OUT− → 18650 bataryaya

Boost Converter IN+ / IN− → batarya çıkışı

Boost Converter OUT+ / OUT− → USB çıkışı

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🔋 Kullanım Alanları:

Kamp ve doğa gezileri

Elektrik kesintilerinde telefon şarjı

Afet çantası için mobil enerji çözümü

Güneş enerjisi temelli STEM projeleri

Arduino ile Sıcaklık ve Nem Göstergesi Yapımı

Arduino ile Sıcaklık ve Nem Göstergesi Yapımı

Ev ortamınızı veya seranızı kontrol altında tutmak için sıcaklık ve nem ölçümü oldukça önemlidir. Arduino ile DHT11 sensörünü kullanarak basit bir sıcaklık ve nem göstergesi yapabilirsiniz. Bu proje hem elektronik hem de programlama bilgilerinizi geliştirmek için harika bir başlangıçtır.

Gerekli Malzemeler:

Arduino Uno (veya benzeri)

DHT11 sıcaklık ve nem sensörü

16x2 LCD ekran (I2C modüllü tercih edilir)

Jumper kabloları ve breadboard

USB kablosu ve bilgisayar

Projenin Amacı:

DHT11 sensörü ortamın sıcaklık ve nem değerlerini algılar. Arduino bu verileri okuyarak LCD ekranda anlık olarak gösterir. Böylece ortam koşullarını kolayca takip edebilirsiniz.

Nasıl Çalışır?

DHT11 sensörü Arduino’ya dijital pin üzerinden bağlanır. Arduino, sensörden gelen dijital sinyali okur ve sıcaklık ile nem değerlerini hesaplar. Bu değerler LCD ekranda kullanıcı dostu şekilde gösterilir. Proje, sensör okuma, veri işleme ve ekran kontrolü gibi temel kavramları içerir.

Geliştirme Fikirleri:

Değerleri SD karta kaydetme

OLED ekran kullanarak daha şık arayüz

WiFi modülü ile verileri buluta gönderme

Alarm sistemi ile belirli sıcaklık veya nem seviyelerinde uyarı

Sonuç:

Arduino ile sıcaklık ve nem göstergesi yapmak, günlük hayatınızda kullanabileceğiniz pratik bir projedir. Elektronik ve kodlama yeteneklerinizi geliştirirken aynı zamanda çevrenizi daha iyi anlamanızı sağlar.