Why DIY Smart ChessBoards Are Capturing Enthusiasts’ Imagination

The intersection of hardware and open-source software has long been a playground for hobbyists, but chess-themed projects stand out for their blend of tactile interaction and digital integration. Devices like chess-pro embody this trend, merging physical board mechanics with real-time digital play. For many, chess is more than a game—it’s a puzzle, a strategy exercise, or a nostalgic pastime. Chess-pro aims to bridge the gap between traditional board play and modern tech, offering a physical interface that responds to moves, analyzes games locally, and connects seamlessly to online platforms. This makes it particularly appealing to players who want to enhance their experience with tools like Stockfish analysis or Lichess puzzles without relying on clunky apps or separate devices.

Enter Chess Pro — A Hardware-Driven Chess Experience

Chess Pro is a smart chess board that transforms a physical game into a hybrid digital-physical system. Built on a Raspberry Pi Zero 2W (or Orange Pi Zero 2W) and written in Go, it uses 64 Hall effect sensors to track piece positions, WS2812B LEDs for visual feedback, and dual displays (e-paper and OLED) for dual-purpose information. The core idea is simple: place a chess piece on a square, and the board detects it instantly. Moves trigger animations, engine analysis, and updates on both the board and a connected Lichess account. What sets it apart is its focus on hardware precision—each sensor, magnet, and LED is meticulously designed to work in concert, creating a responsive system that feels almost magical when in use.

The Interesting Bits

One standout feature is its power-loss protection, achieved through a custom DietPi image. This is a practical innovation for DIY hardware—unlike many projects where a sudden power cut can corrupt data or leave sensors in an unstable state, chess-pro’s overlay system ensures the board remains functional after unplugging. The safety circuit combining an Arduino Nano and an INA219 current sensor is equally clever. It prevents the LED strip from overloading power supplies, a common issue with WS2812B LEDs drawing high current. This hardware-level safeguard shows the project’s attention to real-world reliability, not just theoretical design.

Another highlight is the e-paper display’s pixel-art rendering. Instead of pre-designed bitmaps, the board generates chess pieces algorithmically in Go. This reduces storage needs and allows for cleaner, scalable visuals. The OLED display complements this by handling dynamic stats like engine depth or clock time, proving the team understood how to split functionality between displays effectively.

The Lichess integration is also noteworthy. While many smart boards connect to online platforms, chess-pro ensures moves from Lichess appear on the physical board without delay. This requires precise synchronization between the board’s sensors and the API, a challenge the project addresses with a dedicated BLE companion app for initial WiFi provisioning.

Caveats

The project’s complexity is its biggest hurdle. Assembling 64 Hall sensors, managing wiring for LEDs and displays, and configuring the DietPi image requires significant effort. It’s not a plug-and-play solution; even experienced makers might spend hours debugging sensor alignment or power management. Additionally, the reliance on specific hardware—like the Raspberry Pi Zero 2W or Orange Pi—limits scalability. While the open-source nature allows for customization, adapting it to other boards or components would demand deep technical knowledge.

The README also avoids mentioning certain limitations. For instance, there’s no detail on long-term sensor calibration or how the board handles weak magnetic fields (e.g., near metal objects). These gaps suggest the project is best suited for controlled environments rather than general use.

If You Want to Run It

Chess-pro is ideal for advanced hobbyists or developers comfortable with hardware assembly and Go programming. You’ll need a Raspberry Pi Zero 2W or Orange Pi Zero 2W, a DietPi-compatible SD card, and components like A3144 sensors, WS2812B LEDs, and an SSD1681 e-paper display. Stockfish and Lichess API access are also required. The project’s documentation provides build and deployment instructions, but expect to troubleshoot hardware quirks along the way. For detailed steps, refer to the README at chess-pro.

The source is on GitHub.