The project introduces a cost-effective electrical chessboard that detects piece positions in real time using magnetic field sensors.
This non-optical approach allows scalable tracking across the entire board.
The system supports future enhancements such as wireless connectivity and AI analysis.
Building on this foundation, the system employs a structured approach to sensor configuration using controlled power sequencing and address assignment, enabling precise identification of sensor data across an 8×8 grid. Data is read sequentially through I²C communication, with each square monitored independently.
This design allows seamless integration with a microcontroller for real-time data processing, visualization, and potential remote access. The architecture is scalable and ready for additional features such as interactive displays, mobile app control, or automated game analysis, opening the door to smart and connected gameplay experiences.
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