_i11-ml-chessboard-app.jpg "I11-ML Chessboard App from nn model Video Screenshot Preview")
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⏲ Duration: 1 min 43 sec
✓ Published: 30-Apr-2021
✓ Published: 30-Apr-2021
Description:
The ML Chessboard Application is a showcase of how we can use Machine Learning in low power systems like an MCU. The application uses a Machine Learning model to identify the state of a chessboard by analyzing every piece on the board individually. The machine learning model uses the CMSIS-NN framework and is trained on the MNIST number recognition dataset. The system also requires image processing and embedded systems knowledge for the Arducam MT9D111 camera module. This project is simply a sho
The ML Chessboard Application is a showcase of how we can use Machine Learning in low power systems like an MCU. The application uses a Machine Learning model to identify the state of a chessboard by analyzing every piece on the board individually. The machine learning model uses the CMSIS-NN framework and is trained on the MNIST number recognition dataset. The system also requires image processing and embedded systems knowledge for the Arducam MT9D111 camera module. This project is simply a sho
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