ESP32 Handwriting Recognition - AI On A Microcontroller скачать в хорошем качестве

ESP32 Handwriting Recognition - AI On A Microcontroller

Neural Networks based Hand-drawn character recognition on ESP32-S3 Learn how we built a real-time touch gesture recognition system that can classify drawn characters using machine learning! This project combines hardware and AI to create an interactive drawing experience. 🔧 Hardware Used: Waveshare ESP32-S3 1.28 Touch LCD 🧠 Machine Learning Pipeline: Custom data collection system for touch gestures TensorFlow CNN model trained on 5 characters (B, L, I, T, Z) Model optimized for embedded deployment Real-time inference on ESP32-S3 💻 Technologies Used: TensorFlow & Keras for model training MicroTFLite for embedded inference Arduino IDE for ESP32 programming Custom touch data collection pipeline 👉 Source Code & Documentation: https://github.com/practice-together/...