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/...
Watch video Character Recognition Machine Learning Tensorflow Tutorial online without registration, duration hours minute second in high quality. This video was added by user BlitzGeek: Tech, Code, AI in a Flash 17 February 2025, don't forget to share it with your friends and acquaintances, it has been viewed on our site 426 once and liked it 17 people.