Adding AI to Your ESP32 - Machine Learning and Object Detection

Discover how to incorporate machine learning capabilities into ESP32 devices in this informative 11-minute video. Learn about object detection with web browser streaming, image recognition, keyword spotting, time series data analysis, and even Little Language Models (LLM). Explore the use of EdgeImpulse and Google TensorFlow Lite for Microcontrollers to implement these AI features. Get familiar with various hardware options, including M5StickC PLUS2, M5Stack Unit Cam Wi-Fi Camera, Seeed Studio XIAO ESP32 S3 Sense, and LILYGO T-Camera S3 ESP32-S3. Access valuable resources, including GitHub repositories for ESP32 machine learning examples and LLM implementations, as well as tutorials for model training using EdgeImpulse and Google Colab. Gain insights into data forwarding techniques and compare code differences using provided tools.