This project enables object detection on the ESP32-CAM. Captured images are preprocessed, object detection is performed using a TensorFlow Lite model trained with Edge Impulse, and the results are sent to a local PHP server for display on a webpage.
- Capture Images: Use the ESP32-CAM to capture images.
- Preprocess Images: Preprocess the captured images with TensorFlow Lite.
- Object Detection: Perform object detection using TensorFlow Lite.
- Post Results: Send the results to a local PHP server.
- Display Results: Show the results on a webpage with the confidence percentage.
- ESP32-CAM: A low-cost development board with an integrated camera.
- TensorFlow Lite: A lightweight framework for machine learning inference on microcontrollers.
- Edge Impulse: A platform for training and deploying machine learning models on edge devices.
- PlatformIO: Arguably the best IDE for embedded development.
- FreeRTOS: A real-time operating system kernel for embedded devices.