This project converges the ESP32 CAM Module with Google Vision API to construct an AI Camera. Inclusive of TFT and LCD display support, it facilitates seamless object detection in captured frames ideal for image labeling, face detection, OCR, and content tagging. Bridging AI and IoT offers an insightful exploration of image processing capabilities.

Building a security camera with ESP32-CAM and workers-ai for object detection

An AI-powered surveillance system integrating object detection, facial recognition, & real-time alerts. Using TensorFlow/Keras & YOLO on Raspberry Pi/ESP32-CAM, it enhances cameras with intrusion detection, fall detection, & vehicle monitoring. Features email alerts, video analytics, robotics-based GPIO control for intelligent, efficient security.

ESP32-CAM-based AI security camera with motion detection, object classification (Edge Impulse), instant notifications to Telegram, and data logging to Google Sheets

This is the full code for : A Smart AI Camera System with Google Vision and ESP32-CAM for Enhanced Object Detection and Image Analysis

Real-time object detection on ESP32-CAM using Edge Impulse. Captures JPEG frames via the OV2640 camera, converts to RGB888, resizes/crops to model input size, and runs on-device ML inference. Supports bounding box detection, classification, and anomaly detection. Compatible with AI Thinker and ESP-EYE camera modules.