This repository would show you how to make an object detection remote control camera with ESP32-CAM module

Using ESP32-CAM for the Object Detection system

An IoT-based multi-person fall detection system using YOLO and ESP32-CAM. This project integrates advanced object detection with ESP32-CAM for real-time fall detection in multi-person environments, suitable for smart surveillance, healthcare, and security systems

Smart pet feeder using object detection and ESP32-cam

ESP32 CAM wireless computer vision objects detection.

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.

ESP32 Cam RTSP with Tensorflow Object Detection

Just an example program for combining the OLED Display with Edge Impulse's Arduino Library Code.

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

TensorFlow Object Detection with Video Stream from ESP32-CAM

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An ESP32-CAM based object detection project using Edge Impulse, featuring real-time inference and live video streaming via a built-in web server.

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Transform your ESP32-CAM into a smart eye that spots objects based on color in real-time!

This is a proof of concept for live object detection using YOLO and ESP32 Cam.

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Object detection with an ESP32-CAM module and Arduino involves using the ESP32 microcontroller, coupled with a camera module, to capture images and process them to identify objects. The ESP32-CAM is a versatile module that combines the ESP32 microcontroller with a camera, making it suitable for image processing applications.

Elaborated an ESP32-CAM-based person tracking system integrating real-time video streaming, motorized camera movement, and an opti- mized object detection model, achieving 85% accuracy in person identification and maintaining subject centering with ±10% deviation.

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Real-time object detection system using ESP32-CAM and YOLOv3 with Python OpenCV

Real-time object detection of microcontrollers and sensors (ESP32, Arduino, DS18B20, etc.) using ESP32-CAM and Edge Impulse. Ideal for smart inventory, embedded demos, and edge AI applications.

Agron Cloak is an IoT, TensorFlow, NextJS & .NET security detection web app that detects pests & objects in any setting. (ESP32 CAM & PIR Sensor)

AI-powered surveillance vehicle with ESP32-CAM for real-time streaming and YOLO-based object detection. Features robotics-based GPIO control, web APIs for remote control via PyQt5, and real-time detection using multi-threading. Backend and ML-driven design. https://youtu.be/T7p0-L5nbjI (ML test) https://youtube.com/shorts/IsJDYwo2vSI (Vehicle Live)

Code and data for the experiment 'Sensor Fusion for Real-Time Object Detection and Spatial Positioning in Unmanned Vehicles Using YOLOv8 and ESP32-Cam'

An open-source smart firefighter robot using STM32, NRF24L01, ESP32-CAM, sensors, and a custom-built wireless remote for fire detection, object handling, and emergency gas response operations.

A quantized TensorFlow Lite–based real-time object detection system on ESP32-CAM, optimized with the EON™ Compiler for low-latency, low-memory, and portable AI-IoT deployment.

Real-time object detection system using YOLOv8 with ESP32-CAM video stream. Detects objects, announces their positions (left, center, right), and sends results to a Flask server with debouncing and aggregation to avoid repetitive outputs.

Object-Detection for [ESP32-CAM]