Real-time human detection and tracking camera using YOLOV5 and Arduino
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Updated
Nov 26, 2023 - Python
Real-time human detection and tracking camera using YOLOV5 and Arduino
InfraCamControl is a Raspberry Pi-based smart camera system with infrared control, computer vision, and gesture recognition. It supports Slack commands, adjusts lighting, and enables voice control via Apple devices.
Edge AI SDK for face recognition & cat/dog individual recognition — public headers, docs & samples. Contact us for a trial library.
Engineering Exploration project for FY BTech
The Smart Security Camera System is a Python project that leverages facial recognition, real-time alerts, and video streaming to enhance home security. It detects unrecognized individuals, sends SMS alerts, and provides remote access to live video feeds. Experience advanced surveillance with easy setup and intuitive controls.
VisionX is a privacy-focused,AI-powered smart camera system built for under $20. Combining an ESP32-CAM with a local Ollama vision model, it delivers real-time scene understanding and face recognition—all without cloud dependencies. Features live MJPEG streaming, touch-triggered AI analysis, OLED display, and TTS feedback through a cyberpunk web UI
"AI Home Security System using Face Recognition, Motion Detection & Telegram Alerts — Turn any phone or webcam into a smart security camera."
This project presents a real-time smart camera tracking system that uses motion-based multiple object tracking combined with particle filtering for robust tracking. Implemented in MATLAB with an Arduino-controlled pan-tilt servo for real-time camera adjustments.
This project is a Smart Anti-Theft Camera System built on the ESP32-CAM platform. It integrates a PIR motion sensor, an onboard camera, a buzzer, and an LED to detect intrusions, trigger local alarms, and send real-time visual alerts to users via a Telegram Bot.
Smart Cameras in Livestock Farming: How AI, ML, and IoT Are Transforming the Industry
Embedded camera node for ESP32-S3/ESP32-CAM with real-time CV processing.
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