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.

کنترل هوشمند دوربین نظارتی با قراردادهوشمند با استفاده از استاندارد ERC1155، از این قرارداد هوشمند به عنوان یک ابزار کنترلی برای دوربین نظارتی در سیستم‌های امنیتی و ارائه خدمات مرتبط استفاده می شود

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.

"AI Home Security System using Face Recognition, Motion Detection & Telegram Alerts — Turn any phone or webcam into a smart security camera."

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

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.

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.