Real-Time Object Detection
📌 Project Information
| Project Detail | Information |
|---|---|
| Project Name | Real-Time Object Detection |
| Language Used | Python |
| Database | None |
| Type | Web Application |
| Developer | UPDATEGADH |
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🎯 Project Description
Real-Time Object Detection is a premium, real-time object detection application developed using Python, OpenCV, and Flask. It processes webcam video in real-time and detects objects—specifically faces—with live bounding box overlays, all streamed through a web browser.
This lightweight, database-free web application is ideal for commercial use, research, or educational demos that require a live AI-powered webcam feed. Its clean modular design makes it perfect for extending or integrating into larger AI systems.
⚙️ Available Features
✅ Real-time Face Detection via webcam
✅ Live Video Streaming to browser
✅ Dynamic Object Bounding Box Display
✅ Fully responsive Flask Web Interface
✅ Modular, cleanly separated backend logic
✅ No database required—lightweight and secure
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