Real-Time Object Detection
Project Information
| Project Detail | Information |
|---|---|
| Project Name | Real-Time Object Detection |
| Language Used | Python |
| Database | None |
| Type | Web Application |
| Developer |
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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 objectsspecifically faceswith 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 requiredlightweight and secure
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