Computer Vision
Real-time object detection and face recognition using webcam with advanced AI models powered by TensorFlow.js and Google MediaPipe.
Real-time Object Detection
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Real-time Face Detection
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Powered by Google MediaPipe
This feature uses Google MediaPipe Face Detection running entirely in your browser. All processing happens locally - no video or images are sent to any server. Your privacy is fully protected.
About COCO-SSD Model
Model Details
COCO-SSD (Single Shot MultiBox Detection) is a pre-trained object detection model that can identify and locate 80 different object categories in real-time.
Detectable Objects
Features
- Real-time detection on modern devices
- Runs entirely in browser (no server required)
- Bounding box visualization with confidence scores
- Adjustable confidence threshold for filtering
Privacy
All processing happens locally in your browser. No video or images are sent to any server. Your camera feed is private and secure.
YOLO Object Detection
Server-SideUpload an image to detect objects using YOLOv8 - more accurate detection powered by our backend.
This uses YOLOv8 nano model running on our backend server for more accurate detection. Images are processed securely and not stored.
Technology Stack
TensorFlow.js
Machine learning library that runs in the browser, enabling real-time inference without server calls.
WebRTC & Canvas
Browser APIs for camera access and real-time graphics rendering for bounding box visualization.
React Hooks
Custom hooks for managing camera state, model loading, and detection lifecycle with performance optimization.
Performance
Real-time FPS monitoring, confidence threshold filtering, and optimized rendering for smooth detection.
YOLOv8 (Server-Side)
Advanced object detection using YOLOv8 on the backend for higher accuracy and more robust detection.
Face Detection (MediaPipe)
Real-time face detection powered by Google's MediaPipe running entirely in the browser with high performance and accuracy.