Video Analytics · Platform
Video Analytics SDK
Connect your cameras. Pick your analytics. Go live.
The rubythalib.ai Video Analytics SDK is a Computer Vision SDK for real-time people counting, vehicle detection, and anomaly detection. API-ready and easy to integrate with existing CCTV systems without replacing hardware.
Capabilities
Camera Integration
Connect IP cameras via RTSP, HTTP, or local streams.
AI-Powered Detection
State-of-the-art YOLO models, GPU-optimized for real-time inference.
Real-Time Streaming
WebRTC & MJPEG with live detection overlays on every frame.
REST API First
Integrate with any system, dashboard, or third-party app.
Evidence & Compliance
Auto-captured frames and audit-ready reports for every event.
Edge or Cloud
Deploy on-premise or in the cloud, on your infrastructure and your rules.
Analytics Library
- Intrusion Detection
- Speed Violation Detection
- PPE/HSE Compliance
- Crowd Density Monitoring
- Vehicle Counting & Classification
- People Counting
- Loitering Detection
- Restricted Zone Monitoring
- Traffic Flow Analysis
- Parking Occupancy Detection
- Smoke & Fire Detection
- Object Left Behind Detection
- License Plate Recognition
- Face Recognition & Attendance
- Uniform/Outfit Compliance
- Fall Detection
- Queue Length Monitoring
- Wrong-Way Detection
- Tailgating Detection
- Vehicle-Person Proximity Alert
Key Features
- IP camera integration via RTSP, HTTP, or local streams
- Real-time AI detection with GPU-optimized YOLO models
- WebRTC & MJPEG streaming with detection overlays
- REST API to integrate with any system, dashboard, or app
- Auto-captured evidence frames and audit-ready reports for every event
- On-premise (edge) or cloud deployment
Each use case can be rolled out in phases and adapted to your existing infrastructure.