Enterprise AI-Powered Surveillance & Camera Management Platform
A security technology company needed a comprehensive platform to discover, manage, and intelligently monitor hundreds of IP cameras across distributed locations with real-time AI-driven threat detection.
Discuss Your Project
The Challenge
Traditional surveillance systems were passive and required constant human monitoring:
- Manual camera discovery and configuration across large networks was time-consuming
- No automated threat detection capabilities (intruders, fire, loitering)
- Lack of centralized management for cameras across multiple locations
- No cross-platform accessibility (desktop, mobile, and web)
Our Solution
We built an enterprise-grade surveillance platform combining automated camera discovery, RTSP/HLS streaming, and GPU-accelerated AI analytics.
Architecture
- Desktop App: Python CLI/web UI for network camera discovery (SSDP, ONVIF, mDNS)
- Web Frontend: React + Vite with Supabase backend, Radix UI, Three.js visualization
- Mobile App: React Native/Expo for iOS/Android
- Stream API: FastAPI with MediaMTX integration for RTSP/HLS conversion
- AI Platform: YOLO11 + TensorRT + ByteTrack for real-time object detection
- Orchestrator: FastAPI service for dynamic streaming server management
Camera Discovery
- Multi-protocol scanning (SSDP, ONVIF WS-Discovery, mDNS/Bonjour)
- IP range scanning with CIDR support
- Manufacturer/model identification
- RTSP stream verification and validation
AI Detection Capabilities
- Person and vehicle detection (YOLO11 with TensorRT optimization)
- License plate recognition with OCR (EasyOCR)
- Fire and smoke detection
- Behavioral analytics: intrusion, loitering, occupancy counting, after-hours entry
- 10-12 concurrent streams on RTX 4000 Ada GPU
Key Features
- Automated Discovery - Find cameras on any network without manual configuration
- Real-Time AI - Sub-second detection with WebSocket-delivered alerts
- Multi-Platform - Desktop, web, and mobile clients
- Stream Orchestration - Auto-scaling MediaMTX containers with health monitoring
- Quality Control - Adjustable resolution (low to ultra) and FPS (1-60)
Results
Technology Stack
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