I will build people counting, cctv video analytics opencv computer vision ai system
About this Gig
Looking for a professional People Counting or CCTV Video Analytics solution?
I develop intelligent Computer Vision systems using YOLO, OpenCV, Python, Deep Learning, and AI to analyze customer movement, occupancy, queues, and visitor traffic from CCTV or IP cameras in real time.
I can build
- Real-time people counting
- Entry and exit counting
- Customer flow analytics
- Occupancy monitoring
- Queue detection and waiting time analysis
- Heatmaps for visitor movement
- Multi-camera people tracking
- CCTV analytics dashboards and reports
Perfect for
Retail stores, supermarkets, shopping malls, airports, restaurants, warehouses, offices, gyms, and smart buildings.
You'll receive
- Python source code
- AI counting and tracking model
- Analytics dashboard
- Reports and database integration
- Documentation and deployment support
Every solution is customized for your cameras, building layout, and business analytics requirements. Contact me before ordering for multi-camera or enterprise deployments.
FAQ
Can it generate heatmaps and occupancy analytics?
Yes. The system can generate visitor heatmaps, occupancy levels, queue length analysis, peak hour reports, and customer movement insights.
Can it work with existing CCTV or IP cameras?
Yes. I can integrate the solution with RTSP IP cameras, CCTV systems, USB cameras, webcams, and recorded video footage.
Can the system count people entering and leaving a store?
Yes. It can accurately count entries and exits in real time and generate daily or hourly visitor reports.
