I will build ai people counting and foot traffic analytics using yolo


About this gig
Understand how people move through your space with custom AI foot-traffic analytics.
I will build a people-counting system using YOLO, OpenCV, and multi-object tracking for stores, offices, malls, and other indoor spaces.
Depending on your package, features include:
Person detection and tracking with unique IDs
IN/OUT counting across a defined entry and exit line
Live occupancy estimates
Custom monitoring zones
Automatic person blurring for privacy masking
Calibrated 2D top-view mapping
Annotated video and CSV analytics
Live RTSP camera integration, dashboard, and database logging
Occupancy threshold alerts
All packages cover one fixed camera view and include source code and setup instructions.
Accuracy and processing speed depend on camera placement, lighting, crowd density, and hardware. Occupancy requires an initial count and coverage of relevant entrances and exits.
Custom training, extra cameras, hardware, hosting, and paid licenses or services are separate.
Please contact me before ordering with sample footage and your requirements to confirm feasibility and scope.
Get to know SHAH FAISAL
Computer vision enginner and Deep learnng expert
- FromPakistan
- Member sinceSep 2026
- Avg. response time1 hour
Languages
English
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FAQ
What do you need to start?
Please provide sample footage, your required features, camera details, and computer specifications. Mark the entry and exit locations you want to monitor
Can you work with live CCTV or IP cameras?
Yes. Premium includes one compatible RTSP camera integration. Basic and Standard use recorded footage. Live processing performance depends on your hardware and network
How does occupancy counting work?
The system adds entries and subtracts exits from an initial occupancy count. Reliable estimates require coverage of relevant access points. Missed detections can cause drift, so a reset or reconciliation procedure may be needed.
What does privacy masking include?
The system can blur detected people in the displayed or exported video. Detection-based masking may miss people in difficult frames. Raw footage storage and access controls are agreed separately

