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

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shahfaisal80678
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shahfaisal80678
SHAH FAISAL

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

SHAH FAISAL

Computer vision enginner and Deep learnng expert

  • FromPakistan
  • Member sinceSep 2026
  • Avg. response time1 hour
  • Languages

    English
I am a Computer Vision Engineer at NeuViTechnology and a Computer Science graduate from Iqra University (2022). I specialize in deep learning, object detection, segmentation, tracking, pose estimation, behavior analysis, and Vision-Language Models. My work spans research, dataset development, model training, optimization, and real-time deployment across surveillance, retail, traffic, and medical imaging. I bridge AI research and production engineering to build accurate, efficient, and scalable systems that solve real-world problems.

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