I will build cctv computer vision analytics with detection tracking and alerts


Informazioni su questo servizio
Turn CCTV or video streams into measurable events, alerts, and operational data. I will build a custom computer-vision system for object detection, tracking, counting, zone monitoring, occupancy, safety, or activity analysis.
Possible capabilities include:
Detect and track people, vehicles, products, PPE, defects, or custom objects
Count entries, exits, dwell time, occupancy, and line crossings
Trigger alerts for restricted zones or defined events
Process recorded video, RTSP CCTV streams, cameras, or image uploads
Export events to dashboards, databases, APIs, email, or messaging tools
Optimize inference for GPU, edge device, server, or cloud deployment
I work with YOLO, PyTorch, OpenCV, tracking algorithms, Python APIs, and deployment tooling. Development starts with a measurable benchmark on representative footage so accuracy, speed, hardware limits, and false alerts are clear before scaling.
Message me with sample footage, camera count, target events, hardware, and expected accuracy or latency before ordering. Camera placement and data quality directly affect results.
Scopri di più su Ahsan I
FullStack AI Developer
- DaPakistan
- Membro dagen 2026
- Tempo di risposta medio2 ore
Lingue
Urdu, Pashtu, Inglese, Francese, Arabo
Il mio portfolio
FAQ
Can you guarantee perfect detection accuracy?
No. Accuracy depends on camera angle, lighting, resolution, object size, occlusion, and training data. I will benchmark representative footage and report precision, recall, speed, and failure cases.
Can this work with my existing CCTV cameras?
Usually yes if the cameras expose RTSP, ONVIF, recorded files, or another accessible stream. Send the camera model, stream details, resolution, FPS, camera count, and deployment hardware for confirmation.

