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

E
engrahsaninam
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engrahsaninam
Ahsan I
Alcune informazioni sono riportate in lingua inglese.

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.

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Ahsan I

FullStack AI Developer

  • DaPakistan
  • Membro dagen 2026
  • Tempo di risposta medio2 ore
  • Lingue

    Urdu, Pashtu, Inglese, Francese, Arabo
I’m Ahsan Inam, a hands-on Fullstack AI Developer. I design and build production-ready AI systems using Python and modern machine learning frameworks. I’ve personally executed end-to-end projects across AI agents, automation workflows, computer vision, voice-based systems, and OCR-driven document processing. I focus on fast prototyping, clear communication, and delivering reliable solutions that solve real business problems. Portfolio: https://www.xsol.ai/portfolio GitHub: https://github.com/engrahsaninam

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