I will build a custom ai car crash detection and tracking system for rtsp

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Über diesen Service

Need AI to detect possible road or vehicle crash events from a live RTSP camera stream? I build custom computer vision systems that analyze CCTV/IP feeds, identify defined crash-related patterns, and track the vehicles involved.


The solution can ingest an RTSP stream, detect vehicles, track movement, analyze trajectories and interactions, and apply rules or a trained model to identify events that match your requirements. Depending on the project, I can add timestamps, snapshots, clips, alerts, logs, and a review interface.


Every camera environment is different. Camera angle, height, lighting, traffic density, frame rate, and the meaning of a crash affect the correct approach. I therefore build the pipeline around your footage and business rules instead of offering a one-size-fits-all script.


I work with Python, OpenCV, YOLO, object tracking, FastAPI, Docker, CUDA, ONNX, and custom computer vision models.



Before ordering, send a sample video or RTSP feed, camera position, examples of the event you want detected, alert method, and target hardware. I will scope the appropriate detection and tracking approach.

Lerne Bin kennen

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Computer Vision Developer, and Real Time Video Analytics

  • AusGroßbritannien
  • Mitglied seitAug. 2025
  • ⌀ Antwortzeit1 Stunde
  • Sprachen

    Deutsch, Englisch, Spanisch
I’m a Computer Vision developer specializing in AI-powered CCTV and real-time video analytics. I build custom solutions for RTSP/IP cameras, including object detection, tracking, people and vehicle analytics, event detection, and intelligent surveillance systems. Using Python, OpenCV, YOLO, and modern deployment technologies, I turn live camera feeds into practical, reliable solutions tailored to your workflow. From proof of concept to production deployment, I focus on solving the actual problem and delivering systems you can use.