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English
$
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I will create real time car detection tracking and vehicle counting for alerts system
About this Gig
Do you need to know how many vehicles enter, leave, pass through, or use a specific area without having someone manually count them?
I will build custom real time vehicle detection, car crash and counting systems that turn CCTV or video into measurable traffic data.
The system can be designed around roads, entrances, parking facilities, checkpoints, gates, intersections, or other camera based environments.
What I will do:
- Detect vehicles in your video stream
- Identify vehicle classes where required
- Define virtual counting lines or regions
- Count vehicles crossing specified areas
- Support directional counting such as entry versus exit
- Reduce duplicate counts through tracking logic
- Process recorded video or compatible live streams
- Car Crash
What I will solve:
Manual traffic counting, unreliable estimates, lack of vehicle flow data, difficulty measuring entrance/exit activity, and the need to convert CCTV footage into usable numbers.
What this can improve:
Traffic measurement, parking analysis, occupancy monitoring, operational reporting, facility planning, and automated data collection.
Message me and Provide sample footage and explain what you want counted
Other Data Science & ML Services I Offer
FAQ
Can you count vehicles entering and leaving separately?
Yes. I can implement directional counting using virtual lines, zones, or other tracking logic appropriate for the camera view.
Can you count different vehicle types separately?
Yes. Where the footage supports reliable classification, cars, trucks, buses, motorcycles, vans, and other categories can be counted independently.
Can the system count from a live CCTV stream?
Yes, provided the camera or recorder exposes a compatible stream such as RTSP or another supported input.
Can you prevent the same vehicle from being counted multiple times?
Yes. Tracking logic can be used to maintain object identity while vehicles move through the counting region and reduce duplicate counts.
What affects counting accuracy?
Camera angle, resolution, lighting, occlusion, traffic density, field of view, vehicle overlap, and the placement of the counting region all matter. I evaluate these factors before deciding on the implementation.
