I will a vehicle detection, tracking and counting system with yolo
About this Gig
Need to know how many vehicles pass through a road, junction or parking entrance? I will build a computer vision system that does it automatically from your video.
WHAT I DO
- Detect cars, buses, trucks and motorcycles in your video using YOLO
- Track every vehicle with a unique ID
- Count vehicles crossing a virtual line (IN / OUT) with per-class totals
- Deliver an annotated video with boxes, IDs and live counts
WHAT I NEED FROM YOU
- Your video (fixed camera, clear view of the road works best)
- What you want counted and where the counting line should be
HOW IT WORKS
- Send me your video and requirements
- I process it and share a preview
- You review, I refine, then I deliver the final files
Accuracy depends on video quality, camera angle and lighting. I will tell you honestly what to expect before I start.
Not sure if your video is suitable? Message me before ordering and I will check it for free.
Programming language:
Python
•
MATLAB
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SQL
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Colab
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MLflow
APIs:
Microsoft Computer Vision AI
Tools:
Jupyter Notebook
•
OpenCV
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OpenNN
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TensorFlow
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MLflow
•
SimpleCV
Frameworks:
Scikit-learn
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DeepPy
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Keras
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PyTorch
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Panda
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TensorFlow
FAQ
Which vehicles can be detected?
Cars, buses, trucks and motorcycles. Other classes can be discussed before ordering.
: Can it work in real time on a live camera?
This gig covers processing recorded videos. For live camera or custom needs, message me first.
Will the counts be 100% accurate?
system is perfect. Results depend on camera angle, lighting and traffic density. I will test on your footage and share a preview so you see the quality before final delivery.
: Do I get the code?
Source code is included in the Premium package.

