I will build a real time object detection and tracking system with yolov8
I build AI chatbots, computer vision and ML systems that run in production
About this Gig
Need a computer vision system that works on real footage, not just in a demo? I build real time object detection and tracking pipelines with YOLOv8, OpenCV and ByteTrack, deployed behind a FastAPI service you can plug into your own dashboard or app.
A similar system I built runs live across 50 concurrent RTSP camera streams at around 40 FPS with 88% detection accuracy on construction sites in Saudi Arabia and Bahrain.
What I can build for you:
Person, helmet, vest and custom object detection
Multi object tracking across frames
Zone intrusion and fall detection
RTSP, IP camera, webcam and video file input
Alerts, logging and REST API output
GPU optimized inference with CUDA
What you receive:
Trained model and inference code
Clear documentation and setup guide
A working demo on your footage
Support after delivery
Message me your use case and a short sample of your footage before ordering so I can confirm scope.
Programming language:
Python
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
APIs:
Other
Tools:
OpenCV
•
SimpleCV
My Portfolio
FAQ
Do you work with existing CCTV cameras?
Yes. I work with any IP camera, webcam, RTSP stream, or recorded video footage. Share your camera model or stream URL and I'll confirm compatibility before we start.
Can you detect custom objects beyond PPE?
Yes. I can train or fine-tune YOLO models on custom datasets for any object class. Share your use case and I'll advise on data requirements.
What if I don't have a GPU server?
I can optimize inference for CPU environments or advise on affordable GPU hosting options. The Basic package runs on standard hardware.

