I will do real time object detection, tracking and video analytics using yolo


About this gig
I design and build real-time computer vision systems object detection, multi-object tracking, and visual search using YOLO, OpenCV, and modern detection architectures.
Recent work:
InsightVision offline AI surveillance platform combining zero-shot detection (Grounding DINO), segmentation (SAM3), and Kalman-filter tracking (BoT-SORT), running real-time on a single GPU.
Real-Time Fall Detection published paper (IEEE ICIC 2025), YOLOv11-based elderly safety monitoring.
CelebVision YOLOv11 + EfficientNetV2 pipeline, 1st place in a Computer Vision Kaggle competition.
What I can build for you:
Custom object detection models (fine-tuned YOLO or zero-shot, your classes)
Multi-object tracking across video feeds (ID-consistent, not just per-frame)
Real-time inference pipelines wrapped as an API (FastAPI)
Video analytics: counting, zone alerts, activity logging
Stack: Python, PyTorch, OpenCV, FastAPI. Clean, documented code you're not locked into me for every future tweak.
Message me with your dataset/use case before ordering so I can confirm scope and timeline.
Get to know Burhan Ahmed
Computer Vision and AI Engineer
- FromPakistan
- Member sinceSep 2026
- Avg. response time1 hour
Languages
English
FAQ
I don't have a labeled dataset — can you still help?
Yes, I can use a suitable public dataset for your use case, or apply zero-shot models (Grounding DINO/SAM3) that don't require labeled training data for many object classes.
Can this run in real time?
Yes, depending on your hardware/GPU and the model size we choose. I'll recommend the right speed-vs-accuracy trade-off once you share your use case.
Do you offer support after delivery?
The Premium package includes 7 days of post-delivery support; ongoing maintenance beyond that can be arranged separately.

