I will build a custom yolo object detection and video analytics system
Computer Vision Engineer
About this Gig
Looking for a custom computer vision system that can detect, track, count, or analyze objects in images and videos?
I am an AI Engineer with professional experience developing and deploying real-world computer vision and video analytics systems using Python, YOLO, OpenCV, PyTorch, and GPU-based inference.
I can help you build:
- Custom YOLO object detection models
- Object detection and tracking systems
- Real-time video analytics
- CCTV and camera-stream analysis
- Object counting and event detection
- Image and video processing pipelines
- Custom model training and fine-tuning
- GPU inference optimization
- AI model integration with backend applications
- Dockerized AI applications
- REST/API-ready computer vision pipelines
I have professional experience developing multi-stage video analytics systems for safety-critical applications, including object/event detection, GPU inference optimization, automated alert generation, and backend integration.
You will receive clean, structured source code and a solution designed around your actual use case rather than a generic AI demo.
Technologies I work with:
Python | YOLO | YOLOv8 | OpenCV | PyTorch | TensorFlow | Docker |
Programming language:
Python
•
SQL
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
•
Colab
•
PyTorch
Frameworks:
Scikit-learn
•
Keras
•
PyTorch
•
Panda
