Computer Vision System: Real-Time Detection & MonitoringTalha Dilshad
Turn your camera feeds into an automated system that detects, counts and alerts in real time. Ideal for safety monitoring, quality control, inventory counting and security.
I've deployed a production YOLOv11 system that monitors 10,000+ gas drums on a live production line for leaks, and trained detection/segmentation models (YOLO, UNet, SegNet) on a custom 48,000+ object dataset.
What you get
A custom object-detection model trained on your images or video (YOLOv11 or similar)
Real-time processing of live camera / CCTV feeds or uploaded videos
A simple monitoring dashboard (Streamlit) with alerts and history stored in a database
Flask API so the model can connect to your existing systems
Dockerized deployment plus a short handover guide
Great for
Workplace safety (PPE, leaks, smoke), defect detection, people/vehicle/product counting, shelf monitoring and environmental monitoring.
How it works
Share sample images/videos and what you need detected
I train and test a first model and share accuracy results
Refine, build the dashboard and deploy
Not sure if your idea is possible? Message me and I'll assess it for free.
Example work
Starting at$500
Duration3 weeks
Tags
AI Engineer
ML Engineer
Service provided by
Talha Dilshad Lahore, Pakistan
Computer Vision System: Real-Time Detection & MonitoringTalha Dilshad
Starting at$500
Duration3 weeks
Tags
AI Engineer
ML Engineer
Turn your camera feeds into an automated system that detects, counts and alerts in real time. Ideal for safety monitoring, quality control, inventory counting and security.
I've deployed a production YOLOv11 system that monitors 10,000+ gas drums on a live production line for leaks, and trained detection/segmentation models (YOLO, UNet, SegNet) on a custom 48,000+ object dataset.
What you get
A custom object-detection model trained on your images or video (YOLOv11 or similar)
Real-time processing of live camera / CCTV feeds or uploaded videos
A simple monitoring dashboard (Streamlit) with alerts and history stored in a database
Flask API so the model can connect to your existing systems
Dockerized deployment plus a short handover guide
Great for
Workplace safety (PPE, leaks, smoke), defect detection, people/vehicle/product counting, shelf monitoring and environmental monitoring.
How it works
Share sample images/videos and what you need detected
I train and test a first model and share accuracy results
Refine, build the dashboard and deploy
Not sure if your idea is possible? Message me and I'll assess it for free.
Example work
$500