Computer Vision Developer | Detection, Tracking & AlertsAnas Saleem
I build production-ready computer vision systems that watch, detect, track, and alert — in real time, on your own camera feed.
At BytesGenX, I've shipped CV systems using YOLO11, OpenCV, ByteTrack, and custom-trained models — covering the full pipeline from raw webcam footage to a live dashboard with business logic.
What I deliver:
Real-time object detection on live camera or video feeds
Multi-object tracking with stable IDs across frames (ByteTrack)
Zone-based monitoring — define areas, track who enters, how long they stay
Dwell time tracking and automated alerts (e.g. table waiting too long)
Activity detection — drink serving, PPE compliance, crowd counting
Custom YOLO model training on your own environment and camera angle
Annotated live video dashboards with overlays, alerts, and state indicators
People counting, vehicle counting, entry/exit tracking
Stack: Python, YOLO11/v26, OpenCV, ByteTrack, Ultralytics, LabelImg, Flask, AWS EC2.
Every system is modular, documented, and built for your specific camera setup — not a generic demo.
FAQs
Starting at$40 /hr
Tags
OpenCV
Python
PyTorch
TensorFlow
Custom AI Model
Object Detection
Object Tracking
Real-Time Analytics
Surveillance System
Service provided by
Anas Saleem proMultan, Pakistan
- $1k+
- Earned
- 4
- Paid projects
- 5.00
- Rating
- 39
- Followers
Computer Vision Developer | Detection, Tracking & AlertsAnas Saleem
Starting at$40 /hr
Tags
OpenCV
Python
PyTorch
TensorFlow
Custom AI Model
Object Detection
Object Tracking
Real-Time Analytics
Surveillance System
I build production-ready computer vision systems that watch, detect, track, and alert — in real time, on your own camera feed.
At BytesGenX, I've shipped CV systems using YOLO11, OpenCV, ByteTrack, and custom-trained models — covering the full pipeline from raw webcam footage to a live dashboard with business logic.
What I deliver:
Real-time object detection on live camera or video feeds
Multi-object tracking with stable IDs across frames (ByteTrack)
Zone-based monitoring — define areas, track who enters, how long they stay
Dwell time tracking and automated alerts (e.g. table waiting too long)
Activity detection — drink serving, PPE compliance, crowd counting
Custom YOLO model training on your own environment and camera angle
Annotated live video dashboards with overlays, alerts, and state indicators
People counting, vehicle counting, entry/exit tracking
Stack: Python, YOLO11/v26, OpenCV, ByteTrack, Ultralytics, LabelImg, Flask, AWS EC2.
Every system is modular, documented, and built for your specific camera setup — not a generic demo.
FAQs
$40 /hr