I will build real time traffic analytics with vehicle tracking and counting

C
clemsonjimmy
C
clemsonjimmy
Clemson

About this gig

Need to turn live camera feeds into useful real-time information?

I develop AI-powered video analytics systems that process live streams and automatically understand vehicles, pedestrians, movement, lanes, and activities with fast, reliable results.


What I can offer

  • Real-time vehicle detection
  • Multi-object tracking
  • Vehicle and people counting
  • Lane detection
  • Movement and direction analysis
  • Speed estimation
  • Pedestrian analysis
  • Pose estimation
  • Object segmentation
  • Real-time event detection
  • Live analytics
  • Custom computer vision pipelines


Computer Vision Features

  • Bounding-box detection
  • Tracking IDs and movement paths
  • Virtual counting lines
  • Lane identification
  • Human pose estimation
  • Object segmentation
  • Activity recognition
  • Density analysis
  • Live FPS monitoring
  • Real-time alerts


My solutions can be customized for roads, intersections, highways, parking areas, transportation systems, logistics facilities, smart-city projects, and private properties.


What You'll Receive

  • Real-time video processing
  • Custom detection and tracking
  • Live analytics based on your requirements
  • Performance optimization
  • Testing with your sample footage
  • Clean implementation
  • Setup and integration guidance


Get to know Clemson

Clemson

Real Time Video Analytics Developer

  • FromUnited States
  • Member sinceAug 2026
  • Languages

    English
I develop real-time video analytics solutions for monitoring, detection, tracking, and automated video analysis. I build efficient systems using Python, OpenCV, YOLO, PyTorch, and TensorFlow for live camera and video applications.