Project Overview
Built an intelligent tool that monitors vehicle speeds and detects speed limit violations using advanced video analysis. This system accurately tracks the speed of moving vehicles in real-time, automatically flagging any instances where vehicles exceed established speed limits—contributing to safer roads and more efficient traffic enforcement.

Technologies Used

• Computer Vision
• Deep Learning (Object Tracking and Speed Estimation)
• Real-Time Video Processing
• Python, OpenCV, TensorFlow

Key Features

• Real-time vehicle speed measurement
• Automated detection of speed limit violations
• Video evidence capture for every infraction
• Integration with existing CCTV and traffic camera systems

Use Cases

• Road safety enforcement and speed regulation
• Automated violation reporting for traffic authorities
• Data collection for accident prevention studies
• Smart city infrastructure and automated surveillance

Project Outcomes

• Improved speed compliance and reduced traffic accidents
• Faster, unbiased enforcement of speed limits
• Enhanced data for safety analytics and road planning
• Trustworthy video evidence for legal proceedings

Challenges Overcome

• Accurate speed tracking across different lane positions and camera angles
• Reliable violation detection in varying weather and lighting
• High performance in dense, fast-moving traffic

Client/Industry

• Traffic enforcement agencies
• Urban planning and smart city integrators
• Road safety solution providers

Our Role

• Complete solution delivery: algorithm development, model training, system integration, video analytics deployment, and ongoing technical support