Description

Key Objectivies

• Vehicle detection and classification from image and video sources

• License plate recognition (LPR) using AI-based computer vision

• Automatic detection and alerting of traffic violations, including:

  – Detection of red-light violations

  – Detection of lane marking violations

  – Detection of lane misuse or improper lane change

  – Detection of wrong-way driving

  – Detection of illegal parking or stopping

  – Detection of entry into restricted or prohibited zones

• Violation Management Support:

  – Enables authorized personnel to review, reject, or validate detected violations, and synchronize violation data with external systems.

  – Each violation record includes comprehensive evidence data: violation type, vehicle images, violation video clips, location, timestamp, and vehicle license plate number.

  – Provides open API/SDK interfaces for integration and data sharing with other software platforms and applications.

  – Supports bulk printing of violation notifications for enforcement purposes.

• Detection of license plates listed on watchlists or hotlists

• Support for data storage, retrieval, and statistical reporting on traffic violations

• The traffic monitoring and enforcement software system is an automated, 24/7 operational platform that enables continuous tracking and surveillance of vehicles through an integrated network of cameras.