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Traffic Enforcement Solution

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Traffic Enforcement Overview

1

AI-Powered Violation Detection

Real-time identification of traffic rule breaches using advanced analytics.

2

Automated Enforcement

Generates e-challans with minimal human intervention.

3

Centralized Monitoring

Unified command center for city-wide oversight.

4

Enhanced Road Safety

Reduces violations through transparent and accurate enforcement.

5

Data-Driven Insights

Analytics for traffic planning and safety improvements.

What is a Traffic Enforcement Solution?

An AI-driven surveillance and analytics platform that automatically identifies traffic violations using smart cameras and deep-learning algorithms, enabling automated challan generation and centralized monitoring. The system minimizes manual intervention while improving transparency and enforcement accuracy.

Core Components

AI-Enabled Traffic Surveillance Cameras

High-resolution cameras with real-time video analytics.

Automatic Number Plate Recognition (ANPR)

Accurate vehicle identification and tracking.

Helmet Detection Engine

Detects helmet compliance for rider and pillion.

Triple Riding Detection Module

Identifies more than two riders on two-wheelers.

Rider Behaviour Analysis Engine

Detects rash driving, lane changes, and unsafe patterns.

Central Command & Control Center

Unified dashboard for live monitoring and control.

E-Challan Integration System

Automated violation processing and fine issuance.

Real-Time Analytics Dashboard

Visual insights into violations and traffic patterns.

Deployment and Customization

City-Wide Junction Deployment

Strategic camera placement at key intersections.

Highway & Urban Integration

Adaptable to highways, expressways, and city roads.

Database Integration

Links with police and transport department systems.

Custom Violation Rules

Configurable rules for local traffic regulations.

Scalable Expansion

Easy rollout across districts and states.

Features

Triple Riding Detection

Automatically captures violations with evidence and location.

Helmet Detection

Identifies non-compliance for rider and pillion.

Rider Behaviour Analysis

Flags rash driving, sudden maneuvers, and unsafe behavior.

Automated Enforcement

Real-time capture, ANPR identification, and challan generation.

Key Implementation

Key Implementation Phases

  • Strategic AI camera installation at junctions and highways
  • Backend integration with traffic enforcement systems
  • Control room setup for centralized monitoring
  • AI model calibration for local traffic patterns
  • Continuous monitoring and system optimization

Industry-Specific Modules

Smart City Projects

Integrated urban traffic management.

Traffic Police Departments

Tools for law enforcement teams.

State Transport Authorities

State-level violation and compliance tracking.

Highway Management Authorities

High-speed corridor monitoring.

Benefits

Improved Road Safety

Higher compliance through visible enforcement.

Reduction in Violations

Automated detection discourages rule-breaking.

Transparent Enforcement

Digital evidence and automated processes.

Reduced Manual Workload

Frees up police resources for other duties.

Data-Driven Planning

Insights for better traffic management.