AI-powered red light violation detection software that identifies red light jumps and stop line violations in real-time, enabling automated enforcement across traffic junctions, corridors, and smart city networks.
Key Features
Detect red light jump events instantly using AI video analytics, capturing each violation with timestamped evidence for accurate enforcement.
Identify vehicles that cross the stop line after the signal turns red, enabling accurate enforcement and clear, verifiable evidence.
Capture high-quality images and video clips of every violation, providing authorities legally ready proof without manual monitoring.
Integrate violation data with NIC, VAHAN, and e-challan workflows to automate penalty issuance and reduce processing time.
Recognize signal violation accurately with computer vision, even in dense traffic, low light environments, and mixed vehicle conditions.
Deploy RLVD software on current CCTV, NVR, and VMS infrastructure, eliminating costly hardware replacement across junctions.
Advanced Red Light Violation Detection with AI-Driven Insights
Intelligent Enforcement Section
Strengthen junction safety with accurate detection, automated evidence capture, and data-driven enforcement.
Intozi’s red light violation detection system combines computer vision and AI to detect signal violations at scale. The platform expands across junctions, corridors, and cities, supporting intelligent traffic management systems and smart traffic solutions.
Gain complete visibility into junction activity with real-time monitoring. The system continuously tracks vehicle movement against signal states, helping authorities detect violations early and improve intersection safety.
Designed for real-world roads, this AI red light violation detection system performs accurately across dense traffic, varying light conditions, and unpredictable driving patterns. Powered by deep learning, it delivers consistent, dependable enforcement without interruptions.
Understand exactly when and where violations occur with precise stop line analysis. This supports fair enforcement and provides clear evidence for every flagged event.
Transform enforcement data into actionable insights. Interactive dashboards highlight high-violation junctions and time-based trends, making it easier to plan targeted safety interventions.
Identify unusual junction behaviour such as wrong-way entry, signal jumping, and other anomalies in real time. Early detection improves response times and strengthens overall road safety
Red Light Violation Detection – How Does It Work?
Capture live video from existing CCTV at the junction
Detect and classify vehicles using AI models
Read the live signal state and stop line position
Identify red light jumps and stop line violations
Capture timestamped image and video evidence
Generate real-time alerts and e-challan-ready records
Where Red Light Violation Detection Adds Value
Enforce signal compliance and reduce collision risks at busy city junctions
Enable centralized violation monitoring and real-time enforcement decisions.
Detect violations at high-speed crossings to prevent serious accidents.
Improve safety in sensitive areas by enabling automated enforcement of red light jumping.
Manage high-traffic junctions and maintain orderly vehicle movement.
Support signal enforcement and improve compliance at controlled-access crossings.
Strengthen safety at critical stop-line-controlled crossings.
Support long-term junction planning and optimization with reliable violation data.
Key Benefits of Red Light Violation Detection
Deter red light jumping to lower collision risk at intersections.
Reduce manual effort with AI detection and automated e-challan processing.
Notify control centres instantly for quick response to violations.
Issue accurate challans backed by clear video and image evidence.
Lower enforcement costs by running on existing CCTV infrastructure.
Identify high-risk junctions and enable targeted safety improvements using violation analytics.
Frequently Asked Questions (FAQs)
Red light violation detection is an AI-powered system that uses video analytics to identify vehicles that jump red lights or cross the stop line after the signal turns red. By processing live CCTV feeds, RLVD software detects each violation in real time, captures timestamped image and video evidence, and shares it with traffic authorities for automated, evidence-based enforcement.
An RLVD system uses computer vision to read the live signal state and track vehicle position relative to the stop line. When a vehicle crosses during a red signal, the system flags it as a red light jump or stop line violation, records the event with full vehicle details, and generates an enforcement-ready record. This removes manual monitoring and ensures consistent detection across junctions.
Yes. Intozi’s red light violation detection software integrates with existing CCTV, NVR, and VMS infrastructure, so there is no need for costly hardware replacement. The AI models run on current video feeds, making deployment faster, more cost-effective, and easy to scale across multiple junctions and cities.
By continuously detecting red light jumps and stop line violations continuously, RLVD helps deter unsafe driving and reduce collisions at intersections. Automated alerts and e-challan integration enable stricter, round-the-clock enforcement, which gradually improves driver behaviour and produces measurable reductions in accidents.
Ikshana is Intozi’s unified video analytics platform that powers red light violation detection alongside other traffic and safety modules. It runs AI models on existing CCTV feeds to detect violations, manage alerts, and deliver enforcement-ready evidence through a single dashboard. Its modular architecture enables authorities to scale RLVD across junctions and integrated it with ANPR, speed detection, and incident detection in one system.
