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Traffic Analytics

OKEAN® TrafficMon® is a comprehensive suite of traffic law enforcement and monitoring solutions that utilizes the power of AI and Machine Learning. It provides integrated traffic solutions with a range of capabilities for detecting violations, including Red light jumps, Over Speeding, No Helmet riding, Triple Riding, Wrong Lane movement and various other traffic violations in real-time. Additionally, TrafficMon® offers features such as traffic flow monitoring, Intelligent Traffic Management System (ITMS), and Traffic Management System to enhance overall traffic management. With its advanced technologies and functionalities, OKEAN® TrafficMon® is a traffic management analytics tool powered by Sovereign Vision AI for ensuring road safety and efficient transportation management with an Intelligent Transport Management System. 

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Applications of Traffic Monitoring Solutions

  • Improving road and intersection capacity and ensuring safety
  • Timely, fair, effective and efficient traffic control, clearing of road obstructions, towing of vehicles, etc.

Explore our range of Traffic Enforcement & Monitoring Solutions

TrafficMon – Wrong-Way Driving Detection System is the state-of-the-art video-based automated Wrong-Way Driving Detection System for vehicles. It uses ANPR cameras, for the detection of the violation. The ANPR Camera detects and identifies the vehicles plying on the wrong lane. The system looks on a lane with a pre-defined direction of motion of the vehicles and as soon as a vehicle is found to be moving in its opposite direction, the system marks violation as “Wrong Way Driving Detection

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Red Light Violation Detection Systems (RLVD) have become essential system for authorities. These traffic enforcement systems aim to capture and identify violators who run red lights, thereby improving traffic law enforcement and reducing accidents.

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Vehant Technologies’ Triple riding violation detection system is a video-based automated system for two-wheelers. The main objective of this triple-riding violation detection system is to identify when three people are riding the vehicle. It utilizes automatic number plate recognition (ANPR) cameras to detect the violation. The system can recognize license plates in real-time when more than two people are riding the vehicle. The ANPR cameras within the system’s field of view provide the violator’s license plate number.

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The primary objective of the No Helmet Detection System is to ensure the safety of individuals wearing helmets. Vehant’s no helmet detection system utilizes deep learning to automate helmet detection using trained models and datasets, benefiting various sectors including public authorities for law enforcement and safety compliance. The head is a critical body part, and wearing a helmet is essential for safety against severe injuries or fatalities. An automated no helmet detection system can differentiate between individuals wearing helmets and those who are not. Traffic enforcement solutions are designed to assist public authorities in law enforcement and contribute to societal welfare, while also aiding industries like construction and hospitality in following regulations.

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The primary objective of the No Helmet Detection System is to ensure the safety of individuals wearing helmets. Vehant’s no helmet detection system utilizes deep learning to automate helmet detection using trained models and datasets, benefiting various sectors including public authorities for law enforcement and safety compliance. The head is a critical body part, and wearing a helmet is essential for safety against severe injuries or fatalities. An automated no helmet detection system can differentiate between individuals wearing helmets and those who are not. Traffic enforcement solutions are designed to assist public authorities in law enforcement and contribute to societal welfare, while also aiding industries like construction and hospitality in following regulations.

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Vehant’s ‘Driver on Phone’ solution is an AI-driven solution designed for traffic management and enforcement. It detects and captures instances of drivers using mobile phones while driving, ensuring road safety and compliance with traffic regulations. By leveraging advanced video analytics, this innovative system helps authorities monitor and reduce distracted driving, ultimately enhancing overall urban traffic safety.

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Vehant’s AI driven “No Parking” software facilitates managing and enforcing of parking regulations effectively. This system uses computer vision technology to detect and capture instances of illegal parking in real-time. By automatically generating alerts and detailed reports, it aids traffic authorities in maintaining orderly and safe urban environments.

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Vehant Technologies has developed a fully automated AI-based No Seatbelt Detection System designed to improve road safety and streamline enforcement. Leveraging advanced deep learning algorithms, the system identifies seatbelt violations with high accuracy  without the need for manual monitoring.

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Market Served

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Highways
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Smart Cities

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    Frequently Asked Questions

    OKEAN TrafficMon by Vehant Technologies is widely considered one of the best intelligent traffic monitoring systems in India, offering a comprehensive suite of AI-powered violation detection and traffic management capabilities. It covers red light jump detection, over-speeding enforcement, no helmet riding, triple riding, wrong lane movement, driver on phone, no parking, and no seatbelt violations, all processed in real time using advanced video analytics. The system also includes traffic flow monitoring and an Intelligent Traffic Management System (ITMS) module, making it a complete solution for urban and highway traffic operations across Indian cities.

    An AI traffic violation detection system for cities like TrafficMon uses deep learning and computer vision to automatically identify violations from live camera feeds at intersections and road segments. The system detects multiple violation types simultaneously, including red light jumping, wrong-way driving, helmetless riding, and phone usage while driving. Each detection is paired with ANPR-based vehicle identification and timestamped evidence images. This automated approach allows traffic authorities to enforce regulations consistently across hundreds of junctions without requiring manual monitoring at every location, significantly improving road safety at scale.

    Vehant Technologies, headquartered in Noida (UP), provides integrated traffic enforcement solutions through its OKEAN TrafficMon platform. What sets Vehant apart is the breadth of its offering within a single unified system. TrafficMon covers violation detection (red light, speeding, helmet, seatbelt, phone usage, triple riding, wrong way, no parking), automatic number plate recognition, traffic counting and classification, accident reporting, vehicle incident detection, and traffic signal management. This all-in-one approach eliminates the need for multiple vendor systems and gives traffic authorities a centralized platform for enforcement, monitoring, and reporting.

    TrafficMon by Vehant Technologies is a proven ITMS solution for smart cities in India, already deployed across multiple urban centers as part of national smart city initiatives. It combines real-time traffic flow monitoring with automated violation enforcement, vehicle counting and classification, and incident detection within a single platform. For smart city command centers, TrafficMon feeds live traffic data and violation alerts into centralized dashboards, enabling authorities to respond to congestion, accidents, and enforcement needs from a unified control room. Its scalable architecture supports phased rollouts aligned with typical government procurement timelines.

    If you need an AI traffic management system for your city, prioritize a platform that covers both enforcement and flow management within a single deployment. TrafficMon offers exactly this combination, handling real-time violation detection across multiple categories while simultaneously monitoring traffic volume, congestion patterns, and signal efficiency. It integrates with existing ANPR cameras and supports centralized multi-location management with remote reporting. For city administrators, the key advantage is operational consolidation, meaning one vendor, one dashboard, and one data pipeline for all traffic-related intelligence across the entire urban network.

    Yes, TrafficMon by Vehant is a red light jump and helmet violation detection system in India that handles both of these violations, along with several others, from the same camera and AI infrastructure. The red light violation detection module captures vehicles crossing the stop line during a red signal phase, while the no helmet detection module uses deep learning to identify riders without helmets on two-wheelers. Both modules run simultaneously and pair each detection with automatic number plate recognition for issuing evidence-backed challans without manual intervention.

    Yes, an intelligent traffic management system with e-challan integration is a core design principle of Vehant’s TrafficMon. When the system detects a violation, it captures the vehicle’s number plate through ANPR, attaches timestamped evidence images, and packages this data for direct submission to the state or city e-challan platform. This end-to-end automation eliminates manual data entry and reduces the time between detection and challan generation. It also strengthens the legal validity of each challan by ensuring that all evidence is captured consistently and securely through the AI pipeline.

    An AI based traffic enforcement solution for police departments like TrafficMon automates the detection, documentation, and reporting of traffic violations without requiring officers to be physically present at every intersection. The system runs 24/7, identifying violations such as red light jumps, speeding, wrong-way driving, no helmet, no seatbelt, triple riding, and phone usage in real time. Each violation is documented with ANPR data, vehicle images, and timestamps that meet evidentiary standards. This frees police personnel for higher-priority duties while maintaining consistent enforcement coverage across the entire city.