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 for ensuring road safety and efficient transportation management with an Intelligent Transport Management System.
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
Request BrochureRed 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.
Request BrochureVehant 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.
Request BrochureThe 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. Vehant’s No Helmet Detection system is designed to assist public authorities in law enforcement and contribute to societal welfare, while also aiding industries like construction and hospitality in following regulations.
Request BrochureThe 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. Vehant’s No Helmet Detection system is designed to assist public authorities in law enforcement and contribute to societal welfare, while also aiding industries like construction and hospitality in following regulations.
Request BrochureVehant’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.
Request BrochureVehant’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.
Request BrochureVehant 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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