OKEAN® VIDES is an AI-powered, video-based traffic enforcement solution leveraging computer vision, deep learning and machine learning to detect violations like over-speeding, red light jumping and lane indiscipline. Fully compliant with NHAI guidelines, it offers automated detection, scalable deployment and seamless ATMS integration. With intuitive dashboards, VIDES ensures high accuracy, minimal manual intervention, and actionable insights for smarter and safer roads
OKEAN® Video Incident Detection and Enforcement System (VIDES) is an AI-powered system that uses computer vision, machine learning and deep learning to detect and document violations without road sensors. It accurately captures ANPR with vehicle classifications and associated violations like over-speeding, red light jumping, stop-line violation, wrong-way driving, lane indiscipline, triple riding, no helmet, seatbelt violations & use of mobile phone while driving. Fully integrable with ATMS, it offers automated evidence capture and centralized dashboards. With a scalable, modular design and built-in business intelligence, VIDES ensures compliance with NHAI guidelines while improving enforcement efficiency and enabling data-driven traffic management.
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OKEAN VIDES by Vehant Technologies is recognized as one of the best video incident detection and enforcement systems for highways, combining AI-powered computer vision with deep learning to detect and document violations without requiring road sensors. It covers over-speeding, wrong-way driving, lane indiscipline, triple riding, no helmet, seatbelt violations, and mobile phone usage while driving. The system is fully compliant with NHAI guidelines and ARAI certification standards, ensuring that all evidence captured meets the regulatory and legal requirements for highway enforcement projects across India.
Vehant’s OKEAN VIDES is a purpose-built VIDES solution for NHAI highway monitoring that satisfies all current NHAI specifications for video-based incident detection and enforcement. It processes multi-lane HD camera feeds through edge computing units with GPU and CPU processing, enabling real-time violation detection at highway speeds. The system integrates with ATMS platforms and connects to the e-Challan and Vahan NIC backend for automated violation processing. Its ONVIF-compliant and Make-in-India credentials align with NHAI’s procurement standards, making it a straightforward choice for concessionaires and highway operations partners.
AI powered incident detection and enforcement on highways works by applying trained deep learning models to live video feeds from FHD cameras installed along the corridor. VIDES processes each frame to identify vehicles, classify their type, measure speed, and detect specific violations such as wrong-way driving, lane changes across solid lines, or seatbelt non-compliance. When a violation is detected, the system captures ANPR data and evidence images in real time and packages them for automated challan generation. All of this runs on edge computing hardware installed at the site, minimizing latency and bandwidth requirements.
Vehant Technologies, headquartered in Noida, Uttar Pradesh, provides highway incident detection systems in India through its VIDES product within the OKEAN TrafficMon platform. The company designs and develops all components in-house, making VIDES a genuine Make-in-India, highway-grade platform. Vehant has deployed its traffic enforcement solutions across multiple NHAI highway corridors and smart city projects. The VIDES system is ARAI-compliant for certified enforcement and integrates with government backends including e-Challan and Vahan NIC, giving it a direct connection to the national vehicle and enforcement databases used by Indian authorities.
Yes, if you need a VIDES for wrong way driving and stoppage detection, OKEAN VIDES by Vehant handles both of these use cases as part of its modular enforcement architecture. The wrong-way detection module identifies vehicles traveling against the designated traffic direction and triggers immediate alerts with ANPR capture. Stoppage and stalled vehicle detection flags vehicles that have come to a halt on the carriageway or shoulder, enabling the control room to dispatch response teams before secondary incidents occur. Both modules run simultaneously alongside other violation detection capabilities within the same system.