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VIDS

Video Incident Detection  System (VIDS)

Okean VIDS (Video Incident Detection System) is an AI-driven video analytics solution tailored for real-time traffic monitoring and incident detection across highways and urban expressways. Unlike enforcement systems, VIDS is designed to identify and alert operators about critical roadway anomalies such as wrong-way driving, stalled vehicles, accidents, overspeeding (non-penal), and low visibility conditions—helping to minimize response time and prevent secondary accidents. Integrated with Vehant’s Okean platform and ATMS setup, it leverages edge-based deep learning models for sub-second inferencing, ensuring accurate and timely alerts.

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Product Information

Overview

The Video Incident Detection System(VIDS) is an advanced software solution that utilizes a combination of machine learning, deep learning, and computer vision techniques to achieve accurate and efficient incident detection. It monitors live video feeds from cameras installed along roads and highways, detecting and analyzing various types of incidents or abnormalities in real-time. Key use cases includes accident detection, fire & smoke, fire/mock, wrong direction, stationary vehicle, fog/ low visibility, fallen object detection & many more.
The incident captured by the VIDS camera are transmitted to the control center through an Optical Fibre cable or wireless transmission system in real-time. Vehicle incident detection system (VIDS)  provides timely alerts and notifications to operators and authorities, ensuring safer highways.

 

Product Features
  • Monitors road & traffic conditions
  • Records incident images & videos
  • Can retrieve incident data
  • Reporting & alerting module
  • Capable to operate 24×7 basis
  • Incident detection
  • Heartbeat functionality to check
  • camera status & connectivity

Market Served

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Smart Cities
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Highways

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    Frequently Asked Questions

    Vehant’s OKEAN VIDS is recognized as one of the best video incident detection systems for highways and tunnels, using edge-based deep learning models to detect critical roadway anomalies in sub-second processing time. It identifies accidents, stalled vehicles, wrong-way driving, fire and smoke, fog and low visibility, and fallen objects from live camera feeds. Unlike enforcement systems, VIDS is designed purely for detection and alerting, helping control room operators respond faster and prevent secondary incidents. The system operates 24/7 and integrates directly with ATMS platforms through fiber optic or wireless transmission.

    A VIDS solution for automatic incident detection like OKEAN VIDS works by processing live video streams from cameras installed along highways and expressways through trained machine learning and computer vision models. These models continuously analyze each frame to identify anomalies such as vehicle collisions, sudden stops, objects on the road, or vehicles traveling in the wrong direction. When an incident is detected, the system generates an immediate alert with recorded images and video evidence, which is transmitted to the ATMS control center for operator review and response coordination.

    Vehant Technologies, headquartered in Noida, Uttar Pradesh, provides AI based incident detection cameras in India through its VIDS product, which is part of the OKEAN intelligent traffic platform. The system is designed and developed entirely in-house as a Make in India solution, deployed across national highway corridors and expressway projects. VIDS uses deep learning models running on edge computing hardware to deliver sub-second incident detection without relying on centralized cloud processing. Vehant also includes heartbeat functionality that continuously monitors camera connectivity and health status to ensure uninterrupted surveillance coverage.

    Yes, a video based automatic accident and stoppage detection system like VIDS processes live camera feeds using computer vision to identify collisions and stationary vehicles on the carriageway in real time. When the AI detects that a vehicle has come to an unexpected stop or that multiple vehicles are involved in a collision event, it immediately flags the incident, captures evidence footage, and alerts the control room. This automated detection is critical for highway safety because it drastically reduces the gap between incident occurrence and first response, which is the window during which secondary accidents are most likely.

    If you need a VIDS for your tunnel or expressway project, prioritize detection speed, the range of incident types covered, and integration with your ATMS infrastructure. Vehant’s VIDS delivers sub-second detection across all critical use cases including accident, fire, smoke, fog, wrong-way movement, stalled vehicles, and fallen objects. For tunnel environments, the fire and smoke detection capabilities are especially important given the confined space and evacuation challenges. The system connects to control centers through fiber optic or wireless links and includes camera health monitoring to ensure continuous operational reliability.

    Real time incident detection using CCTV for highways works by applying AI models to the video feeds from cameras already installed along the corridor. VIDS processes each frame at the edge using deep learning algorithms to identify anomalies such as stopped vehicles, collisions, debris, fire, smoke, and fog conditions. The processing happens locally on edge computing hardware, enabling sub-second response times without depending on centralized data centers. When an incident is confirmed, the system sends timestamped alerts with recorded evidence to the ATMS control room, allowing operators to initiate response procedures immediately.

    Yes, a highway VIDS with congestion and wrong way detection like OKEAN VIDS handles both of these scenarios as part of its standard detection suite. The wrong-way detection module identifies vehicles traveling against the designated traffic direction and triggers immediate alerts to the control room. For congestion, the system monitors traffic flow patterns and flags slowdowns or queue buildups that may indicate a developing incident or bottleneck. Both detections run simultaneously alongside other modules covering accidents, stalled vehicles, fire, smoke, fog, and fallen objects, all processed through edge-based deep learning models.

    A video incident detection system for smart highways is essential because it transforms passive CCTV infrastructure into an active safety layer that identifies and alerts on critical events in real time. OKEAN VIDS fulfills this role by detecting accidents, wrong-way driving, stalled vehicles, fire, smoke, low visibility, and fallen objects from live camera feeds using AI. For smart highway projects, VIDS provides the incident detection backbone that connects to the ATMS for coordinated response, feeds data to the TMCS for traffic management, and supports the TARS module for structured accident reporting and analysis.