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Road Authorities and Traffic Management Centers

Video analytics for photo and video enforcement systems and ITS

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Video analytics for intelligent transportation systems can be used in products by vendors of traffic violation photo-video enforcement systems and ITS video detectors. The algorithms provide high accuracy with minimal resource consumption.


License Plate Recognition

License plate reading in challenging weather conditions

The algorithm recognizes license plates in images and video streams, supports plates from more than 38 countries, and can be used in traffic enforcement systems, traffic video detectors, and intelligent transportation systems. Low computational requirements enable processing on edge devices.

What does the system provide:

  • Real-time license plate recognition, including in low-light, fog, and snow conditions.
  • Support for license plates from more than 38 countries.
  • Reliable recognition in challenging conditions and fewer false positives.

Vehicle Classification

Vehicle type, make, and model identification

The system automatically classifies vehicles by type, including passenger cars, trucks, buses, motorcycles, and special-purpose vehicles. The algorithm recognizes more than 300 vehicle makes and models and can be used to analyze traffic composition, monitor road traffic, and process data in traffic enforcement systems and ITS platforms.

What does the system provide:

  • Vehicle classification by type, make, and model.
  • Recognition of more than 300 vehicle makes and models with accuracy of up to 95%.
  • Traffic composition analysis and data transfer to traffic enforcement systems and ITS platforms.

Emergency Vehicle

Identification of special-purpose vehicle types and license plate attributes

The system recognizes ambulances, fire engines, police vehicles, military vehicles, and other special-purpose vehicles using license plate type and color, body shape, and visual markings. The algorithm can be used in traffic enforcement systems and ITS platforms to process events correctly, monitor the movement of special-purpose vehicles, and provide priority at signal-controlled road sections.

What does the system provide:

  • Real-time recognition of special-purpose vehicles in traffic flows.
  • Vehicle category identification using license plate attributes, markings, and visual features.
  • Data transfer to traffic enforcement, road traffic monitoring, and traffic signal control systems.

Vehicle Counting

Real-time traffic flow analysis

The system counts vehicles in video streams in real time, detects congestion, and analyzes traffic intensity. The algorithm determines direction of travel, average speed, and traffic flow density. The data is transmitted to traffic management systems.

What does the system provide:

  • Vehicle counting with 98%+ accuracy.
  • Monitoring of traffic intensity, speed, and direction.
  • Detection of congestion and changes in traffic flow density.
  • Data transfer to ITS platforms and traffic signal control systems.

Driver Violation Monitoring

Driver detection and mobile phone use identification

The system detects the driver’s face inside a moving vehicle and identifies mobile phone use while driving to help detect specific traffic violations, provided that the image quality and camera angle are suitable.

What does the system provide:

  • Driver detection inside a moving vehicle.
  • Identification of mobile phone use while driving.
  • Event transfer to a traffic enforcement system for further review.

Pedestrian Detection

Crosswalk and hazardous road situation monitoring

The system detects pedestrians on the roadway and at pedestrian crossings and determines their position and direction of movement. The algorithm can be used to monitor road conditions, identify potentially hazardous situations, and control traffic signals.

What does the system provide:

  • Real-time pedestrian detection on roads and at pedestrian crossings.
  • Monitoring of pedestrians entering hazardous or restricted areas.
  • Data transfer to ITS platforms and adaptive traffic signal control systems.

FAQ

Yes. Tevian solutions can be integrated into existing traffic enforcement systems, traffic video detectors, and intelligent transportation systems. SDKs, APIs, and ready-to-use containerized services are available for integration, including vehicle detection and recognition services. This makes it possible to embed video analytics directly into the system software or deploy it as separate services for processing video streams and images.

Yes. Tevian video analytics can work with existing road cameras and video streams. Whether a specific algorithm can be used depends on image quality, resolution, camera angle, lighting, and the size of the analyzed object in the frame. To verify compatibility and assess performance, we recommend testing the algorithms in advance using archived footage or video streams from the target cameras.

Video analytics accuracy is affected by video stream quality and resolution, camera angle and installation height, lighting, weather conditions, object speed, occlusions, and the size of the object in the frame. Input requirements vary depending on the task, such as vehicle detection, license plate recognition, vehicle type classification, or other use cases. Expected performance should be confirmed by testing on video footage from the target site.

Yes. Tevian solutions can be deployed in the customer's local infrastructure or closed environment without sending video streams or processing results to external cloud services. SDKs and ready-to-use containerized services can be used for deployment. Server hardware requirements depend on the number of video streams processed simultaneously, the algorithms used, video parameters, and performance requirements.

Deep insight

We develop and implement computer vision algorithms adapted to business tasks

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