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Fleet Operators and Carriers

Video Analytics for Fleets, Transport Operators, and Logistics

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Tevian’s video analytics modules seamlessly integrate into the IT infrastructure of carriers, logistics companies, fleet operators, delivery services, and public transport systems, operating in real time with minimal system load.


Driver Control

Fatigue, distraction, and unsafe driving behavior detection

The driver monitoring system analyzes the driver’s condition and behavior in real time while the vehicle is moving. Video analytics detects signs of fatigue, including yawning and closed eyes, as well as distraction, looking away from the road, mobile phone use, smoking, eating, and failure to wear a seat belt. When a risk is detected, the system sends an alert to the driver and a notification to the dispatcher while saving a video recording of the incident. The solution helps transport operators and fleet managers improve driving safety, monitor compliance with work and rest requirements, and review driver behavior along the route. The system integrates with fleet management platforms, GPS, telematics, and digital tachographs to create a unified transport safety monitoring environment.

What does the system provide:

  • reduced risk of road accidents caused by driver fatigue and inattention;
  • improved driver discipline and transport safety;
  • faster dispatcher response to hazardous situations;
  • video evidence for incident investigation and dispute resolution;
  • unified monitoring of driver, route, and vehicle data.

Vehicle Tracking by License Plate

License plate recognition in low-light and challenging weather conditions

The system recognizes vehicle license plates in images and video streams, enabling automated vehicle tracking and fleet accounting. The algorithm operates in low-light conditions, at night, in fog, and in snow, and supports license plates from more than 38 countries. The solution is suitable for monitoring company-owned, rented, and contractor vehicles at business premises. Low computing requirements enable processing on edge devices and the transfer of recognition results to vehicle tracking and accounting systems.

What does the system provide:

  • a unified event log for every vehicle;
  • a transparent history of vehicle presence on site;
  • faster detection of inconsistencies in vehicle records;
  • fewer manual operations at checkpoints;
  • simplified monitoring of rented and contractor vehicles;
  • structured data for reporting and incident investigation.

Priority Access for Special Vehicles

Automated entry for emergency and service vehicles

The system identifies special vehicles, including ambulances, fire service vehicles, police vehicles, emergency response units, and service vehicles. Identification is based on the license plate, its color and type, external markings, and visual characteristics of the vehicle.

What does the system provide:

  • reduced entry time for emergency and service vehicles;
  • automated priority access without operator involvement;
  • logging of special vehicle entry and exit events;
  • unified access rules for emergency services, contractors, and service vehicles;
  • integration with access control and barrier management systems.

Passenger Counting and Vehicle Occupancy Analysis

Cabin occupancy analysis and passenger safety monitoring during trips

The system automatically counts passengers boarding and leaving buses, minibuses, and other public transport vehicles. Video analytics measures current cabin occupancy, detects overcrowding, and generates passenger flow data by route, trip, and time of day. The resulting analytics helps transport operators adjust schedules, optimize routes, and deploy additional vehicles during periods of increased demand. The system also monitors the situation inside the vehicle by detecting conflicts, aggressive behavior, and abandoned items and generating events for dispatchers and security teams.

What does the system provide:

  • actual vehicle occupancy data by route and trip;
  • detection of overcrowded sections and peak demand periods;
  • more accurate schedule planning and fleet allocation;
  • fewer manual operations in passenger counting;
  • rapid alerts about conflicts and hazardous situations inside the vehicle;
  • data for reporting and transport service quality analysis.

Vehicle License Plate Authenticity Verification

Detection of forged, concealed, and damaged license plates

The system analyzes vehicle license plates and detects signs of substitution, damage, or deliberate character concealment. Video analytics identifies covered or modified plates, format inconsistencies, unreadable characters, and other indications of possible license plate manipulation. When a suspicious license plate is detected, the system generates an event and sends a notification to the operator. The solution is suitable for vehicle control at checkpoints, parking facilities, logistics terminals, industrial sites, and restricted areas.

What does the system provide:

  • detection of access attempts involving forged or modified license plates;
  • identification of concealed and unreadable license plate characters;
  • reduced risk of unauthorized vehicle access;
  • immediate operator notification of suspicious events;
  • recording of the image, time, and detection point;
  • data for incident review and access decisions.

Driver Verification

Biometric access control for vehicles

The system verifies the driver’s identity before granting access to a vehicle and during driver changes along a route. The algorithm compares the person’s face with a reference image in the database and detects attempts by unauthorized individuals to operate the vehicle. The solution records the start and end of each shift, links the driver to a specific vehicle, and transfers the results to vehicle access, working time, and fleet management systems. This supports driver change monitoring on urban and intercity routes and helps verify compliance with work and rest requirements.

What does the system provide:

  • driver identity confirmation before the start of a trip;
  • prevention of vehicle handover to unauthorized individuals;
  • a reliable history of driver changes and driving periods;
  • verification that the assigned driver matches the vehicle and route;
  • data for working time records and incident investigation;
  • reduced risk of unauthorized vehicle use and theft.

Parking and Access Control Automation

Management of vehicle entry, parking spaces, and site access

The system automates parking operations and access control at business premises, industrial sites, logistics centers, and restricted facilities. Once a license plate is recognized, it is checked against allowlists and blocklists, and the system sends a command to open or block the barrier. Video analytics detects occupied and available parking spaces, records entry and exit times, and identifies parking violations and unauthorized access attempts. The collected data can be used for billing, reporting, and site occupancy analysis.

What does the system provide:

  • automated access for authorized vehicles without operator involvement;
  • reduced queues and waiting times at entry points;
  • up-to-date information on parking space availability;
  • tracking of how long vehicles remain on site;
  • detection of parking violations and unauthorized entry attempts;
  • a unified event log for reporting and incident investigation.

VIN Recognition

Automated VIN matching with documents and vehicle records

The system automatically detects and reads the VIN on a vehicle body. The recognized identifier can be matched with registration documents, license plate data, and internal vehicle records to identify inconsistencies. The solution is suitable for vehicle acceptance, inventory, and maintenance workflows involving company-owned, rented, and contractor vehicles. Recognition results can be transferred to external information systems for further verification and event logging.

What does the system provide:

  • automated matching of vehicles with internal records;
  • detection of inconsistencies between the VIN, license plate, and documents;
  • fewer errors caused by manual identifier entry;
  • faster vehicle acceptance and inventory procedures;
  • recorded verification results for reporting and incident review;
  • integration with corporate systems and authorized external databases.

FAQ

The solutions use computer vision and machine learning algorithms to detect, recognize, and track objects in images and video streams. Depending on the enabled modules, the system can analyze driver condition, recognize faces, license plates, and VINs, count passengers, and monitor vehicles on site. Processing can be performed on a central server or on an edge device located near the camera. The results are transferred to external systems as events and structured data.
The deployment timeline depends on the number of cameras and sites, the condition of the existing infrastructure, the selected modules, and the complexity of integration with external systems. Camera configuration, algorithm testing on real video streams, and data storage requirements are also taken into account. To estimate the timeline, the first step is usually to define the use cases and conduct a technical assessment or pilot test. Based on the pilot results, a decision is made on deploying the system at one site, followed by scaling it across the entire network of locations.
Yes. The system can transfer events and recognition results to fleet management platforms, VMS, access control systems, telematics platforms, and corporate information systems. The integration method depends on the available APIs, data exchange formats, and project architecture.
Yes, provided that the existing cameras meet the requirements of the intended use cases. The assessment takes into account camera angles, resolution, frame rate, field of view, lighting conditions, and the size of the analyzed object in the frame. Before making a deployment decision, all relevant conditions should be evaluated, and the algorithms should be tested on archived footage from the target cameras.

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