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Transport Hubs

Services for ensuring the safety and efficiency of transport operations through staff control and passenger flow management

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Computer vision technologies make it possible to track passenger flow speed in real time, control workforce discipline, detect abandoned objects, and assess infrastructure load, improving both safety levels and operational efficiency. Neural networks automatically search for people, verify identity, process documents, and help make operational management decisions based on the collected data.


Passenger Flow Analysis and Monitoring

Automatic real-time analysis of passenger flow speed for early detection of congestion and overloads

Tevian Recognition Platform automates monitoring processes and helps ensure the safety of transport infrastructure. The system performs primary analysis of passenger flow dynamics. In real time, it determines the number of people and service speed in registration areas, enabling timely response to changes in passenger flows by analyzing data from video surveillance cameras, reducing manual monitoring and eliminating human factor influence.

What does the system provide:

  • Tevian Recognition Platform automatically analyzes video streams from transport infrastructure. In typical scenarios, data processing takes fractions of a second: the system tracks passenger flow speed and identifies areas of increased load.
  • The silhouette recognition module within Tevian Recognition Platform does not require personal identification but provides the system with accurate information about people’s actions and the overall situation in the infrastructure.
  • The people counting module allows the system to estimate the number of people in a specified area and analyze dynamics at different times of day.

Workforce Discipline Control

Monitoring employee actions and compliance with regulations based on video stream analysis

Tevian Operator Monitoring automates workforce discipline control processes and increases transparency of employee operations using neural network algorithms. The system tracks employee presence in work areas, records compliance with regulations, and detects deviations from standard procedures such as sleeping, smoking, mobile phone usage, or eating outside established rules.

What does the system provide:

  • Tevian Operator Monitoring helps prevent incidents and disruptions, ensuring discipline and compliance with standards.
  • Each event is recorded by the system, allowing management and security teams to obtain an objective view of employee performance and respond promptly to potential threats, including information leaks, regulatory violations, and insider activity.

Situational Video Analytics

Real-time recognition of multimodal objects

Multimodal object recognition technology is used to enhance safety in infrastructure and public spaces. The system analyzes video streams in real time, identifies various types of objects, and tracks the appearance of abandoned items, ensuring timely response to potential incidents.

What does the system provide:

The system analyzes video streams and identifies objects that appear in the monitored area and remain stationary longer than a predefined time. This approach enables early detection of potentially dangerous or obstructive items.

  • The object analysis module automatically detects new objects in the scene, classifies them, and records their location, enabling faster response and maintaining order within infrastructure facilities.
  • The situational analytics module includes fire detection and identification of objects resembling weapons, expanding the capabilities of comprehensive facility security.

What does the system provide:

  • Silhouette recognition technology enables detection of a person without personal identification: the system determines height, proportions, clothing, items carried, backpacks, and other visual attributes, allowing rapid identification of the required individual within a crowd.
  • The text-based people search module allows searching for a person using textual event queries: the operator enters a description such as clothing, color, and other attributes, and the system finds all matching appearances in real time or archived video footage.

Face Verification

Automated identity verification using biometric data

Tevian KYC automates identity verification in service and infrastructure zones. The system matches a person’s face with reference data and verifies compliance of presented documents. The algorithms are resilient to changes in appearance and reduce manual operations, minimizing human factor impact. For each verification, processing history and matching results are stored, including list-based checks.

What does the system provide:

  • The system analyzes video streams and images to determine whether a person matches the provided documents or previously registered data. It enables identification of individuals based on various lists.
  • Face recognition technology compares biometric face templates, determines the degree of vector similarity, and detects attempts of image substitution.
  • Tevian KYC automatically recognizes document types, extracts data, and matches it with biometric verification results of the person presenting the document. This enables fast and reliable identity confirmation while reducing human factor influence.

Document Processing

Automated recognition and verification of passport data at passport control

Tevian IDP web service automates registration and identity verification processes. The system automatically recognizes passport data, extracts key information from document fields, and verifies its correctness. A set of optical character recognition (OCR) algorithms automatically processes data from documents and their photographs, reducing manual input and eliminating human factor influence.

What does the system provide:

Tevian IDP automatically recognizes and processes document images uploaded or captured from cameras. In typical scenarios, processing takes less than one second: the system extracts all document information, checks document image quality and the face photo on the document, and returns results for further verification or access procedures.


Railcar Entry Control

Automatic identification and tracking of railway rolling stock in real time.

Tevian Railway SDK automates monitoring and tracking processes at transport infrastructure facilities and industrial sites. The system recognizes railcar, locomotive, and platform numbers in real time, ensuring full transparency of logistics operations and eliminating manual data entry errors. Advanced video analytics detects train arrivals and departures automatically, generating digital log records without operator involvement.

What does the system provide:

  • Tevian Railway SDK automatically analyzes video streams from cameras installed along entry and exit tracks. The system delivers high recognition accuracy (up to 98%) even under challenging conditions such as low lighting, dust, or worn markings.
  • The railcar number recognition module automatically reads 8-digit identification codes, verifies the checksum, and determines the direction of movement, including shunting operations and reverse movement.
  • Integration with weighing systems and enterprise management platforms enables automatic matching of cargo weight data with specific railcar numbers, significantly accelerating train processing operations.

FAQ

The technologies help solve your tasks: facial recognition and document recognition. You can read more about the technologies and the approaches we use on the corresponding pages:
From a few weeks to a few months: depending on your systems and the availability of resources for integration. We strive to make the process of implementation as smooth and efficient as possible, consulting all of our clients so that you can quickly start using all the advantages of our system.

Deep insight

We develop and implement computer vision algorithms adapted to business tasks

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