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Video Analytics for Airports, Railway Stations, Metro Systems, and Ports
Tevian video analytics for transport hubs helps security and operations teams work with passenger flows, events, and objects in video footage. The solution analyzes video from cameras in airports, railway stations, metro stations, ports, railway terminals, and industrial transport facilities. The algorithms count passengers, detect queues and crowding, help search for a person by photo, silhouette, or description, identify unattended items, monitor service areas, and recognize railcar numbers.
Passenger Flow Analysis and Monitoring
Monitoring Zone Occupancy, Queues, and Crowding
Tevian Recognition Platform analyzes video streams in entrance areas, check-in areas, screening zones, platforms, passageways, and waiting halls. The algorithms count passengers, estimate flow density, and show where infrastructure load is increasing. For operations teams, this helps identify which areas are overloaded during peak hours, where an additional post should be opened, where passenger routes should be adjusted, or where staff should be reassigned. Security teams receive data on areas with increased crowd density and can respond faster to unusual situations.
What does the system provide:
- Passenger counting in video streams.
- Passenger flow analysis by zone and time period.
- Monitoring of queues, crowding, and flow density.
- Statistics for entrances, platforms, waiting halls, and screening areas.
Workforce Discipline Control
Monitoring Employees and Compliance with Procedures
Tevian Operator Monitoring analyzes video from work and service areas: control posts, screening points, platforms, entrance groups, and technical rooms. The system records employee presence at the workplace and events that require review: a long absence from a post, presence in a restricted area, violation of a defined procedure, or another action configured for the facility’s scenario. For shift supervisors, this helps review disputed situations faster, check how posts are operating, and understand where duty coverage should be reinforced or staff schedules adjusted. Security teams receive an event log by zone, time, and violation type.
What does the system provide:
- Monitoring employee presence in work and service areas.
- Recording events related to compliance with procedures.
- A log of violations and disputed situations by facility zone.
- Data for shift supervisors, operations teams, and security teams.
Situational Video Analytics
Detection of Unattended Items and Risk Events
Video analytics analyzes passenger, service, and technical areas of a transport hub: waiting halls, passageways, platforms, screening areas, entrance groups, and restricted-access rooms. The system detects events that require operator attention: unattended baggage, boxes and other items, an object appearing in a defined zone, smoke, fire, or a person falling. For security teams, this helps detect situations faster when they are difficult to track manually across many cameras. The operator receives an event linked to a zone and time, verifies it in the video, and passes the information to the duty shift or responsible department.
What does the system provide:
- Detection of unattended items and baggage in passenger and service areas.
- Recording events in defined control zones.
- Operator notifications with location, time, and event type.
- Event transfer to the existing security system or operator workstation.
People Search
Searching for a Person by Description, Photo, or Silhouette
Tevian Recognition Platform helps search for people in live video streams and archived footage from transport hub cameras. The operator can use a photo, silhouette, or appearance description: clothing color, bag, backpack, headwear, and other visible attributes. This scenario is useful when a facility needs to quickly find a lost passenger, child, elderly person, employee, or visitor. Search by visual attributes is especially useful when the face is not visible in the frame or personal identification is not required.
What does the system provide:
- Search for a person by photo, silhouette, or description.
- Search by visual attributes: clothing, color, objects, height.
- Work with live video streams and archived footage.
- Reduced search time across transport hub cameras.
Face Verification
Identity Verification in Control and Service Areas
Tevian algorithms compare a person’s face with a photo in a document, access pass, or pre-created profile. This scenario can be used in registration areas, access points, service rooms, checkpoints, and other parts of a transport hub where it is important to confirm that access is granted to the right person. For security teams, this helps reduce the risk of access using someone else’s document or pass. For facility staff, it speeds up verification within the usual workflow: the operator sees the comparison result, checks the data, and makes a decision according to internal procedures.
What does the system provide:
- Face comparison with a photo in a document, pass, or profile.
- Identity verification in control and service areas.
- Recording the verification result for later event review.
- Transfer of the result to ACS, a registration system, or an operator workstation.
Document Processing
Document Recognition at Control Points
Tevian IDP recognizes documents from scans, photos, and camera images at control, registration, and access points. This may be a passport, ID card, access pass, permit, or another document type used at a transport infrastructure facility. For employees, this reduces manual data entry and helps process access, registration, or visitor checks faster. The operator receives recognized fields, compares them with the document, and confirms the result according to the facility’s internal procedure.
What does the system provide:
- Recognition of document text and fields.
- Data extraction from photos, scans, and camera images.
- Document image quality check.
- Data transfer to registration, access control, or document workflow systems.
Railcar Number Recognition
Rolling Stock Accounting at Railway Facilities
Tevian Railway SDK recognizes railcar, platform, and locomotive numbers at entry, exit, and control zones. Cameras capture the train as it passes through a control point, and the algorithms determine the number, time, direction of movement, and passage event. For railway terminals, ports, industrial sites, and logistics facilities, this helps automate rolling stock accounting without manually rewriting numbers. The data can be used for reconciliation with internal accounting systems, weighing systems, and arrival or departure logs.
What does the system provide:
- Recognition of railcar, platform, and locomotive numbers.
- Rolling stock accounting at entry, exit, and control sections.
- Recording time, direction of movement, and passage event.
- Railcar number checksum verification.
- Data transfer to accounting, dispatching, or weighing systems.
