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A video analytics platform for recognizing faces, vehicles, objects, and events
Description
Tevian Recognition Platform is a scalable video analytics platform based on computer vision. The system processes video streams from cameras and archived recordings, recognizing faces, human silhouettes, license plates, vehicles, and objects in the frame.
The platform helps security, operations, and dispatch teams work with video data: search for people and vehicles, monitor zones, receive incident alerts, analyze activity at a facility, and transfer data to external IT systems. The solution can be used in city video surveillance systems, transport infrastructure, industrial facilities, parking areas, commercial real estate, and facilities with increased security requirements.
Key features
- Face, human silhouette, vehicle, license plate, and object attribute recognition in video streams and archived recordings;
- Search for people by face, photo, silhouette, and visual attributes;
- Search for vehicles by license plate, camera, time, detection zone, and passage event;
- Situational video analytics: unattended items, crowding, intrusions, and crossing of defined zones;
- Analysis of movement, recurring events, and activity in controlled zones;
- Heatmap generation for people, objects, and surveillance zones;
- Event cards with camera, time, zone, object, trigger type, and video fragment;
- Interactive dashboards, filters, and reports by events, cameras, zones, and recognition results;
- Transfer of events and recognition results to external systems via REST API.
- Configuration of video analytics scenarios for different cameras, zones, and processing rules
Functional Advantages
A single web platform for different video analytics scenarios
Tevian Recognition Platform combines search, recognition, events, video archive, dashboards, and operator workflows in one web interface. Customers do not need to assemble a fragmented system from separate modules for face, vehicle, object, and event recognition.
Deployment inside the customer’s closed environment
The platform can operate inside the customer’s infrastructure without transferring video streams and recognition results to external cloud services. This is important for facilities with information security requirements: city systems, transport, industrial facilities, banks, and organizations that work with sensitive data.
Distributed and fault-tolerant architecture
The platform is designed for high-load and distributed video analytics systems. It can be used not only at a single facility, but also in projects with a large number of cameras, sites, operators, and processing scenarios.
Integration with existing infrastructure
Tevian Recognition Platform connects to existing IP cameras, video streams, and VMS. Events and recognition results can be transferred via REST API to ACS, dispatch centers, operator workstations, monitoring systems, and the customer’s internal IT services.
Tevian’s own technology stack
Key computer vision algorithms are developed inside Tevian without dependence on third-party SDKs. This gives more control over the technology, reduces dependence on external licenses, and simplifies platform development for project requirements.
Customization for project tasks
The platform can be adapted to the scenarios of a specific customer: control zones, trigger rules, lists, object attributes, event transfer routes, and integration interfaces can be configured. This is especially important for projects where a standard video analytics configuration is not enough.
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