The ReID inter—camera tracking system is an integrated solution for end-to-end tracking of objects in an area with multiple cameras. The system combines video streams from various observation points, automatically recognizes and compares objects (people, vehicles, equipment) when moving from the coverage area of one camera to the area of another, and builds continuous trajectories of their movement. Thanks to a single platform, operators get a complete picture of movements in real time and a history of movements for any period.

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Main features and functionality

• Multi-camera synchronization, collecting and correlating video streams from different devices, taking into account timestamps and camera placement geometry.
• Re ID (Re Identification) Reliable identification of the same object on different cameras, taking into account changes in angle, lighting and pose.
• Trajectory construction Visualization of object movement paths on an object diagram or map, calculation of speed and time spent in zones.
• Analytics and reports Upload statistics on zone crossings, waiting times, popular routes and abnormal movements.
• Notification system Configurable triggers: entering/exiting protected areas, crossing borders, and staying in “dangerous” areas for a long time.
• The operator's interface is an intuitive web client with a panoramic camera view, an event panel and the ability to “jump” to any stage of the trajectory.

Technologies used

• Re Identification (ReID): deep convolutional networks for extracting and comparing embeddings of objects.
• Video Analytics: YOLO/Faster R CNN detectors for detecting people and equipment.
• AI and Deep Learning: LSTM/Transformer modules for trajectory prediction and smoothing transitions between cameras.
• Camera Stitching & Calibration: automatic geometric anchoring of cameras into a single coordinate system.
• Edge Computing: local data preprocessing and filtering on video servers or smart cameras.
• Scalable architecture: containerization (Docker, Kubernetes), message brokers (Kafka/RabbitMQ) for reliable data flow.

Target audience and customer segments

• Access control systems (ACS) Automate the verification of access border crossings, enhance personnel verification.
• Security and security services, perimeter monitoring, rapid response to unauthorized movements.
• Public facilities Airports, train stations, stadiums and shopping malls: optimization of passenger traffic, prevention of stampedes and emergencies.
• Corporate and government structures Control the movement of employees, visitors and vehicles in closed areas.

Development and integration opportunities.

• Integration with VMS and ACS Connection to Milestone, Genetec, Hikvision, as well as to popular access control systems.
• Predictive analytics module for detecting movement patterns and forecasting “hot zones” with high density.
• A mobile application for receiving Push notifications and viewing current trajectories on smartphones and tablets.
• Integration with GIS Overlay of routes on geographical maps for objects with a large territory.
• API ecosystem: Open REST/WebSocket interfaces for creating custom reports and widgets.

Conclusion

The ReID inter‑camera tracking system provides a comprehensive approach to inter-camera tracking: from accurate identification of objects to in-depth analysis of their behavior. The system improves the efficiency of security services, facilitates the investigation of incidents and provides tools to optimize the flow of people and transport at any facilities — from offices and warehouses to large public spaces.