Introduction

In large-scale environments such as shopping malls, airports, and city centers, maintaining security requires more than just passive recording. When a security incident occurs or a person of interest is identified, security personnel must be able to track the suspect across multiple camera feeds instantly. Manually searching through hundreds of cameras in real-time is nearly impossible, often allowing suspects to disappear into crowds or exit the premises undetected. ACTi's Real-time Suspect Tracking solution leverages AI-powered metadata and unified management software to provide a seamless, multi-camera tracking experience that keeps eyes on the target at all times.

Common Challenges

Multi-Camera Discontinuity: In large facilities, suspects move quickly between the fields of view of different cameras. Security operators often lose sight of the target while trying to manually locate the next logical camera feed.

Information Overload: Operators in a central command center are often overwhelmed by dozens of simultaneous video streams, making it difficult to focus on a single moving target across a complex architectural layout.

Delayed Identification: Without automated assistance, identifying a suspect based on a vague description (e.g., "person in a red shirt") takes too long, giving the suspect ample time to evade capture or cause further harm.

Lack of Real-time Coordination: Communicating a suspect’s live location to ground security teams is often slow and inaccurate when done purely through voice radio without visual confirmation and synchronized maps.

Inefficient Forensic Retrieval: After an incident, security teams may spend hours or even days manually reviewing footage from multiple cameras to reconstruct the suspect's path of travel.

ACTi Solution: Seamless Multi-Camera Tracking

ACTi provides an intelligent tracking ecosystem that combines AI-driven metadata with a map-centric management interface to ensure suspects are never lost.

AI Object Re-Identification (Re-ID): ACTi's AI cameras extract unique metadata attributes from individuals, such as clothing color, gender, and accessories. This allows the system to recognize the same person across different cameras, even if their face is not clearly visible.

Interactive E-Map Tracking: The ACTi Video Management System (VMS) features an interactive e-map that displays the physical locations of all cameras. When a suspect is spotted, operators can click on adjacent camera icons on the map to instantly switch views following the suspect’s path.

"Follow-Me" Multi-Window Layout: The VMS can automatically pop up neighboring camera feeds as a suspect approaches the edge of a current camera's view. This "follow-me" logic ensures a continuous visual chain without the operator needing to search for camera names or IDs.

Metadata-Based Real-time Filtering: Operators can input specific attributes—such as "blue jacket" and "backpack"—into the VMS. The system then highlights all matching individuals across all live feeds, allowing security to pinpoint a suspect in a crowded environment instantly.

Instant Mobile Dispatch: Once a suspect is identified and tracked, the live video and location data can be pushed directly to the mobile devices of security guards on the floor. This provides ground teams with real-time visual confirmation to assist in a safe and accurate interception.

Conclusion

ACTi’s Real-time Suspect Tracking solution transforms the way security teams respond to active threats. By bridging the gap between individual camera feeds with AI metadata and intuitive map-based controls, ACTi ensures that security personnel can maintain a continuous line of sight on suspects, drastically increasing the speed of intervention and the overall safety of the facility.