The Virtual Patrol System using the VR software platform allows managers to patrol building interiors as if viewing them directly, with options to set automatic, rotating views at specific points and display current camera locations on a floor plan. The integration of fingerprint recognition with this VR platform creates the Virtual Reality Access Control System, which enables users to check the 3D location of entry points in virtual space and perform functions like opening, closing, or locking doors. This Virtual Patrol and Access Control System has been deployed in 150 sites, including public offices, military bases, and educational institutions.

Immersive & Intelligent Video Surveillance Analysis System
The Immersive & Intelligent Video Surveillance Analysis System advances the capabilities of the Virtual Reality Patrol and Access Control System, incorporating mixed reality and deep learning video recognition technologies. Mixed Reality (MR) encompasses both augmented reality (AR), which overlays virtual information on the real world, and augmented virtuality (AV), which adds real-world information into a virtual environment. This smart, seamlessly connected environment of reality and virtuality offers users an enriched experience.

For instance, users can interact with a virtual pet on their palm, set up a virtual gaming environment within a real room, rearrange furniture virtually, or create a collaborative workspace where remote participants feel as though they are working together in the same room.

Over the past five years, VECTORSIS has applied its VR software platform to video surveillance and access control systems, discovering two key issues from field use despite its major advantage of facilitating spatial understanding of buildings.

First, the need for managers to manually adjust observation points posed a challenge in urgent situations like intrusions, where this adjustment could become a hindrance. A proposed solution suggested that automating the shift of observation points to critical locations, such as the site of a fire or intrusion, would significantly enhance system usability.

Second, mapping camera footage onto building walls led to limitations where moving objects appeared distorted, creating elongated shadows. To address this, VECTORSIS recognized the need to integrate mixed reality technology, separating moving objects through object recognition and synthesizing them into the building’s virtual space. An interview with a university control room revealed that tracking an intruder’s entry and exit route across campus could take over six hours, as routes needed to be documented and provided to law enforcement. It became evident that automatically tracking and displaying a person’s path would make the system truly groundbreaking.

In response to these requirements, VECTORSIS developed the Immersive Auto-Tracking System, which automatically tracks intruder movements and visualizes their path in 3D. The system is designed to track designated intruders in real-time from both recorded and live camera feeds, automatically switching views and displaying movement paths in 3D. Furthermore, the Video Synopsis feature, expected to be commercially available in September, uses the company's object recognition technology to compile and display objects appearing within a specified timeframe into a short video, significantly reducing video playback time.