VCA Forensic Search

VCA Forensic analytics extract detailed information about objects, people, and behaviour, which is then indexed to make searchable by users quickly and efficiently.

How It Works

As video is processed, VCA Forensics deep-learning analytics automatically detect, track, and classify objects such as people and vehicles, recording attributes like time, location, direction of movement, and behaviour. This metadata is stored alongside the video and becomes the foundation for fast forensic investigation.

Key Capabilities

1. Attribute-based search: Users can search recorded footage by object type, movement direction, speed, size, dwell time, or zone interaction.
2. Timeline and map-based review: Events can be visualised across timelines or site layouts, allowing investigators to quickly narrow down relevant events.
3. Retrospective searching: Multiple rules and detections can be applied to video retrospectively, to identify incidents across multiple cameras and over extended time periods.
4. Reduced investigation time: What traditionally would take hours or days to review manually can be completed in minutes, using metadata-driven searches to find exactly the object or event type required.

Use Cases

1. Within security applications, VCA Forensic quickly locates events or suspects, tracking movement across cameras, or identifying when and where an incident occurred.
2. VCA Forensic gives users a powerful, post-incident analysis tool, reviewing recorded footage to understand behaviours and the sequence of events leading up to an alarm or incident.
3. Operational review enables users to analyse traffic flow, people movement, or asset usage over time.

Business Value

VCA’s forensic search transforms video from passive recorded evidence into an actively searchable intelligence source. It significantly improves investigation efficiency, reduces operational costs, and enhances situational awareness without requiring changes to existing camera infrastructure.