The VCA Approach

Our approach to AI/Deep Learning is very different to many other companies in security analytics. As an early pioneer of video analytics (since 2007), we understand the real issues on analytic reliability and what causes false alarms.

We also understand what our clients want and put simply that is ”a significant reduction in false alarms and ease of set up”.

We have therefore concentrated the development plan on satisfying our customers demands by making false alarm reduction and ease of set up the key objective.

How do we do this?

Our first DL module release is focussed on “Event Detection” and is ideal for sterile zones and perimeter protection. This is the DLC module

The Deep-learning based classification engine replaces current classification engine based on calibrated scene .

It more accurately distinguishes between true events and false positives (e.g. spiders, car headlights, environmental changes) It does not require camera calibration, which decreases the installation and maintenance burden.

Further Developments

We will release our second DL module early in 2019. This module is ideal for busy scenes and it utilises our high accuracy tracking engine for accurately tracking humans in busy, unconstrained dynamic scenes.

It is ideal for retail Intelligence, security at high density scenes such as airports, travel hubs, and Casino’s.