PATSCAN Video Threat Recognition Software

Nov. 27, 2018
This truly unique system automates the detection of weapons, disturbances and suspicious behaviours through existing camera infrastructure. Using computer vision techniques coupled with machine learning for artifact recognition, the solution employs deep learning architecture to alert security teams to anomalies that a standard video system cannot identify.  

EhEye is in the process of piloting the solution with an international airport and a correctional facility through the Build in Canada Innovation Program.  In addition, the developers also received the support of the National Research Council of Canada.   In 2017, they received three (3) awards – two (2) KIRA awards for Most Innovative Startup and Most Innovative Technology and one (1) of StartupFest’s Choice Awards. 

“We are very pleased to welcome the EhEye team into the Patriot One family. Their award-winning threat recognition software will integrate into our client’s existing video camera networks offering a first line of defense to detect active shooters or terrorists approaching a venue with weapons drawn,” explained Martin Cronin, CEO and President of Patriot One.  “It will also offer an additional layer of detection inside buildings to track threats and even identify irregular disturbances or physical altercations between individuals.”

This novel video recognition software joins Patriot One’s family of threat detection solutions under the brand name PATSCAN VRS, denoting video recognition sensors for threat detection. Sales of the PATSCAN VRS solution will be based on a SaaS pricing model on a per camera-use basis per location.  The solution is currently in late stage pilot testing, as the platform is an AI based system designed to improve weapon detection, disturbance recognition and ongoing accuracy once deployed. It will continually learn through shared network updates as part of its monthly recurring subscription service, similar to the revenue model for the Company’s flagship PATSCAN CRM covert weapon detection solution.

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