Vidrovr Inc. SBIR Phase I Award, November 2019

The Army employs a dizzying array of sensors on the modern battlefield. This increase in battlefield data has expanded the need for visual analysis for targeting and threat qualification, as well as situational awareness. Today, these tasks are largely conducted manually, requiring a human operator to review hours of footage to extract the desired information. Vidrovr proposes improving and tailoring its current system in development for the Army's ARDEC unit in order to provide object and threat detection for mobile and stationary platforms. This system will operate a 2nd generation inference pipeline leveraging a set of state of the art models for performing real world threat recognition.