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ZeroEyes to Research LiDAR-Enabled Threat Detection for US Air Force

A computer image demonstrates new artificial intelligence software designed to detect and alert the presence of firearms. Photo: US Air Force

ZeroEyes segment ZE Government Solutions has received a contract to explore Light Detection and Ranging (LiDAR) threat detection for the US Air Force.

Under the project, the company will integrate its proprietary artificial intelligence-based object detection video analytics platform with LiDAR data.

LiDAR is a remote-sensing technology that leverages wavelengths to obtain a three-dimensional view of a subject.

The resulting solution will aid warfighters in sustaining real-time identification, tracking, and response against potential threats obstructed by various materials in a field.

A computer image demonstrates new artificial intelligence software designed to detect and alert the presence of firearms. Photo: US Air Force

Once employed, the situational awareness asset is expected to give operation teams the “upper hand” over adversaries in close proximity to and inside structures.

“We look forward to demonstrating how ZeroEyes’ AI gun detection and situational awareness platform can integrate with LiDAR technology to assist with our national defense,” ZeroEyes Co-Founder and CEO Mike Lahiff stated.

“By merging these cutting edge technologies, we will enable our armed forces to detect and neutralize hidden threats rapidly and effectively, giving them an unparalleled advantage against aggressors.”

Recent Air Force Projects

In July, ZeroEyes secured a contract to install AI-based anomaly detectors in US Air Force body cameras.

This technology will increase situational awareness in traffic stops at air force installations.

Last year, the company signed a contract with the service to supply AI gun detection for aerial drones at Dover Air Force Base in Delaware.

The capability, programmed with machined learning and internet-linked security cameras, confirms the presence of a handheld weapon before a shot is fired.

Operators receive images and, depending on the results, trigger the drones to activate response and interference protocols.

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