Marine

ARC Develops AI/ML Maintenance Platform for US Marine Corps Under SBIR Phase III Contract

Arms Research Society (ARC) will develop a predictive maintenance platform for crew-served weapons for the United States Marine Corps under the company’s recently awarded five-year contract, $60 million SBIR Phase III contract.

The SBIR Phase III contract with the Department of Defense and General Services Administration enables the ARC to develop systems in support of Army Joint Joint Command and Control (JADC2) project portfolio, which aims to connect military service sensors in an integrated and centralized network.

The ARC will embed its IoT-enabled sensor into crew-served weapons platforms to collect, synthesize and communicate diagnostics that will enable predictive maintenance and optimize unit readiness by allowing units to better assess the overall health of the platform, the company announced Thursday.

“Supporting the Marines’ leap forward from time-based maintenance to condition-based maintenance for their medium-caliber weapons creates extraordinary potential for efficiency,” said ARC’s CEO. Michel Canty.

Canty added that non-age related equipment issues typically account for about 80 percent of total failures, and ARC’s work on the project will help the Marine Corps understand, predict and prevent these issues.

Throughout this project, ARC will continue to develop its artificial intelligence and machine learning based weapons sensor, ARC-Response, adapting the sensor to small and medium caliber weapons platforms.

The data collected by the improved sensors will be used to develop machine learning algorithms to identify parts in need of repair and detect potential part failures before they occur, thereby ensuring operational safety.

Last month, ARC introduced two task commands under the contract, which focus on merging data from ARC’s advanced AI-enabled computing sensors with other data sources to use platforms. mobile and extended reality forms to transmit information to tactical forces more quickly.