US Army’s next-gen weapons program to use firearms with IoT tech
ARC said it technology platform will provide data on individual weapons at scale
National security and public safety company Armaments Research Company (ARC)said that its IoT technology will be introduced in the Next Generation Squad Weapon (NGSW) program of record, in partnership with Sig Sauer.
The U.S. Army’s initiative will replace its individual rifles, squad machine guns, fire control system and ammunition, with the main aim of modernizing the military equipment.
ARC’s technology platform will provide data on individual weapons at scale, according to the company. The resulting insights will enable U.S. Army’s units to regularly assess weapons’ health, reduce failure rates, extend the lifetime of a weapon and optimize maintenance plans, enhancing performance and reducing costs, ARC says, adding that the data gathered by ARC’s platform can also improve a unit’s understanding of its readiness.
“Our team is thrilled to partner with Sig Sauer to deliver this platform and refresh the Army’s weapons for the first time in several decades,” said ARC CEO Michael Canty. “The Army NGSW program office is pushing the boundaries in seeking a modern, data-driven approach to weapons readiness and we are honored to contribute. With tens of thousands of new weapons as data sources in the field, we can optimize equipment safety and reliability, ultimately harnessing this data to save lives.”
The first production delivery of NGSW weapons will include ARC’s round count and inventory management system, gathering weapons usage data on the units over the next several years. The NGSW program was development in response to findings that current weapons systems threaten conflict overmatch, ARC said.
ARC also noted that its weapons intelligence platform works with tactical tools and artificial intelligence to ensure mission readiness and improve small-unit performance.
ARC said that its proprietary systems provide national defense, law enforcement and security professionals with embedded IoT sensors, intelligent mobile applications, and cloud-based analytics platforms.