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Robotic Assistance Devices (RAD) announces improvements to its AI-powered firearm detection analytics

Detroit, Michigan, May 28, 2024 – Robotic Assistance Devices, Inc. (RAD), a subsidiary of Artificial Intelligence Technology Solutions, Inc. (AITX), is pleased to announce improvements to the performance and reliability of its AI analytics for firearm detection. These improvements will be included in the RAD line of security devices, including ROSA, RIO, AVA and RADDOG, and will begin shipping in June.

Key features of the modernized firearm detection system include:

  • Dual Authentication: This new feature aims to reduce false positives by ensuring the system only works on true positives, improving overall reliability.
  • Improved performance: Updated software delivers superior accuracy and faster response times for more effective threat detection and mitigation.

“Continuously improving our AI both at the edge and in the cloud is critical to staying ahead of potential threats and ensuring public safety,” said Steve Reinharz, CEO/Chief Technology Officer of AITX and RAD. “We rely heavily on this technology. We believe the existing limited competition combined with strong demand makes it worth the investment.”

The Company noted that verified firearm detection analysis will be an additional fee for the physical ROSS and RAD product lines, making it the first analysis to generate additional revenue for the Company. Pricing details will be made available to RAD distributors and customers upon request.

Troy McCanna, RAD’s chief security officer and former FBI agent, emphasized the importance of proactive security measures: “It is imperative that schools and corporate campuses regularly review their active shooter safety procedures and protocols. RAD firearms detection solutions provide a critical layer of protection, increasing the ability to quickly and effectively identify and respond to threats.”

RAD devices use a combination of edge (on-device) and cloud computing to increase the reliability of firearm detection systems. When a potential firearm is detected, the device immediately sends captured images of the suspected weapon to the RAD cloud to perform a process called dual authentication. During this process, suspicious images are compared to RAD’s constantly updated library of firearm models.

If the process confirms a true positive result, the on-scene RAD device will automatically enter the local alert phase, which includes audible and visual alerts. This action triggers an immediate response protocol in which notifications are quickly sent to remote monitoring centers and other security personnel, including law enforcement.