Category Archives: artificial intelligence

“Shield AI Collaborates with Sentient Vision Systems to Offer AI-Enabled Wide Area Motion Imagery Capability” –News Release

Posted on by
2

The unmanned aircraft sensor payload capability is varied based on the Coast Guard’s desired mission and search conditions: MWIR 3.5 is a mid-wave infrared for thermal imaging capability, for use at night or periods of low visibility; EO-900 is a high-definition telescopic electro-optical (EO) imager to zoom in on targets at greater distance; and ViDAR is a visual detection and ranging wide-area optical search system that is a comprehensive autonomous detection solutions for EO video. Courtesy Photo.

I am passing along this vender’s news release. It references two systems we have discussed in the past, Vidar and the V-Bat UAS. The Coast Guard has a history with these systems.

 Shield AI Collaborates with Sentient Vision Systems to Offer AI-Enabled Wide Area Motion Imagery Capability

SAN DIEGO (Aug. 10, 2023) – Shield AI, an American defense technology company building the world’s best AI pilot, and Sentient Vision Systems (Sentient), an Australia-based leader in AI-enabled passive wide area search, are pleased to announce a strategic collaboration aimed at delivering a wide area motion imagery (WAMI) solution for Department of Defense (DoD), Australian Defense Forces (ADF) and other international customers.

The companies will jointly develop and integrate a ViDAR-enabled, wide-area-search capability onto Shield AI’s V-BAT unmanned aircraft, which will enable Shield AI’s V-BAT to intelligently classify, track, and read-and-react to targets in dynamic missions. Shield AI plans to fly the capability on V-BAT next year.

“This work with our Australian partner, Sentient, is a unique opportunity to fuse the innovation prowess of two companies from allied countries on opposite sides of the world. Together, we are shaping the future of defense technology,” said Brandon Tseng, Shield AI’s President, Co-founder, and former U.S. Navy SEAL.

ViDAR is Sentient’s AI system, which uses an Electro-Optic or Infrared (EO/IR) sensor to detect and classify targets in the imagery stream that would be invisible to a human operator or to a conventional radar. With these enhanced capabilities, V-BAT will be even more proficient in executing the most challenging missions, offering a level of capability that significantly bolsters threat deterrence, thereby reinforcing international peace and security.

“Sentient is excited and proud to be working with Shield AI on this truly breakthrough solution,” said Mark Palmer, Sentient’s Chief Technology Officer. “We look forward to combining the AI expertise and operational understanding of our two great teams to deliver superior ISR capabilities for today’s rapidly changing defense and security environment.”

About Shield AI 
Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, Twitter, and Instagram.

Media contact: media@shield.ai

About Sentient Vision Systems                                                                                      Sentient Vision Systems specializes in passive, modular optical sensors for persistent, wide area motion imagery. Sentient’s artificial Intelligence (AI)-enabled edge solutions better detect and identify small objects in real time, on land and at sea. With more than 20 years of development in moving target indication, AI computer vision and machine learning, Sentient has deployed thousands of systems worldwide in the field of Intelligence, Surveillance, Search and Rescue, enhancing situational awareness, accelerating informed decisions, and saved numerous lives. For more information, visit www.sentientvision.com. Follow Sentient on LinkedIn, Twitter and YouTube.

Media contact: media@sentientvision.com

Editorial enquiries :

Shield AIMedia contact: media@shield.ai

Sentient Vision Systems Media contact: media@sentientvision.com

“Australia improving rescue efforts with artificial intelligence” –Indo-Pacific Defense Forum

Posted on by
Reply

RAAF C-27J conducts machine learning.

The Indo-Pacific Defense Forum is reporting that Australia is attempting to apply Artificial Intelligence (AI) to the visual search part of the SAR problem.

“Our vision was to give any aircraft and other defense platforms, including unmanned aerial systems, a low-cost, improvised SAR capability,” Wing Commander Michael Gan, who leads AI development for RAAF’s Plan Jericho, said in a news release from Australia’s Department of Defence. Plan Jericho, which was launched in 2015, is an RAAF 10-year blueprint to become one of the world’s most technologically advanced air forces.

It is a collaborative effort of the RAAF Air Mobility Group’s No. 35 Squadron, the Royal Australian Navy’s Warfare Innovation Branch and the University of Tasmania’s Australian Maritime College.

“There is a lot of discussion about AI in [the Department of] Defence, but the sheer processing power of machine learning applied to SAR has the potential to save lives and transform SAR,” Lt. Harry Hubbert of the Navy’s Warfare Innovation Branch, who developed algorithms for AI-Search, said in the news release.

I have to wonder if this is related to VIDAR, which has been included in the Coast Guard Scan Eagle UAVs, and can this be applied to Minotaur?

“Coast Guard turns to DOD’s new AI center for maintenance help” –DefenseSystems.Com

Posted on by
Reply

DefenseSyetems reports the Coast Guard is working with DOD’s Joint Artificial Intelligence Center (JAIC)

“We’re looking see how do a better job doing predictive maintenance for aircraft, helicopters in particular,”

—

So far, JAIC has released the first version of an algorithm to help with H60 Blackhawk maintenance to the Special Operations Command that will then head to the Army, Air Force and Navy. It is also working on solutions to help firefighters predict a fire’s movements and intensity and aid humanitarian assistance and disaster relief efforts, like California’s wildfires.