Daedalean selects Recogni’s Scorpio for visual perception processing in new avionic system
Recogni Inc announced that its inference solution, Scorpio, has been selected by AI-enabled avionics system developer Daedalean as the visual perception processing engine for a new flight control unit. This unit meets the requirements of visual awareness systems and the Federal Aviation Authority (FAA).
According to Recogni, autonomous aviation is rapidly advancing, necessitating stringent safety and accuracy regulations.
Aerial mobility is progressing by enhancing pilot assistance, reducing qualification requirements, and minimizing workload on aircraft. High-resolution detection, identification, and path-planning capabilities in flight control units are vital advancements.
FAA certification necessitates traceable systems for every action taken by the control unit. Daedalean’s situational awareness suite requires a high-performance yet lightweight computing unit that doesn’t rely on extensive cooling systems. Recogni’s Scorpio offers a scalable, energy-efficient and cost-effective solution to meet this need, the company says.
According to Luuk van Dijk, the CEO of Daedalean, tomorrow’s autonomous aircraft need advanced AI perception processing to surpass human pilots in perception, decision-making, and path planning.
“Scorpio is a solution that addresses the key problems we were looking to solve –such as eliminating costly and heavy cooling systems and sustaining operation traceability for certification purposes,” van Dijk says.
He also mentions that collaborating with Recogni will allow his company to provide the industry with an enhanced product that incorporates increased safety parameters in the General Aviation cockpit.
Recogni’s Scorpio offers a solution for autonomous systems in various industries, including automotive, aviation, marine, rail and trucking. With its ability to process multiple streams of high-quality visual data while consuming minimal power, the company says it can integrate into any autonomous platform.
Marc Bolitho, the CEO of Recogni, states: ” As autonomy continues to advance, more and higher resolution sensors will be needed, necessitating more computation. The market is seeking a solution that can scale with the industry, and our agreement with Daedalean validates our ability to be that solution.”
Recogni offers vision-based perception processing for autonomous driving platforms. Founded in 2017, the company has offices in San Jose, California and Munich, Germany. Investors include GreatPoint Ventures, Celesta Capital, Mayfield, DNS Capital, and automotive companies such as BMW iVentures, Toyota Ventures, Bosch, Continental, Forvia and FluxUnit-OSRAM Ventures.
Daedalean develops machine-learning avionics systems for civil aircraft and advanced air mobility. With offices in Switzerland, the EU, and the US, the company has a team of over 150 professionals in machine learning, aviation-grade software, flight testing, safety assessment and certification.
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