A Gremsy drone in flight. Photo: Gremsy
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California-based Lantronix Inc. will integrate its Open-Q 5165RB computer chip into Gremsy’s drone platform as part of a collaboration that also involves Teledyne’s thermal imaging tech.

The System-on-Module (SoM) chip brings the Lantronix’s Edge AI solution into the aerial asset, enabling it to process data directly on board in real-time and eliminating the need to relay info back to a cloud.

Combined with Teledyne’s Hadron 640R dual thermal camera, the system transforms Gremsy’s drone into a compact, smarter surveillance platform compliant with government standards.

By processing data internally, the drone consumes less power than conventional setups, extending its flight time and boosting mission endurance.

A render of Latronix’s Open-Q 5165RB SoM chip. Photo: Lantronix

“With an increasing number of top-tier global drone customers, Lantronix is a critical enabler of secure, high-performance drone platforms,” said Lantronix Chief Executive Officer Saleel Awsare.

“Our work with Gremsy as well as a growing number of drone industry manufacturers and developers demonstrates our ability to deliver at scale while meeting stringent [government compliance] requirements demanded in government and defense applications.”

Edge AI in Flight

Beyond surveillance, Lantronix’s integration unlocks new capabilities for the Gremsy drone, including object detection, anomaly spotting, and real-time mapping of its surroundings.

Its data processing edge comes from high-speed connectivity and flexible ports, which allow other plug-and-play systems to connect seamlessly.

The drone can also operate in extreme temperatures, from -25 to 85 degrees Celsius (-13 to 185 degrees Fahrenheit), making it suitable for diverse environments.

“Lantronix is a valued contributor to our next-generation platform, supporting the development of secure, compliant drone solutions,” stated Gremsy Vice General Director Nguyen Van Chu

“Lantronix delivers industry firsts, including a direct connection with the FLIR Hadron 640R, enabling the Lynx payload with Edge-based capabilities in real-time.”

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