New software enhances UAS autonomous capabilities

10-02-2025 | Teledyne FLIR | Test & Measurement

Teledyne FLIR OEM, part of Teledyne Technologies Incorporated, has announced the release of Prism Supervisor, the latest addition to its Prism embedded software ecosystem. Prism Supervisor integrates drone autopilot flight control systems with real-time, AI-based observations at the edge to enhance mission safety, efficiency, and performance, enhancing the capabilities of UAS (unmanned aircraft systems).

The software empowers mission planners with a flexible programming framework and SDK to enable custom, intricate mission scenarios. During flight, it adapts its autopilot functionality in real-time, dynamically generating mission segments and flight plans on the fly, minimising operator impact while improving mission success. For example, a Prism Supervisor-controlled UAV flying a search mission pattern can autonomously circle and alert the operator upon the detection of a human or threat.

"From behaviour and mission planning to dynamically adjusting in-flight operations, Prism Supervisor represents a significant advancement for drone autonomy through AI," said Dan Walker, vice president of Product Management at Teledyne FLIR. "It improves operational performance via single-click missions, opening up new possibilities for UAS operation from commercial to defence use cases."

The software simplifies the operator experience with a user-friendly GUI for mission planning, real-time mission visualisation, and execution. Available for desktop or mobile deployment supporting Windows, Linux, macOS, iOS, and Android, the supervised mission management application streams and records detailed, full-frame-rate video, path visualisation, and metadata. It can facilitate collaborative behaviours and synchronised mission execution among multiple UAVs.

Prism Supervisor expands the company's Prism digital ecosystem of advanced AI and image processing. It provides a platform for deploying object detection, tracking, and computational imaging on low-power processors, improving UAS mission performance and lowering development costs.

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By Seb Springall

Seb Springall is a seasoned editor at Electropages, specialising in the product news sections. With a keen eye for the latest advancements in the tech industry, Seb curates and oversees content that highlights cutting-edge technologies and market trends.