Enhanced Teledyne FLIR Prism AI Detection and tracking software model enables embedded thermal automotive perception systems


Teledyne FLIR have announced a new Prism AI release featuring a compact AI model for simplified deployment on embedded systems.

The new release further enables perception engineers to quickly integrate thermal cameras for advanced driver assistance systems (ADAS) and autonomous vehicle (AV) systems, improving object tracking performance by up to 24 percent compared to the previous Prism AI release.

“The improved Prism AI software model enables embedded system testing and development, empowering perception engineers to create more effective systems easier than ever before with thermal capabilities,” said Michael Walters, vice president of product management, Teledyne FLIR. “As the Teledyne FLIR AI ecosystem and tools continue to expand, we can offer integrators an unparalleled route to quickly test and decrease development costs for life-saving thermal-enabled ADAS or AV.”

Built for automotive perception system developers, Prism AI is a collaborative ecosystem providing seven object detection classes, visible-and-thermal image fusion, advanced thermal image processing capabilities, new shadow mode recording capabilities, batch data ingestion, and more.

Together these features simplify the integration of automotive thermal sensors that provide superior pedestrian, animal, and vehicle detection, especially at night and in poor visibility.


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