Teledyne FLIR launched enhanced detection & tracking software model Prism AI

  • Articles
  • Mar 29,23
Thermal imaging camera and sensor designer and producer, Teledyne FLIR launched new model of Prism AI which enables engineers to embed thermal automotive perception systems with advanced driver assistance systems (ADAS) and autonomous vehicle (AV) systems. It is trained and validated on more than 2.3M multi-spectrum annotations, and improves inference performance for perception development.
Teledyne FLIR launched enhanced detection & tracking software model Prism AI

Teledyne FLIR, part of Teledyne Technologies, announced a release of new Prism AI enabling perception engineers to quickly integrate thermal cameras for advanced driver assistance systems (ADAS) and autonomous vehicle (AV) systems. The new release features compact AI model for simplified deployment on embedded systems and has improved object tracking performance by up to 24 per cent 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, 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.

Developers may use Prism AI as the primary perception software or as reference software during in-house development. A suite of Prism AI tools provides simplified data integration with Teledyne FLIR Conservator™ data lifecycle management software as well as the industry’s largest thermal-and-visible training dataset. Prism AI also includes production-required features including authentication between the thermal camera and the electronic control unit, further simplifying development. With expert support from the Teledyne FLIR technical services team, perception engineers from academia to automotive OEMs now have a complete ecosystem to build thermal-enabled ADAS and AV systems.

Improving vehicle perception in all types of conditions is critical to reducing the record number of pedestrian fatalities. In the United States, preliminary data from the Governors Highway Safety Association estimated a 17 per cent increase in pedestrian fatalities in the first half of 2021 compared to the previous year and a 46 per cent jump from 2011. Thermal-enhanced ADAS and AV systems can play a crucial role in driving down the unacceptable number of pedestrian traffic fatalities and will aid automotive OEMs to meet upcoming regulatory testing procedures that include night time pedestrian front crash prevention.

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