New software stack combines AI, thermal imaging, and computational imaging to improve ground-based intelligence, surveillance, and reconnaissance
Teledyne FLIR OEM has introduced Prism™ Ground ISR, a new AI-powered software stack designed to improve ground-based intelligence, surveillance, and reconnaissance (ISR) missions. The new release extends the company’s Prism software family beyond counter-drone applications and brings advanced target detection, tracking, and military vehicle classification to ground-based security platforms.
The announcement follows Teledyne FLIR OEM’s recent launch of Prism C-UAS, which applies artificial intelligence and computational imaging to detect and track small unmanned aircraft. With Prism Ground ISR, the company applies many of the same technologies to ground surveillance missions, including border security, force protection, and critical infrastructure defense.
Building on the Prism Platform
Prism Ground ISR combines visible and thermal infrared imagery with AI-based perception software to help operators detect, classify, and track targets in complex environments.
According to the company, the software supports fine-grained military vehicle classification while reducing false alarms caused by cluttered scenes. The platform also uses computational imaging techniques such as turbulence mitigation, dehazing, and super-resolution to improve image quality and extend effective detection ranges.
“Just as Prism C-UAS transformed how we detect small, fast-moving drones, Prism Ground ISR marks a significant advancement in ground-based AI target recognition,” said Jared Faraudo, Vice President of Product Management at Teledyne FLIR OEM. “By integrating visible and infrared thermal data, including fine-grained military vehicle classification, we are turning raw data into a decisive tactical advantage.”
The software separates target acquisition and tracking into dedicated processing pipelines. This approach helps maintain tracks on small, fast-moving, or maneuvering objects while improving overall target persistence.
Teledyne FLIR OEM says Prism Ground ISR arrives preconfigured to recognize up to 15 object classes. Users can expand those capabilities through the company’s Prism AIMMGen™ synthetic data platform as mission needs change.
Designed for Rapid Deployment
The company designed Prism Ground ISR to simplify integration into existing defense and security systems.
The software runs on NVIDIA Orin NX and AGX embedded computing platforms and supports Teledyne FLIR OEM’s Boson+ and Neutrino thermal camera families, including continuous zoom models. It also works with selected third-party electro-optical and infrared sensors, allowing developers to build multi-sensor surveillance systems.
An accompanying software development kit (SDK) aims to reduce integration time while helping developers deploy new capabilities more quickly.
For system integrators, compatibility with both Teledyne FLIR OEM sensors and selected third-party hardware offers greater flexibility when upgrading existing ISR platforms rather than designing entirely new systems.
Continuing Expansion of AI-Based Imaging
The launch reflects Teledyne FLIR OEM’s continued investment in software that adds intelligence to thermal imaging hardware.
The company has steadily expanded its OEM offerings beyond infrared camera modules. Recent releases have included AI-enabled software, synthetic data generation tools, and edge processing capabilities that help customers build complete perception systems for defense and autonomous platforms.
Earlier this month, Teledyne FLIR OEM introduction of the Prism C-UAS software stack, which brought AI-driven detection and tracking to counter-drone missions. The company has also continued to expand its thermal imaging portfolio, including the recent Boson®+ SX8 longwave infrared camera module designed for long-range detection in size, weight, and power constrained platforms.
Prism Ground ISR extends that strategy into ground surveillance by combining thermal sensing, visible imaging, computational imaging, and AI-based target recognition in a single software platform.
According to Teledyne FLIR OEM, the software is trained using both real-world and synthetic electro-optical and infrared datasets. This approach allows the AI models to recognize a wider range of military vehicles and other targets while supporting future expansion as operational requirements evolve.
Prism Ground ISR is available now as part of the Prism software family for defense and security applications.
Read more:
- Teledyne FLIR OEM Launches Prism Software to Detect Small Drones at Longer Range
- Teledyne FLIR OEM Upgrades Prism SKR Software for Autonomous Target Recognition
- Teledyne FLIR Releases Prism™ Supervisor Software to Enhance Drone Autonomy
Miriam McNabb is the Editor-in-Chief of DRONELIFE and CEO of JobForDrones, a professional drone services marketplace, and a fascinated observer of the emerging drone industry and the regulatory environment for drones. Miriam has penned over 3,000 articles focused on the commercial drone space and is an international speaker and recognized figure in the industry. Miriam has a degree from the University of Chicago and over 20 years of experience in high tech sales and marketing for new technologies.
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The integration of AI to enhance target classification in ground ISR operations could really change the game for military effectiveness. I’m curious about how this will enhance decision-making in critical scenarios. Looking forward to seeing the results in action. this resource
The combination of AI with thermal and computational imaging in the new Prism Ground ISR software seems like a significant advancement for military operations. It’ll be interesting to see how effective this technology is in real-world scenarios. this resource