Teledyne FLIR OEM Enhances Prism AI Platform with Ground ISR Software for Military Targeting
Teledyne FLIR OEM Launches AI-Powered Software for Ground ISR
Teledyne FLIR OEM has unveiled Prism™ Ground ISR, a new software stack that utilizes artificial intelligence to enhance ground-based intelligence, surveillance, and reconnaissance (ISR) missions. This release expands the capabilities of the company’s Prism software family, previously focused on counter-drone applications, to include advanced target detection, tracking, and military vehicle classification for ground security platforms.
Technological Advancements in Ground Surveillance
The introduction of Prism Ground ISR follows the recent launch of Prism C-UAS, which employs AI and computational imaging to identify and track small unmanned aircraft. The new software applies similar technologies to ground surveillance operations, including border security, force protection, and the defense of critical infrastructure.
Integration of AI and Imaging Techniques
Prism Ground ISR merges visible and thermal infrared imagery with AI-based perception software, enabling operators to detect, classify, and track targets in complex environments. The software is designed to enhance military vehicle classification while minimizing false alarms from cluttered scenes. It employs computational imaging techniques such as turbulence mitigation, dehazing, and super-resolution to improve image quality and extend effective detection ranges.
Target Acquisition and Tracking
The software features dedicated processing pipelines for target acquisition and tracking, which helps maintain tracking on small, fast-moving, or maneuvering objects while improving overall target persistence. Prism Ground ISR is preconfigured to recognize up to 15 object classes, with the option for users to expand these capabilities through the Prism AIMMGen™ synthetic data platform as mission requirements evolve.
Rapid Deployment and Integration
Prism Ground ISR is designed for easy integration into existing defense and security systems. The software operates on NVIDIA Orin NX and AGX embedded computing platforms and is compatible with Teledyne FLIR OEM’s Boson+ and Neutrino thermal camera families, including continuous zoom models. It also supports selected third-party electro-optical and infrared sensors, facilitating the development of multi-sensor surveillance systems.
Software Development Kit
An accompanying software development kit (SDK) aims to streamline integration processes and enable developers to deploy new capabilities more efficiently. This compatibility with both Teledyne FLIR OEM sensors and selected third-party hardware provides system integrators with greater flexibility when upgrading existing ISR platforms.
Ongoing Commitment to AI-Based Imaging Solutions
The launch of Prism Ground ISR underscores Teledyne FLIR OEM’s commitment to enhancing thermal imaging hardware with intelligent software solutions. The company has progressively expanded its offerings beyond infrared camera modules, introducing AI-enabled software, synthetic data generation tools, and edge processing capabilities that assist customers in creating comprehensive perception systems for defense and autonomous applications.
Earlier this month, the introduction of the Prism C-UAS software stack marked a significant advancement in AI-driven detection and tracking for counter-drone missions. Additionally, Teledyne FLIR OEM has broadened 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 represents a strategic extension of these efforts into ground surveillance by integrating thermal sensing, visible imaging, computational imaging, and AI-based target recognition into a unified software platform. The software is trained using both real-world and synthetic electro-optical and infrared datasets, enabling AI models to recognize a diverse range of military vehicles and other targets while supporting future adaptability as operational needs change.