Trained and validated on more than 2.3M multi-spectrum annotations, the new compact PrismTM AI model improves inference performance for perception development.

New Thermal by FLIR-Enabled Products Deliver Greater Flexibility and Accessibility with Connected Mobile Devices and Smart Building.

RealWear introduces Thermal Camera module for the Navigator series, while Ulefone debuts Power Armor 18T phone featuring the Lepton 3.5 thermal camera module.

Thanks to the efforts of engineers at the NASA Marshall Space Flight Center, the Teledyne FLIR Boson thermal camera module is ready to venture beyond the atmosphere.

RealWear’s innovative Thermal Camera module connects seamlessly with RealWear NavigatorTM Series headsets, includes radiometric FLIR Lepton^® and is the only device that supports MSX^® technology to enable frontline industrial professionals to conduct inspections, enhance remote support sessions and avoid equipment downtime using simple voice commands.

Latest ITAR-Free Neutrino IS series module offers best-in-industry performance and improved time-to-market for commercial, industrial, and defense applications.

PrismTM AI software for automotive thermal perception system development allows for faster integration, testing, and time-to-market.

Teledyne FLIR, part of Teledyne Technologies Incorporated, today announced the release of its high-performance Hadron 640R combined radiometric thermal and visible dual camera module. The Hadron 640R design is optimized for integration into unmanned aircraft systems (UAS), unmanned ground vehicles (UGV), robotic platforms, and emerging AI-ready applications where battery life and run time are mission critical.

Enhanced LWIR thermal performance with size, weight, and power (SWaP) leadership provides low-risk development for unmanned platforms, security applications, handhelds, wearables, and thermal sights

The data lifecycle management (DLM) application optimizes dataset development with access to an annotated infrared and visible library for neural network training and advanced model performance testing