EventsThe 18th Advanced Infrared Technology and Applications (AITA2025)
Published
This submission belongs to the session Session10. Session 10 of the event The 18th Advanced Infrared Technology and Applications (AITA2025)
Published date
29 Aug, 2025
Academic Editor
author-avatarHirotsugu Inoue
Citation
Peter De Ieso, Accelerating Discoveries Through Effortless Fusing of High Quality Thermal and Visual Imagery, in Proceedings of The 18th Advanced Infrared Technology and Applications (AITA2025), Kobe, Hyogo, 15 September–19 September 2025, MDPI: Basel, Switzerland
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Accelerating Discoveries Through Effortless Fusing of High Quality Thermal and Visual Imagery

1. FLIR Systems Australia Pty Ltd, Australia
Abstract

Historically, researchers and engineers have faced the challenge of choosing between recording and analyzing visible-light or thermal data during testing. While visible-light imaging provides structural and contextual information, thermal data reveals heat signatures and thermal patterns. Attempting to capture both sets of data and manually align them spatially—or even more challenging, synchronize them temporally—has proven to be both inconsistent and time-consuming, often yielding more questions than answers.

The FLIR Multispectral Imaging Xperience (MIX) introduces a groundbreaking solution, empowering researchers and engineers to seamlessly analyze, interpret, and share complex thermal data with enhanced accuracy. By effortlessly blending thermal and visible-light imagery, the system captures and synchronizes high-speed data at over 1,000 frames per second. This integration ensures a single, cohesive dataset with precise spatial and temporal alignment—eliminating missed details and reducing uncertainties, ultimately providing comprehensive insights into fast-moving phenomena.

The presentation will outline the technical details of the FLIR MIX system and showcase how these purpose-built solutions are designed to synchronize high-speed thermal and visible-light imagery with precision, delivering the insights researchers need to push the boundaries of discovery.

Keywords
infrared imaging
multispectral
visible light
blending
data alignment
image fusion
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