How to Optimize MWIR Performance and Computational Imaging to Simplify Integration

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In this insightful webinar hosted by Teledyne FLIR OEM, we explore the intricacies of applying computational imaging techniques and optimizing performance and Size, Weight, Power, and Cost (SWaP-C) in small pixel midwave infrared (MWIR) sensors.

This session will explore the latest design and software advancements, challenges, and trade-offs in OEM sensor integration. Julie Moreira, Principal Systems Design Engineer and Technical Lead, will provide a comprehensive analysis based on the findings from the paper "Small Pixel IR Sensors—Optimizing SWaP-C and Performance." Art Stout, Director of Product Management – AI Solutions, will detail the application of computational imaging techniques, including denoising, super resolution, turbulence mitigation, and more, to today’s leading MWIR systems.
Attendees will learn about the point of diminishing returns in SWaP-C and performance and receive recommendations to streamline the integration of optimal pixel pitch and embedded software for their IR systems.

This webinar is ideal for engineers, researchers, product managers, and anyone involved in the design, development, and application of IR sensors and thermal imaging systems. Whether you are looking to optimize your current systems or explore new opportunities in IR technology, this session will provide valuable insights and practical knowledge to reduce cost and time to market.

WEBINAR SPEAKERS

Julie Moreira, Principal Systems Design Engineer and Technical Lead at Teledyne FLIR OEM

Julie Moreira graduated with a B.S. in Electrical Engineering from the University of Texas at San Antonio and an M.S. in Electrical Engineering from the University of California at Santa Barbara. She has been with Teledyne FLIR (formerly FLIR) since 2011 and has worked as a Systems Engineer since 2013. She has developed various uncooled and cooled infrared camera cores, including Tau, Quark, Lepton, Neutrino LC, and Neutrino Integrated Solutions.

Art Stout, Director of Product Management - AI Solutions at Teledyne FLIR OEM

Art manages the digital products for the Teledyne FLIR OEM division, including computational imaging, perception, and autonomous operations software designed to extend the capabilities of the company's thermal imaging sensors. He has been with Teledyne FLIR (formerly FLIR) since 2010. Art has led the creation of the digital products business since 2018 and graduated from Rutgers University with a B.S. in Economics.

CHAPTERS

• 0:00 Introduction to Hosts
• 1:10 SWAP-C Optimization
• 3:30 Reducing Pixel Pitch Reduces Focal Length
• 4:35 Factors That Might Offset The Pixel Pitch Reduction Benefit
• 8:00 Specification of Typical 10X CZ Lens
• 10:35 Infrared System Cost
• 11:28 Infrared System DRI Performance
• 14:00 SWAP-C Optimization Summary
• 15:05 Prism Software Capabilities (ISP, Perception & Autonomy)
• 16:10 Prism Software and Supported Processors
• 18:30 Super Resolution, Denoise and ADE - Prism ISP
• 19:55 - Tuburlence Mitigation - Prism ISP
• 21:10 Combining ISP Filters to Improve Imaging Quality - Prism ISP
• 22:12 Video Stabilization - Prism ISP
• 22:47 Noise Reduction - Prism ISP
• 23:50 Impact of Denoising Video on Bandwidth - Prism ISP
• 24:55 FLIR MSX (Multi-Spectral Dynamic Imaging) - Prism ISP
• 26:03 Air to Ground Perception Model - Prism AI
• 26:52 Counter-UAS Perception Model - Prism AI
• 27:40 AI - Classification Ontology
• 28:57 Ground ISR with Fine Grain Classifier - Prism AI