From Hollywood to highways: How zero-latency video compression powers autonomous cars - We Talk IoT #78
Thu Jan 29 2026
In this episode, we explore how an Emmy Award-winning video codec is transforming industries far beyond the silver screen.
Dr. Siegfried Fößel from Fraunhofer IIS explains how JPEG XS – a compression standard designed for broadcast production – now enables breakthrough applications in autonomous vehicles, industrial automation, and remote healthcare.
With a latency of just 32 lines end-to-end and visual lossless quality, JPEG XS solves a critical challenge: how to process high-resolution video in real time without introducing delay. When autonomous cars need to analyse multiple camera feeds in real time, when factory robots require split-second reactions, or when surgeons control remote instruments, every millisecond matters.
Siegfried discusses the journey from keyboard-video-mouse extenders to ISO standardisation, the technology's adoption in sports broadcasting, and why tier-one automotive suppliers are testing it for sensor fusion. We explore how the codec integrates into FPGAs for embedded cameras, its constant bitrate advantage for IP transmission, and the future of AI-based video compression.
Tune in to discover how low-latency video compression unlocks applications that weren't possible before – and what's coming next in the race to process visual data faster.
#jpegxs #automotive #machinevinevision #healthcare #compression #fraunhofer #iot #wetalkiot
Summary of this week's episode:
01:30 What is JPEG XS and why it matters beyond broadcast
02:53 How JPEG XS differs from other codecs
03:39 The origin story: From KVM extender to ISO standard
05:00 The trade-off: Compression ratio vs latency
06:47 Autonomous vehicles: Processing 10 cameras without loss
08:27 Beyond self-driving: Electronic mirrors and driver monitoring
09:42 Industrial automation: Real-time quality control and robotics
11:25 Factory integration: FPGA IP cores and embedded cameras
12:53 ISO standardisation and software development kits
14:14 Healthcare applications: Edition 3's lossless approach
15:49 Remote surgery possibilities
18:50 Implementation advice: When to choose JPEG XS
20:33 Looking ahead: AI-based video codecs at 10 kbit/s
22:43 The constant bitrate advantage
Show notes:
Dr. Siegfried Fößel: https://www.linkedin.com/in/siegfried-foessel-a158574/
JPEG XS: https://www.iis.fraunhofer.de/en/ff/amm/content-production/jpegxs.html
Emmy Award announcement: https://www.iis.fraunhofer.de/en/pr/2025/pressrelease-emmy-jpegxs.html
Listen to the "We Talk IoT" Soundtrack on:
Spotify: https://open.spotify.com/playlist/05MOV4OV2MH2in2txsAGtG?si=ad08112cb8d443f4
YouTube: https://www.youtube.com/watch?v=D-NvQ6VJYtE&list=PLLqgVFfZhDRVYmpEqbgajzDvGL4kACRDp
About Avnet Silica:
This podcast is brought to you by Avnet Silica—the Engineers of Evolution.
Subscribe to our newsletters here: https://my.avnet.com/silica/resources/newsletter/
You can connect with us on LinkedIn: https://www.linkedin.com/company/silica-an-avnet-company/. Or find us at www.avnet-silica.com.
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In this episode, we explore how an Emmy Award-winning video codec is transforming industries far beyond the silver screen. Dr. Siegfried Fößel from Fraunhofer IIS explains how JPEG XS – a compression standard designed for broadcast production – now enables breakthrough applications in autonomous vehicles, industrial automation, and remote healthcare. With a latency of just 32 lines end-to-end and visual lossless quality, JPEG XS solves a critical challenge: how to process high-resolution video in real time without introducing delay. When autonomous cars need to analyse multiple camera feeds in real time, when factory robots require split-second reactions, or when surgeons control remote instruments, every millisecond matters. Siegfried discusses the journey from keyboard-video-mouse extenders to ISO standardisation, the technology's adoption in sports broadcasting, and why tier-one automotive suppliers are testing it for sensor fusion. We explore how the codec integrates into FPGAs for embedded cameras, its constant bitrate advantage for IP transmission, and the future of AI-based video compression. Tune in to discover how low-latency video compression unlocks applications that weren't possible before – and what's coming next in the race to process visual data faster. #jpegxs #automotive #machinevinevision #healthcare #compression #fraunhofer #iot #wetalkiot Summary of this week's episode: 01:30 What is JPEG XS and why it matters beyond broadcast 02:53 How JPEG XS differs from other codecs 03:39 The origin story: From KVM extender to ISO standard 05:00 The trade-off: Compression ratio vs latency 06:47 Autonomous vehicles: Processing 10 cameras without loss 08:27 Beyond self-driving: Electronic mirrors and driver monitoring 09:42 Industrial automation: Real-time quality control and robotics 11:25 Factory integration: FPGA IP cores and embedded cameras 12:53 ISO standardisation and software development kits 14:14 Healthcare applications: Edition 3's lossless approach 15:49 Remote surgery possibilities 18:50 Implementation advice: When to choose JPEG XS 20:33 Looking ahead: AI-based video codecs at 10 kbit/s 22:43 The constant bitrate advantage Show notes: Dr. Siegfried Fößel: https://www.linkedin.com/in/siegfried-foessel-a158574/ JPEG XS: https://www.iis.fraunhofer.de/en/ff/amm/content-production/jpegxs.html Emmy Award announcement: https://www.iis.fraunhofer.de/en/pr/2025/pressrelease-emmy-jpegxs.html Listen to the "We Talk IoT" Soundtrack on: Spotify: https://open.spotify.com/playlist/05MOV4OV2MH2in2txsAGtG?si=ad08112cb8d443f4 YouTube: https://www.youtube.com/watch?v=D-NvQ6VJYtE&list=PLLqgVFfZhDRVYmpEqbgajzDvGL4kACRDp About Avnet Silica: This podcast is brought to you by Avnet Silica—the Engineers of Evolution. Subscribe to our newsletters here: https://my.avnet.com/silica/resources/newsletter/ You can connect with us on LinkedIn: https://www.linkedin.com/company/silica-an-avnet-company/. Or find us at www.avnet-silica.com.