From Hollywood to highways: How zero-latency video compression powers autonomous cars

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:

What is JPEG XS and why it matters beyond broadcast

How JPEG XS differs from other codecs

The origin story: From KVM extender to ISO standard

The trade-off: Compression ratio vs latency

Autonomous vehicles: Processing 10 cameras without loss

Beyond self-driving: Electronic mirrors and driver monitoring

Industrial automation: Real-time quality control and robotics

Factory integration: FPGA IP cores and embedded cameras

ISO standardisation and software development kits

Healthcare applications: Edition 3's lossless approach