Oct. 09, 2025 –
Mont-Saint-Guibert, Belgium – intoPIX, the leading provider of low-latency image and video compression, announces the availability of its JPEG XS and TicoRAW technologies on Lattice Semiconductor’s low power FPGA platforms –Avant™ and Nexus™– designed for automotive vision. The solution will be showcased at AutoSens Europe 2025.
This breakthrough enables Tier 1s and OEMs to integrate ultra-efficient image compression into ADAS and in-vehicle systems, delivering exceptional quality while minimizing bandwidth, power, and latency.
Lattice FPGAs are known for low power, small footprint and flexibility, making them ideal for applications such as surround view, driver monitoring, sensor fusion, and autonomous driving.
With intoPIX compression IP cores now available:
TicoRAW compresses sensor data at the source without debayering, reducing dataflow while preserving critical features for AI-based perception and safety.
JPEG XS ensures visually lossless quality with sub-millisecond latency. As an ISO standard, it enables reliable real-time video transmission while reducing implementation complexity.
Together, TicoRAW and JPEG XS cover the full pipeline from raw capture to video transport. Unlike traditional codecs, intoPIX delivers guaranteed low-latency, efficiency, and minimal complexity for next-generation vision architectures.
“By combining Lattice’s efficient FPGAs with our TicoRAW and JPEG XS technologies, we provide OEMs with a unique solution to scale performance while overcoming design constraints,” said Justine Hecq, Head of Automotive & Machine Vision at intoPIX.
Mark Hoopes, Sr. Director at Lattice, added: “Integrating intoPIX on Lattice FPGAs enables up to 10X bandwidth reduction per camera, easing interconnects and paving the way for more scalable, efficient architectures.”
intoPIX will showcase TicoRAW and JPEG XS running on Lattice FPGAs at AutoSens Europe, 7–9 October 2025, Palau de Congressos, Barcelona (Booth #327). Visitors will see how the solution redefines automotive pipelines, enabling high-resolution capture, ultra-low-latency transmission, and power-efficient edge processing toward smarter, safer vehicles.