intoPIX announces the availability of its JPEG XS and TicoRAW technologies powered by Lattice Semiconductor’s low power FPGA platforms and tailored specifically to meet the needs of the automotive industry.

At AutoSens, intoPIX will unveil its latest advancements in intelligent image compression for ADAS and autonomous vehicles. These technologies empower automotive engineers to meet the increasing data demands of next-generation perception systems [...]

intoPIX brings TicoRAW & JPEG XS to Lattice FPGAs, enabling high-performance, low-latency, and power-efficient imaging for medical, industrial, and vision applications.

By addressing critical challenges as the strategic shift from the traditional hardware-based solutions toward a new software-centric approach “The Software Defined Vehicle”, intoPIX empowers the development of next-generation automotive systems.

Meet intoPIX at CES2025: JPEG XS, TicoRAW, and TicoXS FIP, these technologies empower industries to achieve flawless image quality, energy efficiency, and ultra-low latency, while simplifying connectivity and supporting AI-perception-ready workflows.

At AutoSens, intoPIX will highlight its innovative JPEG XS and TicoRAW technologies, specifically designed for automotive applications. These solutions provide high-quality image processing with ultra-low latency and minimal power consumption, critical for ADAS and autonomous vehicles.

IntoPIX TicoXS and TicoRAW lightweight compression technologies meet ADAS requirements without compromising on latency, quality and complexity.

intoPIX offers RAW & XS technologies, specifically designed for automotive applications. These solutions enable high-quality image processing with ultra-low latency and minimal power consumption, essential for ADAS and autonomous vehicles.

intoPIX is set to captivate audiences at AutoSens 2023 in Brussels with its groundbreaking range of lightweight compression technologies and standards.

intoPIX is presenting its innovative image processing and compression solutions for human and machine vision at Embedded World 2023.