USB 3.x: Enabling High-Performance Connectivity for Next-Generation Embedded Systems

Whitepaper: Infineon Technologies, in association with EBV Elektronik

As edge AI drives richer, higher-bandwidth sensor data, choosing the right interconnect has become a strategic design decision. This whitepaper from Infineon examines how USB 3.x compares with MIPI and Ethernet for embedded vision and sensor-rich systems.

Complete the form below to download your free copy of this whitepaper.

    I agree that my personal data stated above may be shared with and processed by EBV Elektronik, providing me with newsletters and further marketing information about products, services & events from EBV Elektronik, as well as its licensed supplier partners, by email and/or telephone, and transmitting my data for sales support purposes via email and/or telephone. I can withdraw my consent at any time. Please find further details here in the privacy and data protection policy of EBV Elektronik.

    I agree that my personal data, which I submit to Infineon may be shared with and processed by Infineon for marketing purposes. This means that I may be contacted by Infineon via email and phone to provide me with marketing information about Infineon products, services & events based on my subscriptions & interactions, to perform surveys, and to improve my experience using data analytics, existing Social Media profiles and associated tools. I additionally agree to Infineon transmitting my data to its licensed distributors & partners for contact regarding sales support matters via email and phone. I can revoke my consent any time. Please visit Infineon’s Privacy Policy for more information.

    This whitepaper from Infineon, presented with EBV Elektronik, explores where USB 3.x fits alongside MIPI CSI-2, GMSL and 10 Gbit Ethernet, and why its combination of speed, market maturity and cost-effectiveness makes it a viable option for next-generation embedded designs.

    The paper also looks in detail at Infineon’s EZ-USB FX10 peripheral controller, including its architecture, autonomous data movement and security features, and how it supports compliance with regulations such as the EU Cyber Resilience Act.

    Key Takeaways

    • Edge AI is generating richer, feature-heavy data that must be moved efficiently from sensors to processors
    • Every interface involves trade-offs, and understanding them is essential to choosing the right one
    • Real-time performance depends on low-latency data transport
    • USB offers a strong balance of speed, maturity and cost-effectiveness

    Who Should Read This

    Embedded systems engineers, vision system designers, robotics and automation engineers, automotive and transport engineers, medical device designers, and technical managers evaluating high-speed interconnect options for sensor-rich, AI-enabled products.

    Complete the short form above to access the whitepaper.