New MIPI Standard Enhances AI Vision via USB Type-C

Innodisk, a leading provider of industrial-grade storage and memory solutions, has recently introduced the industry's first MIPI over Type-C implementation. This innovative technology allows for running MIPI over USB Type C, effectively overcoming the traditional limitations on cable lengths. With this advancement, embedded camera modules can now be positioned farther from the system, extending the reach up to 2 meters.

The Innodisk MIPI over Type-C implementation marks a significant breakthrough by extending the connection distance to 2 meters or more. This surpasses the previous 30 cm cable length limitation, offering greater flexibility in system design. The seamless conversion to a custom USB Type-C interface through a tailor-made adapter board also provides a cost-effective solution compared to traditional SerDes solutions.

One of the key advantages of the Innodisk design is its ability to expand the possibilities for visual AI applications, particularly in industries such as smart manufacturing and smart cities. This technology enables the seamless integration of high-quality vision systems into these evolving environments, paving the way for enhanced automation and efficiency.

The growing demand for vision-based applications across various industries underscores the critical need for reliable camera solutions. As computer vision plays an increasingly vital role in AI development, industrial-grade cameras have become essential components for many applications. Innodisk's MIPI over USB Type C connectivity has been successfully deployed on leading platforms such as Nvidia's Jetson, Intel x86, and ARM, showcasing its versatility and compatibility.

Innodisk is actively investing in research and development to ensure ongoing compatibility across a wide range of platforms, thereby accelerating the deployment of edge AI applications for clients. The company's USB Type C camera modules are widely utilized in smart applications such as Autonomous Mobile Robots (AMRs) and forklifts, where high-quality imaging and extended reach are crucial for operational efficiency and safety. Additionally, shared mobility applications like shared bikes leverage these camera modules to enhance safety and overall user experience.