Gauzy, a light and vision control technology company, has announced a new strategic partnership with edge AI semiconductor company, Ambarella, focusing on the benefits of implementing AI into ADAS and how they can, together, enhance road safety and redefine urban mobility.
By incorporating Ambarella’s CVflow AI SoC into the design of Gauzy’s AI-powered Smart Vision camera monitor system (CMS), the companies are ultimately aiming to ensure heightened road safety for commercial vehicle drivers. This CMS, itself, replaces traditional glass mirrors (side and/or rearview) with cameras mounted around the vehicle that include a live video stream to interior displays. These, in turn, allow the driver to see a wider view of their surroundings and reduce blind spots, which Gauzy says improves safety and visibility. The Gauzy solution, based on Ambarella’s CV2FS AI SoC, is already operational in Ford Trucks.
Based on Ambarella’s CVflow AI accelerator, the AI-powered Smart-Vision CMS features self-learning and predictive capabilities. These include adaptive maneuver lines that are displayed while a vehicle is in motion and during trailer calibration, to provide drivers with better visibility of their surroundings, while also offering the ability to quickly analyze large amounts of data and imagery to facilitate reduced latency and real-time visibility.
Moreover, the Smart-Vision system can automatically detect potential road hazards before they are encountered, reducing the risk of accidents or fatalities. The system’s high image quality also provides clear lines of sight across a wide variety of weather or lighting conditions, while the Smart-Vision CMS’s surveillance mode, that helps deters theft and vandalization, is compatible with various truck models and configurations, and can be easily integrated into existing fleets.
Among the biggest differentiators of the combined solution is its high-performance image processing capabilities. This helps to lower the amount of latency experienced and for activating vulnerable road user (VRU) detection, object classification, data recording and video streaming. Additionally, Ambarella’s CVflow AI SoC architecture enables Gauzy’s development teams to fine-tune various parameters, enhancing image quality alongside more accurate color and contrast representation, altogether minimizing driver fatigue.