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NXP Semiconductors Demonstration of Deep Learning-based Multi-object Detection Using S32V234 Vision Processor

Ali Osman Ors, Director of AI Strategy and Partnerships for Automotive at NXP Semiconductors, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Ors demonstrates deep learning-based multi-object detection based on MobileNet and Single Shot Detector (SSD) running in real-time on the embedded automotive-grade S32V234 Vision SoC, with the capability of detecting multiple objects and classifying them into 80 different driving-related classes. The solution is built and optimized with NXP’s S32 algorithm libraries and end-to-end DNN/AI enablement framework and tools. For more information, visit www.nxp.com/S32V234.