Pierre-Luc Beaubien, Senior Software developer at Au-Zone Technologies, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Beaubien demonstrates how the company's DeepView ML Toolkit was used to develop and train a CNN-based traffic sign recognition classifier, subsequently deployed on NXP’s i.MX8 with DeepViewRT, the hardware-accelerated RunTime

Árpád Takács, Outreach Scientist at AImotive, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Takács presents the company's self-driving ecosystem. He explains the key components of self-driving car development: aiDrive, a full-stack software; aiKit, a development toolkit for data handling, training and testing; and aiWare, a

Rafal Malewski, Head of the Graphics Technology Engineering Center at NXP Semiconductors, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Malewski demonstrates traffic sign recognition with neural networks. This embedded solution supports real-time vision and rendering. Its object recognition capabilities employ traditional segmentation along with a

Ali Ors, Director of R&D, ADAS at NXP Semiconductors, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Ors demonstrates a real-time CNN image classifier and pedestrian detection on NXP’s automotive-grade S32V234 ADAS vision processor. He demonstrates an optimized implementation of a convolutional neural network used to