Cristian Ionescu-Catrina, Senior Marketing Manager for the Home Segment at Renesas, demonstrates the company's latest embedded vision technologies and products at the January 2018 Consumer Electronics Show. Specifically, Ionescu-Catrina demonstrates how embedded vision can be implemented in a real home appliance via convolutional neural networks.
The refrigerator being demonstrated performs two separate vision algorithms: one for user identification using the front camera, and the other for refrigerator content identification using the internal camera. It runs on the dual-core ARM Cortex-A15 Renesas RZ/G1 MPU with NEON acceleration. Renesas RZ/G1 Series microprocessors (MPUs) give you the fast path to implement computer vision in your embedded industrial, medical, and consumer applications.
RZG Key Features:
- Rich 3D graphics and high-performance video codecs for engaging GUIs
- Improved safety, security, and intelligence through real-time face and object identification
- Advanced human-machine interaction via systems that understand their environment
