tinyML Summit 2022: NDP200 tinyML Vision Processing
tinyML Summit 2022
tinyML Vision
NDP200 tinyML Vision Processing
Dave GARRETT, Chief Architect, Syntiant
The Syntiant NDP200 is a special-purpose neural decision processor for deep learning and is ideal for always-on applications in battery-powered devices. The NDP200 applies neural processing to run multiple applications simultaneously with minimal battery power consumption. Built using the Syntiant Core 2™ programmable deep learning architecture, NDP200 is designed to natively run a variety of deep neural networks (DNN), such as CNN, RNN, and fully connected networks, and it performs vision processing with highly accurate inference at under 1mW. With support of up to 900k 8-bit parameters, a direct DVP image interface, SPI + I2C peripheral controllers, the NDP200 enables ultra-low-power vision, sensor and speech interfaces in battery-powered systems and supporting always-on person presence detection and object classification use cases. The talk will show several use cases on the NDP9200 development board, jointly developed with PixArt, that includes an NDP200 neural decision processor, as well as the PAG7920 image sensor on a Raspberry Pi platform.
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