Renesas and Syntiant have joined forces to enable low-power, voice-controlled operation of embedded vision AI systems in IoT and edge applications. The reference design combines the Renesas
vision AI microprocessor and the multimodal Syntiant
neural decision processor. Together, they bring always-on functionality with quick voice-triggered activation from standby mode to perform object recognition, facial recognition, and other vision-based tasks.
The multimodal architecture allows the creation of contactless user experiences for vision AI-based systems, such as self-checkout machines, security cameras, and smart appliances. Using a dedicated, power-efficient chip for voice recognition reduces standby power consumption. And it is possible to develop software independently of the vision AI functionality.
The Renesas RZ/V2M microprocessor employs a dynamically reconfigurable AI accelerator that achieves high AI inference performance and an image signal processor that supports 4k 30 frames/s. Its power efficiency eliminates the need for heat dispersion measures, such as heat sinks and cooling fans. Syntiant’s NDP120 chip is a special-purpose processor for deep learning. Packaged with the Core 2 neural network inference engine, the NDP120 can run multiple applications simultaneously, while minimizing power consumption to 1 mW of battery power.
The voice-controlled multimodal AI reference design is available now, including circuit diagrams and bill of materials.
Reference design product page
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