Renesas and Syntiant develop voice-controlled multimodal AI solution

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Renesas Electronics and Syntiant announced the joint development of a voice-controlled multimodal AI solution that enables low-power contactless operation for image processing in vision AI-based IoT and edge systems, such as self-checkout machines, security cameras, and video conference systems, and smart appliances such as robotic cleaning devices.

The new solution combines the Renesas RZ/V Series vision AI microprocessor unit (MPU) and the low-power multimodal, multi-feature Syntiant NDP120 Neural Decision Processor to deliver advanced voice and image processing capabilities. The joint solution features always-on functionality with quick voice-triggered activation from standby mode to perform object recognition, facial recognition, and other vision-based tasks that are critical functions in security cameras and other systems. For example, while user-defined voice cues drive activation and system operation, vision AI recognition tracks operator behavior and controls operation or issues a warning when suspicious actions are detected.

The multimodal architecture makes it easier to create contactless user experiences for vision AI-based systems. Using a dedicated, power-efficient chip for voice recognition reduces standby power consumption while speeding up system development because it is possible to develop software independently of the vision AI functionality.

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