Renesas Electronics Corporation and Syntiant Corp. 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. The new voice-controlled multimodal AI solution uses multiple mutually compatible devices from the broader Renesas portfolio to provide customers an elevated prototyping platform for faster time to market and reduced risk. The new solution is part of Renesas Winning Combinations, which feature compelling analog, power, and embedded processing product combinations that help customers accelerate their designs and get to market faster. Availability: The reference design for the new multimodal AI solution is available now, including circuit diagrams and BOM lists.