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Microprocessor For AI Vision Applications

The microprocessor helps AI vision work with two cameras, uses less power, and supports traffic monitoring, inspections, and driver monitoring.

Renesas Launches New MPU for High-Volume Vision AI at Embedded World
Renesas Launches New MPU for High-Volume Vision AI at Embedded World

Renesas Electronics has introduced the RZ/V2N, a new microprocessor in its RZ/V Series, designed for AI-powered vision applications. Like the RZ/V2H, it includes Renesas’ AI accelerator, DRP-AI3, which offers processing power with up to 15 TOPS performance. With this addition, the RZ/V Series now ranges from the RZ/V2L (0.5 TOPS) to the RZ/V2H (up to 80 TOPS).

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The RZ/V2N is smaller than the RZ/V2H, with a 15 mm square design that reduces mounting space by 38%. It delivers AI performance while using less power, generating less heat, and removing the need for extra cooling. This makes it useful for AI cameras in traffic monitoring, industrial inspections, and driver monitoring systems.

The RZ/V2N includes four Arm Cortex-A55 CPU cores, a Cortex-M33 core, and a Mali-C55 image processor. It supports two cameras at the same time, allowing for spatial recognition in tasks like motion tracking and fall detection. This dual-camera setup also supports vehicle counting and license plate recognition in parking lots.

 “Since launching the RZ/V2H last year to target next-generation robotics requiring vision AI and real-time control, we have received tremendous interest in using the Renesas DRP-AI accelerator,” said Daryl Khoo, VP of Embedded Processing at Renesas. “With the addition of the RZ/V2N, sharing the same lineage as the RZ/V2H, we are extending our reach to address mid-range applications, particularly endpoint vision AI that does not need to be realized with power hungry designs. I am excited that our customers will be able to select the best AI MPU from Renesas that meets their system and budget requirements.” 

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 “Vision AI applications across markets including smart city, enterprise and industrial are broad and varied, but all demand sustained performance and efficient processing,” said Paul Williamson, senior vice president and general manager, IoT Line of Business at Arm. “Renesas’ new RZ/V2N MPU leverages the leading-edge capabilities of the Arm compute platform to deliver against the performance and efficiency needs of next generation vision AI use cases.”

Nidhi Agarwal
Nidhi Agarwal
Nidhi Agarwal is a Senior Technology Journalist at Electronics For You, specialising in embedded systems, development boards, and IoT cloud solutions. With a Master’s degree in Signal Processing, she combines strong technical knowledge with hands-on industry experience to deliver clear, insightful, and application-focused content. Nidhi began her career in engineering roles, working as a Product Engineer at Makerdemy, where she gained practical exposure to IoT systems, development platforms, and real-world implementation challenges. She has also worked as an IoT intern and robotics developer, building a solid foundation in hardware-software integration and emerging technologies. Before transitioning fully into technology journalism, she spent several years in academia as an Assistant Professor and Lecturer, teaching electronics and related subjects. This background reflects in her writing, which is structured, easy to understand, and highly educational for both students and professionals. At Electronics For You, Nidhi covers a wide range of topics including embedded development, cloud-connected devices, and next-generation electronics platforms. Her work focuses on simplifying complex technologies while maintaining technical accuracy, helping engineers, developers, and learners stay updated in a rapidly evolving ecosystem.

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