At its booth (1-234) at theembedded world 2023, in Nuremberg from March 14 to 16, Renesas will present live the first implementations of artificial intelligence (AI) and machine learning (ML) on a microcontroller based on the Arm® Cortex®-M85 processor. The demonstrations will highlight the increased performance in AI and ML applications made possible precisely by the new Arm Cortex-M85 core and Helium technology also from Arm.
"We are proud to again lead the industry in implementing the powerful new Arm Cortex-M85 processor with Helium technology," said Roger Wendelken, senior vice president of Renesas' IoT and Infrastructure BU. "By showcasing AI performance on the new processor, we highlight the technical advantages of the new platform and at the same time demonstrate Renesas' strengths in delivering solutions for emerging applications with our innovative ecosystem partners."
Renesas supplies more than 3.5 billion microcontrollers a year half of which are used in the automotive field and the other half in other applications such as industrial, IoT, infrastructure and communication, building automation and metering, and more.
Demos
The first application example demonstrates a people detection application developed in collaboration with Plumerai, a leader in Vision AI, that identifies and tracks people framed by the camera under varying environmental and lighting conditions. The compact and efficient TinyML models used in this application lead to low-cost, low-power AI solutions for a wide range of IoT implementations.
"We are excited to take part in this groundbreaking demonstration," said Roeland Nusselder, Ceo of Plumerai. "Arm's Helium technology supported on the new RA MCUs with the Cortex M85 core significantly accelerates the Plumerai inference engine. This performance increase will enable our customers to use larger and more accurate versions of Plumerai's people-detection artificial intelligence, add additional product features, and extend battery life. Our customers have an insatiable appetite for adding new and more accurate AI features that run on a microcontroller. Together with Renesas, we are the first to meet this demand."
The second demo presents a use case of predictive motor control maintenance with an artificial intelligence-based unbalanced load detection application using Tensorflow Lite for microcontrollers with CMSIS-NN.
Renesas microcontroller offerings with the new Arm processor
Renesas will implement the new Arm processor within its Renesas Advanced (RA) family of MCUs. The new RA MCUS based on the Cortex-M85 core will be supported by Renesas' Flexible Software Package (FSP). The FSP enables faster application development by providing all the necessary infrastructure software, including multiple RTOS, BSPs, peripheral drivers, middleware, connectivity, networking and security stacks, as well as reference software to create complex artificial intelligence, motor control and graphics solutions. In addition, Renesas will combine the new RA MCUs with numerous compatible devices from its portfolio. These combinations are technically controlled system architectures of mutually compatible devices that work together seamlessly to deliver optimized, low-risk designs for faster time-to-market. Renesas offers more than 300 winning combinations.
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