Renesas' latest RZ/V2MA microprocessor includes acceleration engines for OpenCV and Deep Learning

Renesas’ latest RZ/V2MA microprocessor includes acceleration engines for OpenCV and Deep Learning

Renesas Electronics Corporation provides comprehensive semiconductor solutions that enable billions of connected smart devices to improve people’s work and lives. These solutions are based on trusted embedded design innovation. Renesas, a market leader in microcontrollers, analog, power and SoC technologies, offers complete solutions for a variety of automotive, industrial, home electronics, office automation and information and communication technology applications that help create of a limitless future.

Renesas unveiled a new chip called the RZ/V2MA microprocessor, designed with the Apache TVM compiler stack and intended to accelerate OpenCV and other machine learning workloads for low-power computer vision at the edge.

Two 64-bit Arm Cortex-A53 processor cores capable of operating at up to 1 GHz and a DRP-AI artificial intelligence co-processor with a computing capacity of one trillion operations per second (TOPS) per watt make up the new Renesas RZ/V2MA. This translates to a true 52fps performance for the TinyYoloV3 network.

The device has a Dynamically Reconfigurable Processor (DRP-AI) coprocessor and an accelerator designed to accelerate OpenCV workloads. Improves the performance of rules-based image processing, which can work simultaneously with networks powered by the DRP-AI.

Renesas’ DRP-AI TVM allows programs to be developed to run on the DRP-AI accelerator and one or both processor cores. It is built on the open source Apache TVM deep learning compiler stack. The company also provides DRP-AI Translator software, which offers conversion of ONNX and PyTorch models to run on the DRP-AI core, with TensorFlow support.

The DRP-AI TVM tool, according to Renesas partner amnimo, will provide “the latest in image recognition capabilities” for in-vehicle devices. (Amni: mnimo)

According to the study, one of the difficulties for embedded systems engineers who want to use machine learning is to keep up with the latest AI models, which are constantly evolving. Designers can now add the most modern image recognition capabilities to embedded devices using new AI models by expanding frameworks and AI models that can be translated into executable forms using the new DRP-AI TVM tool.

Additionally, the RZ/V2MA supports two lanes of PCI Express, up to 3.2 Gbps of LPDDR4 memory, USB 3.1 connectivity, and H.264 and H.265 video codecs. Renesas incorporated the chip into the reference design of the Vision AI Gateway solution, which integrates Ethernet, Wi-Fi, Bluetooth Low Energy (BLE), and LTE Cat-M1 cellular connectivity, to demonstrate its capabilities.



Asif Razzaq is an AI journalist and co-founder of Marktechpost, LLC. He is a visionary, entrepreneur and engineer who aspires to use the power of artificial intelligence for good.

Asif’s latest venture is the development of an artificial intelligence media platform (Marktechpost) that will revolutionize the way people can find relevant news related to artificial intelligence, data science and technology. machine learning.

Asif was featured by Onalytica in its ‘Who’s Who in AI? (Influential Voices & Brands)’ as one of the ‘Influential Journalists in AI’ ( His interview was also featured by Onalytica (

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