Renesas Electronics announced a new RZ/V2MA device capable of processing image data from multiple cameras, further expanding its RZ/V series microprocessor (MPU) product line and bringing a new level of high-precision images to vision AI applications Recognition ability. The new device integrates two 64-bit Arm Cortex-A53 cores, capable of delivering high computing performance at a maximum operating frequency of 1GHz; with a proprietary low-power DRP-AI (dynamically reconfigurable processor) accelerator that can Process image data at 1 TOPS/W (million operations per second per watt) level.
RZ/V2MA devices are equipped with high-speed interfaces such as Ethernet, USB and PCI Express, allowing image input from multiple external cameras. In addition to the DRP-AI accelerator, RZ/V2MA also includes an OpenCV accelerator to perform rule-based image processing simultaneously. These functions enable machine vision products such as AI gateways, video servers, security doors, POS terminals, and robotic arms to obtain high-precision image recognition capabilities.
The new RZ/V2MA comes with a complete set of development tools to assist in the design of visual AI systems. In addition to the existing DRP-AI Translator, the new device also adds DRP-AI TVM (Note 2) based on the open source deep learning compiler Apache TVM technology (Note 1). The DRP AI Translator is designed to convert AI models into DRP-AI executables, while the DRP-AI TVM Compiler lets the DRP-AI accelerator work with the CPU, enabling DRP-AI to convert and generate more AI models than ever before . Renesas provides support for ONNX and PyTorch AI models for the first phase of industry development, and plans to support Tensorflow in the future.
"One of the challenges for embedded system developers who want to implement machine learning is how to keep up with the latest AI models that are constantly evolving," said Shigeki Kato, vice president of the Enterprise Infrastructure Business Unit at Renesas Electronics. With the new DRP-AI TVM tool, Renesas brings designers the option of extending AI frameworks and AI models that can be converted into executable formats, enabling them to leverage the new AI models to build cutting-edge AI models for embedded devices Image recognition capabilities."
"The Renesas RZ/V series is ideal for embedded devices. It generates very low power consumption when running AI," said Chiharu Nakabayashi, president of amnimo Inc., a provider of IoT and AI-based services and a wholly-owned subsidiary of Yokogawa Electric Corporation. Power consumption and heat, so no fans or heat sinks are required. With these devices, we are confident that we can develop a powerful image AI gateway that can be installed in any setting.”
