Renesas Electronics Corporation has extended its AI-capable RZ/V Series of MPUs with a new device that offers AI processing of image data from multiple cameras, providing a new level of highly accurate image recognition for vision AI applications. Equipped with two 64-bit Arm Cortex-A53 cores, the new device can deliver high computing performance with a maximum operating frequency of 1GHz. It provides a proprietary low power DRP-AI accelerator which can process vision AI at 1TOPS/W class performance.
The device provides high-speed interfaces such as Ethernet, USB, and PCI Express that enable image input from multiple external cameras. As well as the DRP-AI accelerator, it includes an OpenCV accelerator that enables rule-based image processing simultaneously. These features bring extremely accurate image recognition abilities to machine vision products, including AI-equipped gateways, security gates, video servers, POS terminals and robotic arms.
"One of the challenges for embedded systems developers who want to implement machine learning is to keep up with the latest AI models that are constantly evolving,” said Shigeki Kato, vice president of Renesas' Enterprise Infrastructure Business Division. “With the new DRP-AI TVM tool, we are offering designers the option to expand AI frameworks and AI models that can be converted to executable formats, allowing them to bring the latest image recognition capabilities to embedded devices using new AI models.”
"Renesas' RZ/V series is ideal for embedded devices since it does not need fans or heat sinks, due to its extremely low power consumption and low heat capability 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. “With these devices, we are confident that we can develop powerful image AI gateways that can be installed anywhere."
