Tessolve’s New SMARC Module Powers AI in Robotics and Transportation

robotics lagging AI

Tessolve, a global silicon and systems solutions provider, has collaborated with Renesas to introduce a new SMARC module based on Renesas’s high-performance RZ/V2H MPU.

The technology collaboration aims to deliver a ready-to-integrate system on module and computer vision system solution for OEMs, streamlining the product realisation cycle.

SMARC SOM Features

The SMARC SOM, compatible with SMARC standard 2.1 version, incorporates four Arm Cortex-A55 CPU cores, two Cortex-R8 cores, one Cortex-M33, and a dedicated AI Accelerator: DRP-AI3 capable of 8 TOPS/dense and 80 TOPS/sparse.

The module runs on Yocto Linux and supports up to 16GB Low power DDR4 RAM and up to 64GB flash. It also features high-speed interfaces, including PCIe, USB 3.2, SDIO, MIPI CSI, MIPI DSI, and Gigabit Ethernet, and is available in Industrial temperature grade.

Efficient Management of Vision AI and Real-Time Control Tasks

Combining these powerful cores enables efficient management of vision AI and real-time control tasks. With lower power consumption and eliminating the need for fans and other cooling components, the RZ/V2H is an ideal solution for autonomous robots, smart cameras, and machine vision in factory automation.

“Tessolve’s SMARC SOM, based on Renesas RZ/V2H MPU, aims to deliver an AI-powered computer vision system with a 360° surround view solution to the Industrial, robotics, and transportation markets, accelerating OEMs’ time to market,” said Kiran Kumar Nagendra, AVP-Embedded Systems, Tessolve.

“The computer vision system solution supports up to 4 camera inputs, enabling 360° surround view capabilities, making it ideal for demanding applications with AI requirements of the future,” he added.

Tessolve’s system solution can be adopted by OEMs either ‘as is’ or can be customised for their needs. The company also accelerates OEMs’ time to market with exceptional ODM abilities, offering white labelling.

The post Tessolve’s New SMARC Module Powers AI in Robotics and Transportation appeared first on Analytics India Magazine.

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