Grinn ReneSOM-V2H is a tiny LGA SoM based on Renesas RZ/V2H processor for vision AI applications

Polish embedded systems company Grinn has recently introduced ReneSOM-V2H, a tiny vision AI SoM built around the Renesas RZ/V2H vision AI processor. Measuring just 42.6 x 37 mm, Grinn claims it is the world’s smallest module based on this specific Renesas MPU, and targets space-constrained Edge AI applications such as smart cameras, robotics, and industrial automation. The RZ/V2H SoC features a heterogeneous architecture with 4x Cortex-A55 cores, 2x Cortex-R8 cores, and 1x Cortex-M33 core, along with a DRP-AI3 accelerator with up to 8 TOPS. It supports LPDDR4 memory and eMMC storage, along with various connectivity options, including PCIe Gen3 (4-lane), USB 3.2, USB 2.0, and Gigabit Ethernet. It also provides four MIPI-CSI camera inputs and a MIPI-DSI display output for vision applications. Grinn ReneSOM-V2H specifications: SoC – Renesas RZ/V2H CPU/MCU cores 4x Arm Cortex-A55 cores up to 1.8 GHz 2x Cortex-R8 real-time cores up to 800 MHz Arm Cortex-M33 microcontroller core up [...] The post Grinn ReneSOM-V2H is a tiny LGA SoM based on Renesas RZ/V2H processor for vision AI applications appeared first on CNX Software - Embedded Systems News.