Engicam has launched a new System-on-Module (SOM) called the TIA RZ/V2H that is based on the high-performance processor of the Renesas RZ/V2H. It is created to be used in highly challenging purposes such as machine vision, autonomous robots and factory automation. According to the manufacturer, this module is still “under development” but already targets high-end use-cases.
We have previously covered other SoMs, including the TechNexion AIOM-SL2610, the Calixto Systems i.MX93 VERSA, the Forlinx FET3506J-C, and others. For your reference, you must check those out.
TIA RZ/V2H SoM Specifications:
The core of the module is the RZ/V2H processor that consists of a combination of cores and accelerators. It is equipped with 4 ARM Cortex-A55 with its maximum frequency of 1.8 GHz, two ARM Cortex-R8 with a maximum frequency of 800 MHz and a Cortex-M33 with a maximum frequency of 200 MHz. Also, it has an artificial intelligence accelerator, known as DRP-AI3, with 8 TOPS in dense mode and 80 TOPS in sparse mode and Mali-G31 graphics processor (GE3D) as well as Mali-C55 instruction processor. This implies that the module is prepared to process real-time images, AI inference and intensive graphics functions.
LPDDR4X has a memory side with a memory speed of 3200MT/s, with 8 GB up to 16GB memory support. There is on-board storage, which includes an 8 GB up to eMMC. In the case of video and vision, the module supports DSI, H.265/H.264 decode and encode (i.e. 3840 2160 at 30fps H.265) and supports multiple camera interfaces, such as 4-lane MIPI-CSI. On connectivity and I/O, it provides 1 Gb Ethernet, USB OTG, USB2, two USB3 ports, PCIe, audio I2S, UART, SPI, I2C, CAN, GPIOs, etc.
The module is compact in size: it measures only 35 x 55 mm. Since it is intended to be used in industry, it has a range of operating temperatures between -40 o C up to +85 °C (including up to +125 o C at the junction of the CPU), thus allowing it to be utilised in severe environments. A single 5 V input is used as its power supply, making it easy to incorporate.
Software support:
TIA RZ/ V2H module is compatible with Linux through the BSP supplied by Engicam and application-level drivers built against it with support for its CPU cores, AI accelerator, and GPU, as well as all major interfaces. It also facilitates Yocto-based builds, and in this way, developers are able to customise their own OS images. Renesas tools for AI development, including DRP-AI libraries and SDKs, are also supported, helping you run and optimise AI models directly on the module.
Price and availability:
At the time of writing, the Engicam TIA RZ/V2H SoM is still marked as “under development,” so the company has not released any official pricing yet. Since it isn’t available for direct purchase, Engicam recommends contacting their sales team through the “Request Info” option to check availability, sample timelines, or get a custom quote. At this stage, availability is limited and mainly intended for early evaluation or project discussions rather than general retail purchase.
Niladri Chowdhury