Tag: MYIR

MYIR has launched a powerful and compact ARM+FPGA SoM MYC-JX8MMA7 CPU Module using NXP i.MX 8M Mini quad-core ARM Cortex-A53 plus 400MHz Cortex-M4 processor and Xilinx XC7A25T Artix-7 FPGA. The module takes full advantage of the ARM MPU to provide the powerful multimedia capability for...

MYIR introduces a cost-effective MYC-YT507H CPU Module powered by ALLWINNER’s T507-H industrial processor which among Allwinner T5 series with a 1.5GHz quad-core Cortex-A53 CPU and a Mali-G31 MP2 GPU. The module is ready to run Linux OS and targets a wide variety of applications like...

After the former release of NXP i.MX 8M based MYC-JX8MX and i.MX 8M Mini based MYC-C8MMX System-on-Modules, MYIR has launched another advanced SoM MYC-JX8MPQ based on quad Arm Cortex-A53/M7 i.MX 8M Plus processor which is NXP’s first i.MX processor with a built-in 2.3 TOPS Neural...

We have seen many system on modules in the market already targeting consumer electronics and smart homes. For newbies, a system on module is an embedded computer that can be plugged in or soldered with the carrier board. China-based MYIR has launched the MYC-YA15XC-T CPU module that is...

MYIR introduces the VECP Starter Kit, a complete Vision Edge Computing Platform designed to support excellent image processing for typical applications like Machine Vision, Industry, IoT, Medical and more others in different areas of business and everyday life. The VECP Starter Kit...

MYIR has released a highly-integrated NXP i.MX 8M Mini based single board computer MYS-8MMX, which is capable of running Linux operating system based on Yocto 3.0 or Ubuntu 18.04. Measuring only 95mm by 69mm, the tiny board takes full features of the quad-core ARM Cortex-A53 plus...

MYIR introduces FZ5 EdgeBoard AI Box which is a rugged and fanless AI (Artificial intelligence) edge computing box with a built-in FZ5 AI Accelerator Card. The AI Box is based on Xilinx Zynq UltraScale+ ZU5EV MPSoC which features a 1.5 GHz quad-core ARM Cortex-A53 64-bit application...

MYIR introduces a powerful FZ3 Card for deep learning. Built around the Xilinx Zynq UltraScale+ ZU3EG MPSoC, with Computing Power up to 1.2TOPS and MobileNet up to 100FPS, the FZ3 Card is an ideal machine learning hardware for developers to develop, validate or just directly integrate...