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Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Firefly AIO-3562JQ – A Rockchip RK3562 SBC for industrial applications with isolated I/Os, RS485, RS232, and more

Firefly AIO-3562JQ – A Rockchip RK3562 SBC for industrial applications with isolated I/Os, RS485, RS232, and more

Firefly AIO-3562JQ SBC

Firefly AIO-3562JQ is an industrial SBC built around the company’s iCore-3562JQ system-on-module with a Rockchip RK3562(J) processor, designed to operate in the -40 to +85°C temperature range, and equipped with a 24-pin isolated terminal block with digital inputs and outputs (relays), RS485, RS232, CAN Bus, and UART. The board ships with up to 8GB RAM and 64GB eMMC flash and features a MIPI DSI interface, two MIPI CSI camera connectors, microphone and speaker connectors, two Ethernet ports, several USB interfaces, and more. Firefly AIO-3562JQ specifications: SoM – Firefly iCore-3562JQ SoC – Rockchip RK3562J CPU – Quad-core Arm Cortex-A53 processor @ up to 1.2 GHz (against 2.0 GHz for the Rockchip RK3562) GPU – Arm Mali-G52 EE with support for OpenGL ES 3.2, Vulkan 1.1, OpenCL 2.0 AI accelerator – None listed in the specs (Rockchip RK3562 comes with a 1 TOPS NPU) VPU – 4Kp30 H.364, H.264, VP9 video decoding, […]

Posted on by Debashis Das - No Comments on Nuvoton NuMicro MA35D0 is a low-cost dual-Core Arm Cortex-A35 microprocessor for industrial edge applications

Nuvoton NuMicro MA35D0 is a low-cost dual-Core Arm Cortex-A35 microprocessor for industrial edge applications

NuMaker IoT-MA35D0-A1 Dev Board

The Nuvoton NuMicro MA35D0 series is a cost-effective, dual-core Arm Cortex-A35 MPU designed specifically for edge IoT applications. The specifications of this MPU are very similar to the Nuvoton MA35H0, and it looks more like a low-power low-cost version of the NuMicro MA35D1. The MPU features integrated, stacked DDR SDRAM options (128MB or 256MB) to reduce PCB complexity and BOM costs. It also offers some security options with Arm TrustZone, secure boot, cryptographic accelerators, and a True Random Number Generator, making it ideal for industrial applications. The MPU also offers various peripherals and connectivity options including 2x Fast Ethernet (IEEE 1588 v2) interfaces, high-speed USB, SD3.0/eMMC, three CAN FD, eleven UART, and more. Additionally, the MA35D0 MPU supports touchscreens and a TFT LCD controller with resolutions up to 1280×800. Nuvoton NuMicro MA35D0 Series specifications: CPU Sub-system  2x Arm Cortex-A35 cores running at up to 650 MHz L1 Cache – 32 Kbytes instruction […]

Posted on by Jean-Luc Aufranc (CNXSoft) - No Comments on Sipeed MaixBox M4N AI Box with 43.2 TOPS AXera AX650N SoC can decode/encode up to 32 videos

Sipeed MaixBox M4N AI Box with 43.2 TOPS AXera AX650N SoC can decode/encode up to 32 videos

Sipeed MaixBox M4N AI box

Sipeed MaixBox M4N is an AI box for video analytics and computer vision equipped with an AXera-Pi Pro (AX650N) octa-core Cortex-A55 SoC with a 43.2 TOPS (INT4) or 10.8 TOPS (INT8) AI accelerator and an H.265/H2.64 video encoder/decoder supporting up to 32 1080p30 videos. The AI box is based on the Sipeed Maix-IV motherboard, an upgrade to the Maix-III devkit with an AX620A quad-core Cortex-A7 SoC with a 14.4 TOPS AI accelerator (INT4). It comes with 8GB RAM shared for Linux and the AI accelerator, 32GB eMMC flash and an M.2 SATA socket for storage, two HDMI outputs, two gigabit Ethernet ports, optional WiFi or 4G LTE mini PCIe module, a few USB ports, and RS232 and RS485 interfaces. Sipeed MaixBox M4N specifications: SoC – AXera AX650N CPU – Octa-core Arm Cortex-A55 @ 1.7 GHz with NEON support NPU – 43.2 TOPS @ INT4, 10.8 TOPS @ INT8 with support […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Firefly Core-3562JQ Rockchip RK3562J industrial SoM works in the -40 to +85°C temperature range

Firefly Core-3562JQ Rockchip RK3562J industrial SoM works in the -40 to +85°C temperature range

Rockchip RK3562 system-on-module

Firefly Core-3562JQ is a system-on-module based on Rockchip RK3562J SoC – the industrial-grade version of the Rockchip RK3562 quad-core Cortex-A53 Tablet SoC – designed to operate in the -40 to 85°C industrial temperature range and suitable for digital signage, industrial control systems, industrial PLCs, energy data concentrators, smart healthcare, self-service terminals, and more. The CPU module features up to 8GB RAM, 64GB flash, and a Rockchip RK809-5A PMIC, plus three 80-pin board-to-board connectors exposing video output and input interfaces, audio (SPDIF, PDM, I2S) interfaces, networking (GbE and Fast Ethernet), various USB interface, a 1-lane PCIe 2.1 interface, and more. Firefly Core-3562JQ specifications: SoC – Rockchip RK3562J CPU – Quad-core Arm Cortex-A53 processor @ up to 1.2 GHz (against 2.0 GHz for the Rockchip RK3562) GPU – Arm Mali-G52 EE with support for OpenGL ES 3.2, Vulkan 1.1, OpenCL 2.0 AI accelerator – None listed in the specs (Rockchip RK3562 comes […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 3 Comments on Allwinner T527 System-on-Module features octa-core Cortex-A55 CPU, 2 TOPS AI accelerator

Allwinner T527 System-on-Module features octa-core Cortex-A55 CPU, 2 TOPS AI accelerator

Allwinner T527 system-on-module

MYiR MYC-LT527 is a compact System-on-Module (SoM) based on Allwinner T527 octa-core Arm Cortex-A55 SoC with a 2 TOPS AI accelerator, up to 4GB RAM, 32GB flash, and a land grid array (LGA) comprised of 381 pads with a range of interfaces for displays and cameras, networking, USB, and PCIe, and more. The company also introduced the MYD-LT527 development board to showcase the capabilities of the Allwinner T527 CPU module suitable for a range of applications such as industrial robots, energy and power management, medical equipment, display and controller machines, edge AI boxes and boards, automotive dashboards, and embedded devices that require media and AI functionalities. MYC-LT527 Allwinner T527 System-on-Module MYC-LT527 specifications: SoC – Allwinner T527 CPU Octa-core Arm Cortex-A55 processor with four cores @ 1.80 GHz and four cores @ 1.42GHz E906 RISC-V core up to 200 MHz DSP – 600MHz HIFI4 Audio DSP GPU – Arm Mali-G57 MC1 […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 4 Comments on Rongpin DR4-S905/DR4-A311D SoM features Amlogic S905D3 or A311D processor

Rongpin DR4-S905/DR4-A311D SoM features Amlogic S905D3 or A311D processor

DR4-A311D Amlogic A311D system-on-module

Shenzhen Rongpin Electronic Technology (Rongpin) DR4-S905 and DR4-A311D are SO-DIMM system-on-modules (SoM) respectively powered by Amlogic S905D3 quad-core Cortex-A55 processor and Amlogic A311D octa-core Cortex-A73/A53 processor. The modules come with 2GB LPDDR4 and 16GB eMMC flash by default, but can be ordered with up to 4GB RAM and 128GB storage, and the company offered a feature-rich carrier board to test all interfaces provided but the system-on-modules. DR4-S905 system-on-module specifications: SoC – Amlogic S905D3 quad-core Cortex-A55 processor @ 1.9GHz with Arm Mali-G31MP2 GPU up to 800MHz supporting OpenGL ES 3.2, Vulkan 1.0 and OpenCL 2.0, real-time Cortex-M4 core for always-on processing, and 1.2 TOPS NPU System Memory – 2GB LPDDR4 by default (1GB/4GB options) Storage – 16GB eMMC 5.1 flash by default (8GB, 32GB, 64GB, 128GB options) SO-DIMM edge connector for connection to a carrier board Power management – Discrete design Dimensions – 69.6 x 30mm Temperature Range – -25℃ to […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 1 Comment on IP67-rated CM4 AI camera uses Raspberry Pi Compute Module 4 for computer vision applications

IP67-rated CM4 AI camera uses Raspberry Pi Compute Module 4 for computer vision applications

EDATEC ED-AIC2020

EDATEC ED-AIC2020 is an IP67-rated, Raspberry Pi CM4-based industrial AI camera equipped with a fixed or liquid lens and LED illumination that leverages the Raspberry Pi Compute Module 4 to run computer vision applications using OpenCV, Python, And Qt. We’ve previously written about Raspberry Pi Compute Module-based smart cameras such as the Q-Wave Systems EagleEye camera (CM3+) working with OpenCV and LabVIEW NI Vision and the StereoPi v2 (CM4) with stereo vision. But the EDATEC ED-AIC2000 is the first ready-to-deploy Raspberry Pi CM4 AI camera we’ve covered so far. EDATEC “CM4 AI camera” (ED-AIC2020) specifications: SoM – Raspberry Pi Compute Module 4  up to 8GB RAM, up to 32GB eMMC flash Camera 2.0MP global shutter or 5.0MP rolling shutter Acquisition rate – Up to 70 FPS Aiming point – Red cross laser Built-in LED illumination (optional) Scanning field Electronic liquid lens Fixed focal length lens Networking Gigabit Ethernet M12 port Communication protocols – Ethernet/IP, PROFINET, Modbus […]

Posted on by Jean-Luc Aufranc (CNXSoft) - 5 Comments on M5Stack CM4Stack – A tiny Raspberry Pi CM4 Linux computer with an integrated 2-inch display

M5Stack CM4Stack – A tiny Raspberry Pi CM4 Linux computer with an integrated 2-inch display

CM4Stack mini PC Raspberry Pi CM4

M5Stack CM4Stack is a tiny Arm Linux mini PC based on Raspberry Pi CM4 that measures 59 x 44 x 46mm and integrates a 2-inch touchscreen display for information and control, as well as the usual ports you’d expect from a mini PC such as HDMI, USB 3.2 ports, Gigabit Ethernet, and so on. We’ve previously written about M5Stack Core and Atom controllers based on ESP32 microcontrollers, an optional 2.0-inch display, and a few GPIOs. The company has now decided to provide a similar solution with a jump in performance and interfaces with the CM4Stack development kit. CM4Stack specifications: SoM – Raspberry Pi CM4 (CM4104032) with SoC – Broadcom BCM2711 quad-core Cortex-A72 processor @ 1.5 GHz System Memory – 4GB RAM Storage – 32GB eMMC flash Wireless module with 802.11 b/g/n/ac WiFi 5 and Bluetooth 5.0 Integrated display – 2.0-inch LCD with ST7789V2 controller, touchscreen function Video Output – HDMI […]

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