Firefly AIO-1684XQ motherboard features BM1684X AI SoC with up to 32 TOPS for video analytics, computer vision

Firefly AIO-1684XQ motherboard

Firefly AIO-1684XQ is a motherboard based on SOPHGO SOPHON BM1684X octa-core Cortex-A53 AI SoC delivering up to 32TOPS for AI inference, and designed for computer vision applications and video analytics. The headless machine vision board is equipped with 16GB RAM, 64GB eMMC flash, and 128MB SPI flash, and comes with a SATA 3.0 port, dual Gigabit Ethernet, optional 4G LTE or 5G modules, four USB 3.0 ports, and a terminal block with two RS485 interface, two relay outputs, and a few GPIOs. Firefly AIO-1684XQ specifications: SoC – SOPHGO SOPHON BM1684X CPU – Octa-core Arm Cortex-A53 processor @ up to 2.3 GHz TPU – Up to 32TOPS (INT8), 16 TFLOPS (FP16/BF16), 2 TFLOPS (FP32) VPU Up to 32-channel H.265/H.264 1080p25 video decoding Up to 32-channel 1080p25 HD video processing (decoding + AI analysis) Up to 12-channel H.265/H.264 1080p25fps video encoding System Memory – 16GB LPDDR4x Storage 64GB eMMC flash 128MB SPI […]

e-con systems See3CAM_24CUG USB 3.1 global shutter camera review

See3CAM_24CUG USB 3.1 camera review

e-con Systems See3CAM_24CUG a full HD color global shutter USB 3.1 Gen 1 camera based on an Onsemi AR0234CS CMOS image sensor capable of capturing moving scenes at up to 120 fps. This global shutter camera is especially useful for robotics and other applications that may require a high frame rate such as Automatic Number Plate Recognition (ANPR), Autonomous Mobile Robots (AMR), gesture recognition, drones, barcode scanners, factory automation, conveyor monitoring cameras, and traffic monitoring systems. e-con Systems sent a See3CAM_24CUG USB global shutter camera sample to CNX Software for review. I’ll go through an unboxing before testing in Ubuntu with both an AMD Ryzen 7 2700U laptop and a Raspberry Pi 4 single board computer. It happens to be based on the same sensor as the e-CAM20_CURB camera for Raspberry Pi 4 that we reviewed last year. See3CAM_24CUG specifications ON Semiconductor AR0234CS CMOS sensor with 1/2.6″ optical form-factor Global […]

WeAct launches $6 ESP32-C6 development board, ESP-IDF 5.1 framework released

WeAct ESP32-C6 development board

As expected, Espressif has just released the ESP-IDF 5.1 framework with ESP32-C6 and ESP32-H2 support, so more ESP32-C6 boards should become available, and after Olimex ESP32-C6-EVB launched earlier this week, we’ve noticed WeAct had introduced a low-cost ESP32-C6 development board that sells for just $6.43 plus shipping a few weeks ago. WeAct ESP32-C6 board The WeAct board offers 2.4 GHz WiFi 6, Bluetooth LE 5.0., and Zigbee/Thread connectivity through the ESP32-C6-WROOM-1 module, two USB-C ports, two 16-pin headers for GPIOs, and if it looks familiar, it’s because it closely follows the design of the official ESP32-C6-DevKitC-1 development kit, albeit with some small modifications. WeAct ESP32-C6 board specifications: Wireless module  – ESP32-C6-WROOM-1 with ESP32-C6 single-core 32-bit RISC-V clocked up to 160 MHz, with 320KB ROM, 512KB SRAM, low-power RISC-V core @ up to 20 MHz Wireless – 2.4 GHz WiFi 6, Bluetooth 5.0 LE, 802.15.4 radio for Zigbee 3.0 and Thread. […]

Firefly’s Rockchip RK3588 SBCs are now available with 32GB RAM

ROC-RK3588-PC 32GB RAM

The Rockchip RK3588 datasheet clearly states the processor supports up to 32 GB RAM, and many vendors claimed their board supports up to 32GB RAM at launch, but none were to be found once you accessed a shop, and the maximum was 16GB RAM so far, likely due to availability and the high price of of the two 16GB RAM chips needed to get 32GB of RAM. But Firefly has now discreetly started to sell boards with 32GB RAM including the ROC-RK3588-PC, ROC-RK3588S-PC, and ITX-3358J mini-ITX motherboard. I’ve just noticed I never covered the former, so I’ll have a closer look at it today. Firefly ROC-RK3588S-PC specifications: SoM – Core-3588J system-on-module SoC – Rockchip RK3588 octa-core processor with 4x Cortex-A76 cores @ up to 2.4 GHz, four Cortex-A55 cores, Arm Mali-G610 MP4 quad-core GPU with OpenGL ES3.2 / OpenCL 2.2 / Vulkan 1.1 support, 6 TOPS NPU, and an 8Kp60 […]

$5 Ai-M62-12F-Kit RISC-V development board features BL616 WiFi 6, BLE 5.2, and Zigbee MCU, plenty of I/Os

Ai-M62-12F-Kit

Ai Thinker Ai-M62-12F-Kit is a development board based on Bouffalo Lab BL616 RISC-V microcontroller with 2.4 GHz WiFi 6, Bluetooth 5.2 LE, and an 802.15.4 radio (Zigbee/Thread), plus thirty I/O pin for expansion. We had already covered the tiny Sipeed M0S module based on BL616 MCU earlier this year along with its M0S dock board that exposed eight GPIO pins via a 12-pin header, and the “NodeMCU” Ai-M62-12F basically offers the same features but with many more I/Os thanks to two 15-pin headers, as well as an RGB LED and two user-programmable LEDs. Ai-M62-12F-Kit specifications: MCU – Bouffalo Lab BL616 32-bit RISC-V (RV32IMAFCP) microcontroller @ up to 320 MHz (384 MHz overclocked) with 480KB SRAM, 4MB flash, 2.4 GHz WiFi 6, Bluetooth 5.2 dual mode, and 802.15.4 radio (Zigbee) Antenna – PCB antenna USB – 1x USB Type-C port for power and programming I/Os – 2x 15-pin headers with Storage […]

MangoPi mCore-R818 module powers CyberPad 3.1-inch handheld android “tablet”

CyberPad Components

mCore-R818 is the first time that MangoPi adopts the design combination of a core-lite module and a carrier board. As its name suggests, it is an AllWinner R818 SoM whose SoC integrates an Imagination PowerVR GE8300 GPU for UI rendering, can drive MIPI DSI, LVDS, and RGB displays, as well as cameras through a MIPI CSI interface, 8MP/5MP/2MP interfaces. The Allwinner R818 system-on-module powers a feature-rich carrier board as well as an upcoming Cyberpad Android “tablet” with a 3.1-inch display. MangoPi mCore-R818 The package design of the processor itself is small, so the MCore-R818 core board is only 3x3cm in size, but still contains four components with the Allwinner R818, the eMMC flash, LPDDR4 memory, and the AXP717 PMU. MangoPi provides two hardware configurations: 2GB DDR with 16GB eMMC flash, and 4GB DDR with 32GB eMMC flash. MCore-R818 Core Lite Specifications: SoC – Allwinner R818 CPU – Quad-core Arm Cortex-A53 […]

AndesAIRE AnDLA I350 AI/ML IP block is configurable from 64 GOPS to 8TOPS for Edge AI SoCs

AnDLA I350 Block Diagram

Andes Technology has just announced the AndesAIRE product line, where AndesAIRE stands for Andes AI Runs Everywhere, comprised of the AndesAIRE AnDLA I350 (Andes Deep Learning Accelerator) AI/ML hardware accelerator intellectual property (IP) and the AndesAIRE NN SDK with neural network software tools and runtimes. AndesAIRE AnDLA I350 AnDLA I350 specifications: Configurable MACs from 32 to 4096 (INT8) Maximum performance – 8 TOPS at 1GHz Configurable local memory – 16KB to 4MB Multi-dimension DMA Four 64-bit AXI bus interfaces NN type – CNN inference NN models Image and Video: AlexNet, VGG-16/19, MobileNet-v1/v2/v3, ResNet-8/50, Tiny YOLO v1/v2, YOLO v1/v2/v3/v4/v5, SSD MobileNet v1/v2, Inception v2, EfficientNet-lite, MobileFaceNet, BlazeNet Speech/Voice and audio: LSTM, RNN, GRU Operators: Conv2d, depthwise convolution, pointwise convolution, transpose convolution, dilated convolution, element-wise (add, sub, mul), fully-connected, activation (ReLU, leaky ReLU, sigmoid, Tanh, ReLU6, SiLU), pooling (max, ave), upsample, concatenation, batch normalization, channel padding Operator fusion NHWC data format The IP […]

HARDWARIO CHESTER – A configurable Zephyr OS LPWAN IoT gateway with LoRaWAN, LTE IoT, GNSS connectivity

CHESTER configurable IoT gateway

HARDWARIO CHESTER platform is a configurable LPWAN IoT gateway whose main function is to connect as many devices and environments as possible to the Internet using connectivity such as LoRaWAN, LTE Cat M1, or NB-IoT, as well as GNSS for geolocation. Contrary to most IoT gateways, it does not run Linux on an application processor, and instead, the “brain” of the CHESTER IoT gateway is a Raytac Bluetooth 5.0 module based on a Nordic Semi nRF52840 Arm Cortex-M4 microcontroller running Zephyr real-time operating system, which connects to LTE IoT modem and a LoRaWAN module through UART, and expansion modules through I2C, 1-wire, and GPIO interfaces. HARDWARIO CHESTER specifications: Wireless modules/chips Raytac MDBT50Q-P1MV2 Bluetooth 5.0 module based on Nordic Semi nRF52840 Arm Cortex-M4F MCU with 1MB Flash memory, 256kB RAM Nordic Semi nRF9160-SICA-B1A-R7 LTE-M/NB-IoT system-in-package (SiP) with Arm Cortex-M33 MCU, 1024 KB flash, 256 KB SRAM Murata CMWX1ZZABZ-078 LoRa module as […]