SiFive Learn Inventor is a Wireless RISC-V Development Kit Inspired by BBC Micro:bit

SiFive Learn Inventor is a RISC-V educational board partially inspired by BBC Micro:bit board with the same crocodile clip-friendly edge connector, and an LED matrix. The board is also fully qualified to work with the Amazon FreeRTOS real-time operating system. Shaped in the form of a hand, the board features SiFive FE310 RISC-V processor found in the SiFive HiFive1 board, as well as ESP-WROOM-32 WiFi + Bluetooth module. SiFive Learn Inventor specifications: SoC – SiFive FE310-G003 32-bit RISC-V (RV32IMAFC) processor @ 150 MHz with 64KB of internal SRAM Storage – 512 KB flash “Display” – 6×8 “widescreen” array of RGB LEDs with 262,000 colors each; LEDs can expand off-board onto external arrays via the edge connector Wireless Connectivity – 802.11b/g/n WiFi 4 (2.4GHz) and Bluetooth 4.2 LE via an ESP32 module (ESP-WROOM-32) USB – 1x Micro USB port for power and programming/debugging Expansion A/D Converters (four) accessed via on-board coprocessor […]

Khadas VIM3 NPU ToolKit Release & Video Demo

Khadas VIM3 NPU Toolkit

Khadas VIM3 board based on Amlogic A311D processor with a 5TOPS Neural-network Processing Unit (NPU) launched last June. We’ve reviewed VIM3 with Android 9 shortly after launch, but until recently it was not possible to leverage the NPU since the software was not quite ready yet. The goods news is that Khadas has now released the NPU toolkit for both VIM3, and the cheaper VIM3L boards. The NPU toolkit contains the following directory: docs – Model conversion documentation acuity-toolkit – Model conversion tools linux_sdk – Linux SDK android_sdk – Android SDK The toolkit works in host PCs running Ubuntu 16.04 or 18.04 with Tensorflow framework, and inference can run on both Linux and Android OS in Khadas VIM3/3L board. It includes an Inception v3 sample with 299×299 sample photos, among other demos. You’ll find documentation to get started with model conversion and inference in Linux on Khadas Wiki. You can […]

STEEReoCAM is a 3D Stereo Camera for NVIDIA Jetson Nano, TX2, & AGX Xavier Dev Kits

STEEReoCam 2MP 3D Stereo Camera The latest e-con systems camera added to the lineup is the STEEReoCam. A 2MP 3D MIPI compliant stereo camera that works with the NVIDIA Jetson Nano, AGX Xavier, and Jetson TX2 development kits.   Improved Overall Function The camera has greater accuracy and depth range, with an OmniVision 1/2.9″ OV2311 global shutter CMOS sensor.  And the STEEReoCam comes bundled with CUDA the proprietary accelerated stereo SDK, that uses the GPU in the NVIDIA Tegra processors. AI and IoT Applications The camera is targeted towards depth sensing, AVG, robotics, face and gesture recognition, drones, medical procedure robots, and embedded visions. Software Development Kit e-Con Systems provides a Software Development Kit (SDK) package for the camera designed to work with NVIDIA Jetson development boards. The SDK is built on OpenCV 3.4.2 and CUDA Compute Capability 5.3/7.2/6.2. Sample Linux applications, some of which are shown in the video […]

Orange Pi AI Stick Lite $20 Neural Compute Stick Ships with Free Training Tools

Orange Pi AI Stick Lite

Shenzhen Xunlong Software launched Orange Pi AI Stick 2801 neural compute stick last year for $69. It was interesting as an alternative to Intel Neural Compute Stick. But once the documentation and SDK were released a few days later we discovered you could only run demos with the stick for that price, and the training tools would cost an extra $149. The excellent news is that the company has now launched an updated, yet similar Orange Pi AI Stick Lite for just $19.99, and best of all the PLAI training tools are now entirely free. Orange Pi AI Stick Lite specifications: ASIC – Gyrfalcon SPR2801S Lightspeeur series processor with 2-dimensional Matrix Processing Engine (MPE) with AI Processing in Memory (APiM) delivering up to 2.8TOPS @ 300mW, 5.6 TOPS @ 100 MHz (peak performance) Storage – eMMC 4.5 flash with 68 MB/s read, 84.69 MB/s write Host interface – USB 3.0/2.0 […]

Nordic Semi nRF52833 WiSoC Supports Bluetooth 5.1 Direction Finding, Works up to 105ºC

nRF52833-DK

Nordic Semiconductors had added a new member to their RF52 multi-protocol wireless SoCs with nRF52833 that supports Bluetooth 5.1 direction finding and can operate in a wider temperature range between -40ºC and +105°C. The company also introduced nRF52833 DK development kit for Bluetooth Low Energy, Bluetooth mesh, Thread, Zigbee (802.15.4), and 2.4GHz proprietary applications, and some companies have already announced nRF52833 modules. Nordic Semi nRF52833 Bluetooth 5.1 SoC Key features and specifications: MCU Core – Arm Cortex-M4F @ 64 MHz Memory – 128 KB RAM Storage – 512 KB Flash Connectivity Bluetooth 5.1 @ 2 Mbps/1 Mbps/500 kbps/125 kbps 802.15.4 (Thread/Zigbee) @ 250 kbps 2.4 GHz proprietary @ 2 Mbps / 1 Mbps NFC-A tag TX power – Programmable from +8 dBm to -20 dBm in 4 dB steps Sensitivity Bluetooth 5: -103 dBm at 125 kbps; -98 dB at 500 kbps; -95 dBm at 1 Mbps; -92 dBm at […]

Blip Nordic nRF52840 Dev Board Includes STM32 Black Magic Probe Programmer & Debugger (Crowdfunding)

The Latest Electronut Labs Nordic nRF52840 Based Dev Board Electronut Labs has started its Crowd Supply campaign for Blip, a Nordic nRF52840 based development board. With many onboard sensors and systems, the boards are aimed at prototyping and projects in a wide variety of BLE and 802.15.4, wireless application scenarios.  It has a programmer and debugger built-in. Past Articles  Electronut Labs has a series of Nordic Semiconductor SoC projects previously reported on including  Papyr, a Bluetooth E-Paper Display and Bluey, a BLE Development board using the Nordic nRF52832, and CNXSoft also published an article comparing several of the Nordic SoC available in development boards for Bluetooth 5 (BLE5). The Features the Stand Out Blip has a Black magic Probe compatible programmer and debugger built-in, along with a temperature/humidity sensor, ambient light intensity sensor,  and a three-axis accelerometer.  The board is designed to prototype very low power devices and an ability […]

Toybrick TB-RK1808 AI Compute Stick is now Available for $86

TB-RK1808 AI Compute Stick

Last May, we wrote about RK1808 AI Compute Stick, a USB stick with Rockchip RK1808 dual-core Cortex-A35 processor also featuring a 3.0 TOPS neural processing unit to accelerate AI workloads at low power. As I understood it, it was available for purchase, but you had to contact a Rockchip FAE by email in order to get one. Now, you can easily buy one online by getting the Toybrick TB-RK1808 AI Compute Stick on Seeed Studio for $86. Just ignore the “Core i3” in the title, we’ll see why it’s there further below. TB-RK1808 AI Compute Stick specifications: SoC – Rockchip RK1808 dual-core Cortex-A35 processor with NPU AI inference performance – 3 TOPS for INT8, 300 GOPS for INT16, 100 GOPS for FP16 System Memory – 1GB LPDDR Storage – 8GB eMMC flash Host Interface – USB 3.0 type-A port Power Supply – Via USB port Dimensions – 82 x 31 […]

Pine64 SoEdge-RK1808 AI Module Delivers 3.0 TOPS via Rockchip RK1808 SoC

SOPINE Model A Baseboard + SoEdge-RK1808

A few weeks ago, Ameridroid reported Pine64 would soon launch SoRock and SoEdge systems-on-module, but at the time there was virtually no info except SoRock would be likely based on either RK3328 or RK3399 and work on the existing Clusterboard, while SoEdge would be an AI Neural module for Artificial Intelligence tasks, with up to 3 TeraFLOPS of performance. I did not write about it at the time, simply because there was so little information, but this morning I’ve just received some photos of SoEdge-RK1808 module fitted to a baseboard that looks to be SOPINE Model “A” carrier board. SoEdge-RK1808 SoM Let’s try to derive the specifications from the photos even though some components appear to be blurred out or just unclear: SoC – Rockchip RK1808 dual-core Cortex-A35 processor with 3.0 TOPS NPU (Neural Processing Unit) System Memory – 2GB RAM (2x 8GBit Micro DDR4-2400) but limited PC-2133 Storage – […]