Orange Pi AI Stick 2801 Neural Compute Stick SDK & Documentation Released

How to use Orange Pi AI Stick SDK

We covered the launch of Orange Pi AI Stick 2801 neural compute stick a few days ago, the first easily available Gyralcon Lightspeeur based USB stick, and noted that while the hardware was there, we had no details about software development kit and documentation at the time. I’ve got some more information now. First, the company release an English presentation about the neural stick, and while it’s not technical documentation, it provides insights into what it is capable of, and an overview about the workflow. More importantly, Shenzhen Xunlong Software also released Orange Pi AI Stick SDK and user manual for x86 PC, as well as cat/dog data and pre-trained models to get started. However, if you want to perform training with your own data, you’ll need to purchase the stick plus PLAI model transformation and training tools sold on Aliexpress for $218 plus shipping, that’s $69 for the hardware, and $149 for the software tools. The company further explains …

Support CNX Software – Donate via PayPal or become a Patron on Patreon

MAIX Development Boards with Sipeed M1 RISC-V AI Module Launched for $5 and Up (Crowdfunding)

MAIX GO Board

Sipeed M1 (aka MAIX-I)is a compact module based on Kendryte K210 dual core RISC-V processor designed for low power artificial intelligence workloads at the edge, such as face detection, object recognition, or audio processing. The module and some development boards are available on Taobao for the Chinese market, as well as YOYCart for the rest of the world, but the company has now launched several MAIX boards based on M1 module through an Indiegogo campaign with price starting at just $5 a piece. Sipeed MAIX Bit (aka MAIX Micro) is the cheapest one at $5 (early bird) / $6 with the following specifications: SoC – Kendryte K210 dual core 64-bit RISC-V processor @ 400 MHz (overclockable up to 800 MHz) with KPU CNN hardware accelerator APU audio hardware accelerator with support for up to 8 mics, up to 192 KHz sample rate FPIOA (Field Programmable IO Array) mapping 255 functions to all 48 GPIOs on the chip. 8 MB general purpose …

Support CNX Software – Donate via PayPal or become a Patron on Patreon

GAPUINO GAP8 is a $229 RISC-V MCU Developer Kit for A.I. Applications

GAPuino Board

GreenWaves GAP8 is a low power RISC-V “MCU class” processor with eight compute cores optimized for artificial intelligence applications, and its main selling point is the ability to do tasks like computer vision or audio processing at very low power, even good enough to run on batteries. When we first covered GAP8 RISC-V processor at the beginning of the year, the company also mentioned a development kit comprised of GAPDUINO Arduino compatible board, a sensor board, and a QVGA camera module to experiment with the solution.  The board and development kit are now easier to purchase as the devkit is sold on SeeedStudio for $229. GAPuino board specifications: SoC – GAP8 IoT Application Processor with 8x RISC-V  compute cores, 1x RISC-V fabric controller core delivering up to 200 MOPS at 1mW and  >8 GOPS at a few tens of mW Memory / Storage –  HyperBus combo DRAM/Flash with 512 Mbit Flash + 64 Mbit DRAM; 256 Mbit Quad SPI flash …

Support CNX Software – Donate via PayPal or become a Patron on Patreon

Firefly Baidu Face Recognition Kit Comes with Monocular, Binocular, or Structured Light Camera

Baidu Face Recognition Kit

Firefly AIO-3399J industrial board comprised of a Rockchip RK3399 SoM and a baseboard offering plenty of I/O & connectivity options has been bundled with various  other accessories including a 10.1″ touchscreen display, and cameras to create a development platform for Baidu AI offline (aka “at the edge”) face recognition technology. The development kit is available in different variants with either a monocular camera, a binocular camera, or a structured-light camera. There’s also a deluxe kit with WiFi and a stand. Baidu Face Recognition Kit key specifications: SoC – Rockchip RK3399 hexa-core big.LITTLE processor with dual core ARM Cortex A72 up to 2.0 GHz and quad core Cortex A53 processor, ARM Mali-T860 MP4 GPU with OpenGL 1.1 to 3.1 support, OpenVG1.1, OpenCL and DX 11 support System Memory – 2GB DDR3 RAM Storage – 16GB eMMC 5.1 flash, micro SD card slot Display – 10.1″ 1280×800 capacitive touch display Connectivity – Gigabit Ethernet, Dual band WiFi, Bluetooth 4.1 LE, and mPCIe …

Support CNX Software – Donate via PayPal or become a Patron on Patreon

Imagination Unveils PowerVR AX2185 and AX2145 Neural Network Accelerators (NNA)

PowerVR AX2185

Imagination Technologies introduced PowerVR Series2NX neural network accelerator (NNA) last year. At the time, the company claimed the NNA would deliver  twice the performance at half the bandwidth over existing competing solutions, and that it was the first dedicated hardware solution with flexible bit-depth support from 16-bit down to 4-bit. What they did not announce last September were any specific parts. But they’ve just done that today with PowerVR AX2185 and AX2145 NNAs “designed to enable high-performance computation of neural networks at very low power consumption in minimal silicon area”. PowerVR AX2185 PowerVR AX2185 is said to be the highest performing neural network accelerator per mm2 in the market with eight full-width compute engines delivering up to 4.1 TOPS (Tera Operations Per Second), or 2,048 MACs/clock. AX2185 NNA can deliver 3.5 times the performance compared to a desktop GPU. The NNA is best suited for high-end smartphones, smart surveillance and automotive markets. PowerVR AX2145 PowerVR AX2145 is a lower cost …

Support CNX Software – Donate via PayPal or become a Patron on Patreon

NVIDIA Introduces Jetson Xavier Devkit and Isaac Robotics Software

NVIDIA Jetson Xavier

NVIDIA Xavier was first unveiled in September 2016 as an artificial intelligence SoC with eight NVIDIA Custom 64-bit Arm cores, a 512-core Volta GPU,  8K video encoding and decoding, and a computer vision accelerator (CVA) now called NVDLA (NVIDIA Deep Learning Accelerator). Earlier this year, the company announced Xavier was sampling,  and DRIVE IX & DRIVE AR SDKs for the automotive market. On the eve of Computer 2018, NVIDIA has introduced Jetson Xavier development kit, as well as Isaac robotics software for autonomous machines. Jetson Xavier key specifications: SoC – NVIDIA Xavier with 8-core ARMv8.2 64-bit CPU, 8MB L2 + 4MB L3 512-core Volta GPU with Tensor Cores 2x NVDLA engines for deep learning 7-way VLIW Processor for vision acceleration VPU with dual 4Kp60 video decoding and encoding System Memory – 16GB 256-bit LPDDR4x | 137 GB/s Storage – 32GB eMMC 5.1 flash Display – 3x eDP/DP/HDMI at 4Kp60 | HDMI 2.0, DP HBR3 Camera 16x CSI-2 Lanes (40 Gbps …

Support CNX Software – Donate via PayPal or become a Patron on Patreon

Android 8.1 Firmware and SDK Released for Orange Pi 4G-IoT Board

Orange-Pi-4G-IoT-Android-8.1

When Orange Pi 4G-IoT board launched a few months ago, it shipped with a not so recent Android 6.0 operating system. But the good news is that Shenzhen Xunlong Software has now released Android 8.1 firmware for their Mediatek MT6737M quad core Cortex A53 LTE Cat 4 board, as well as the corresponding SDK. This makes it the cheapest Android 8.1 board with LTE connectivity available on the market so far as it goes for just under $50. The SDK is a large tarball (22.6 GB) split into 11 smaller files. It’s hosted on MEGA so download is fairly fast, but due to the size I had to install MEGA Sync software in order to download it easily. Once the download is complete, it’s not recognized in Nautilus, but you can extract the SDK as follows in a terminal: This will take a while and extract over a million files for a total of 64.8 GB. We can now have …

Support CNX Software – Donate via PayPal or become a Patron on Patreon

Sens’it Discovery is a Sigfox IoT Solution with 6 Sensors

Sigfox has just launched Sens’it Discovery, which they describe as a “end-to-end IoT solution, which aims to accelerate the adoption of the IoT (Internet of things) among business and technical professionals”. The solution is comprised for Sens’it 3 device with 6 sensors, sensit.io application, and Sigfox connectivity. Sens’it 3 hardware specifications: MCU – STM32 micro‑controller  Connectivity TI CC1125 radio transceiver Sigfox Ready class 0U Frequencies – 868 to 869.7 MHz, 902 to 908 MHz, or 923.2 MHz (TX) / 922.2 MHz (RX), or 920 to 925 MHz depending on region Transmit Power emission – 14 dBm ERP (RC1), 22 dBm ERP (RC2), 10 dBm ERP (RC3), 22 dBm ERP (RC4) Sensors Thermometer (HTS221) – -40 to 120°C / Accuracy ± 0.5°C Humidity (HTS221) –  0 to 100 / Accuracy ± 3.5% rH (20 to +80% rH) Accelerometer (FXOS8700) –  ±2, 4, 8 g / Accuracy 0.244, 0.488, 0.976 mg Magnetometer (FXOS8700) –  ±1200 μT / Sensitivity 0.1 μT/LSB Light (LTR329) –  …

Support CNX Software – Donate via PayPal or become a Patron on Patreon