development kit News - Page 17 of 42 - CNX Software

December 1, 2017December 1, 2017 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

$45 AIY Vision Kit Adds Accelerated Computer Vision to Raspberry Pi Zero W Board

AIY Projects is an initiative launched by Google that aims to bring do-it yourself artificial intelligence to the maker community by providing affordable development kits to get started with the technology. The first project was AIY Projects Voice Kit, that basically transformed Raspberry Pi 3 board into a Google Home device by adding the necessary hardware to support Google Assistant SDK, and an enclosure. The company has now launched another maker kit with AIY Project Vision Kit that adds a HAT board powered by Intel/Movidius Myriad 2 VPU to Raspberry Pi Zero W, in order to accelerate image & objects recognition using TensorFlow’s machine learning models. The kit includes the following items: Vision Bonnet accessory board powered by Myriad 2 VPU (MA2450) 2x 11mm plastic standoffs 24mm RGB arcade button and nut 1x Privacy LED 1x LED bezel 1x 1/4/20 flanged nut Lens, lens washer, and lens magnet 50 mil […]

November 22, 2017November 23, 2017 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

JeVois-A33 Linux Computer Vision Camera Review – Part 2: Setup, Guided Tour, Documentation & Customization

Computer Vision, Artificial Intelligence, Machine Learning, etc.. are all terms we hear frequently those days. JeVois-A33 smart machine vision camera powered by Allwinner A33 quad core processor was launched last year on Indiegogo to bring such capabilities in a low power small form factor devices for example to use in robotics project. The company improved the software since the launch of the project, and has now sent me their tiny Linux camera developer kit for review, and I’ve already checked out the hardware and accessories in the first post. I’ve now had time to test the camera, and I’ll explained how to set it up, test some of the key features via the provided guided tour, and show how it’s possible to customize the camera to your needs with one example. Getting Started with JeVois-A33 In theory, you could just get started by inserting the micro SD card provided with […]

October 28, 2017 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Intel Speech Enabling Developer Kit Works with Alexa Voice Service, Raspberry Pi 3 Board

We’ve known Intel has been working on Quark S1000 “Sue Creek” processor for voice recognition for several months. S1000 SoC is based on two Tensilica LX6 with HiFi3 DSP, some speech recognition accelerators, and up to 8x microphones interfaces which allows it to perform speech recognition locally. The solution can also be hooked to an application processor via SPI, I2S and USB (optional) when cloud based voice recognition is needed. Intel has recently introduced their Speech Enabling Developer Kit working with Amazon Alexa Voice Service (AVS) featuring a “dual DSP with inference engine” – which must be Quark S1000 – and an 8-mic array. The kit also includes a 40-pin cable to connect to the Raspberry Pi 3 board. Intel only provided basic specifications for the kit: Intel’s dual DSP with inference engine Intel 8-mic circular array High-performance algorithms for acoustic echo cancellation, noise reduction, beamforming and custom wake word […]

October 24, 2017October 24, 2017 by Jean-Luc Aufranc (CNXSoft) - No Comments

JeVois Smart Machine Vision Camera Review – Part 1: Developer / Robotics Kit Unboxing

JeVois-A33 computer vision camera was unveiled at the end of last year through a Kickstarter campaign. Powered by an Allwinner A33 quad core Cortex A7 processor, and a 1.3MP camera sensor, the system could detect motion, track faces and eyes, detect & decode ArUco makers & QR codes, follow lines for autonomous cars, etc.. thanks to JeVois framework. Most rewards from KickStarter shipped in April of this year, so it’s quite possible some of the regular readers of this blog are already familiar the camera. But the developer (Laurent Itti) re-contacted me recently, explaining they add improves the software with Python support, and new features such as the capability of running deep neural networks directly on the processor inside the smart camera. He also wanted to send a review sample, which I received today, but I got a bit more than I expected, so I’ll start the review with an […]

October 15, 2017October 15, 2017 by Jean-Luc Aufranc (CNXSoft) - No Comments

iWave Systems iW-RainboW-G25D is a SMARC 2.0 Compliant Snapdragon 820 Development Kit

iWave Systems previously launched iW-RainboW-G25S single board board powered by Qualcomm Snapdragon 820 processor. The company is now back with a new Snapdragon 820 development kit called iW-RainboW-G25D that complies with SMARC 2.0 SoM specifications. The kit include a SoM with 3GB RAM, 32GB storage, WiFi and Bluetooth connected to a SMARC compliant baseboard, and optionally features a 5.5″ AMOLED touch screen display. iWave Systems iW-RainboW-G25D development kit specifications: APQ8096 SMARC iW-RainboW-G25M SoM: SoC – Qualcomm Snapdragon 820 (APQ8096) quad core Kryo CPU with Adreno 530 GPU @ 624MHz, Hexagon 680 DSP @ 825 MHz (no modem) System Memory – 3GB LPDDR4 RAM Storage – 32GB eMMC Flash, micro SD slot Connectivity PCIe to Gigabit Ethernet + PHY 802.11a/b/g/n/ac Wi-Fi + BT4.1 Low Energy (BLE) GPS/GNSS receiver 314-pin MXM 3.0 edge connector as per SMARC 2.0 specifications SMARC Carrier Board Storage – M.2 slot (back), SATA, SD card slot (back), […]

October 7, 2017 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Intrinsyc Launches Open-Q 660 HDK Snapdragon 660 Development Kit

For many years now, Intrinsyc has been releasing Qualcomm mobile development platforms that that are used by companies wanting to design and manufacture smartphones or other products based on Snapdragon processors. Those are usually full featured, including a smartphone display, and well suited to such product development. Their latest development kit is the Open-Q 600 HDK (Hardware Development Kit) powered by Qualcomm Snapdragon 660 SoC, an upgrade to Snapdragon 653 with about 20 percent improvement in CPU performance, and 30 percent in GPU performance. The kit is also equipped with 6GB RAM, 64GB flash, a display, wireless modules, sensors, camera interfaces, expansion headers, and more. Intrinsyc Open-Q 600 specifications: SoC – Qualcomm Snapdragon 660 octa-core processor with Four Kryo 260 performance cores @ up to 2.2GHz, four Kryo 260 low power cores @ up to 1.8GHz Adreno 512 GPU @ up to 650 MHz supporting OpenGL ES 3.0/3.2, Vulkan, DX12 FL […]

September 13, 2017 by Jean-Luc Aufranc (CNXSoft) - 5 Comments

WizziKit is a DASH7, LoRa and Sigfox Wireless Sensor & Actuator Network Kit

Over the last few years, I’ve written several article about LoRaWAN, Cellular IoT, and Sigfox based long range low power IoT solutions. DASH7 is another LPWAN (Low Power Wide Area Network) standard that operates on the same 868 and 915 MHz ISM bands as LoRa and Sigfox, but has much lower power consumption, and the cost of a shorter range up to 500 meters, instead of the 5+km associated with LoRa or SigFox. The DASH7 Alliance Protocol (D7A) is an Open Standard, and if you want more details you can download version 1.1 of the specifications on DASH7 Alliance website. I’m writing about DASH7 today thanks to an article on ST blog about Wizzilab’s Wizzikit, an evaluation kit and framework for DASH7 with a gateway, and several nodes that can also optionally support LoRaWAN and Sigfox protocols. The kit is comprised of the following items: WizziGate GW2120 Ethernet/Wifi/Dash7 gateway – based […]

September 7, 2017 by Jean-Luc Aufranc (CNXSoft) - 9 Comments

Particle E Series is a Family of 2G, 3G, 4G LTE Cellular IoT Modules Optimized for Mass Production

Cellular IoT has really taken off this year from the low cost Orange Pi 2G IoT board to 4G GPS Trackers, and global IoT SIM cards. Particle has been in this market for a couple of years, starting with their Electron boards, and the company has just announced the new Particle E series family of industrialized 2G, 3G, and LTE-enabled modules and a development kit. Key features of Particles E series modules: Cellular Connectivity u-blox SARA modules for cellular connectivity LTE: SARA-R410M 3G: SARA-U201/U260/U270 2G: SARA-G350 (2G) Embedded SIM card, Particle MVNO support in 100+ countries u.FL antenna connector MCU – STM32F205RGT6 120MHz ARM Cortex M3 microcontroller with 1MB flash, 128KB RAM Storage – • Expandable flash memory I/Os – 63-pin surface mountable castellated module with up 30x GPIOs, 12x ADC, 2x DAC, 13x PWM, 3x UART, 2x SPI, 1x I2S, 2x CAN, 1x USB 2.0 (Some signals are multiplexed) […]