Quokka FPGA IoT Controller is a board based on Altera Cyclone IV FPGA with a WiPy module for connectivity, and various I/Os that allows you to make robotics projects for example. While you could program the FPGA using VHDL, the developer – Evgeny Muryshkin – also designed Quokka Development Toolkit (QDT), a cloud-based SaaS, allowing to program FPGA with a high-level programming language, currently C#, so that software people can more easily become involved in FPGA development. Quokka IoT (preliminary) hardware specifications: FPGA – Intel Altera Cyclone IV, 6K logic elements, EP4CE6E22C8 Clock – 50MHz Connectivity – WiFi via WiPy module Expansion 40x GPIO (3 banks by 8 pins, with direction and voltage (3.3V or 5V) configuration, 16 raw IO pins 3.3V) 2x Dual Channel 10 bit ADC (3.3V) 2x Dual Channel 10 bit DAC (3.3V) H-Bridge for DC motors with support for external power Power Supply – 5-24V DC input […]
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 […]
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 […]
CrazyPi Board Runs Ubuntu and ROS on Rockchip RK3128 SoC for Robotics & IoT Projects (Crowdfunding)
CrazyPi is a maker board powered by Rockchip RK3128 quad core Cortex A7 processor that can take various magnetically connected modules such as LIDAR, gimbal, 4G LTE, etc.., and runs both Ubuntu and ROS (Robot Operating System) for DIY robotics & IoT projects. CrazyPi main board specifications: SoC – Rockchip RK3128 quad core Cortex A7 processor @ 1.2 GHz with ARM Mali GPU MCU – ARM Cortex-M3 @ 72 MHz System Memory – 1GB DDR3L @ 1066 MHz Storage – 16GB eMMC flash pre-loaded with Ubuntu and ROS Connectivity – 802.11 a/b/g/n WiFi @ 150 Mbps, Bluetooth 4.0 USB – 1x USB 2.0 host port Expansion Headers – Two headers with a total of 36-pin exposing 1x HDMI, 1x speaker, 1x microphone, 3x PWM, 1x I2C, 1x UART, 1x SPDIF, 1x SPI, 1x USB Power Supply – 5V via micro USB port ? Dimensions – Smaller than credit card The […]
EduMIP Self-Balancing Robot Kit Based on BeagleBone Blue is Now Available for $50
BeagleBone Blue is a board designed for robotics projects, and one of those projects is EduMIP self-balancing robot that was first designed around BeagleBone Black and a robotics cape, but so far was not available for sale. Renaissance Robotics is now selling the kit, without board, for $50. The kit has been designed by UC San Diego Coordinated Robotics Lab in order to teach robotics to students, and it works with BeagleBone Blue, or BeagleBone Black with the Robotics Cape and an optional WiFi dongle. Some of the subjects that can be learned with eduMIP include: Dynamic modeling and feedback control (classical, state-space, adaptive, …) of unstable systems. Robot motion planning and collision avoidance. DC motor control via (built-in) H-bridges and encoder counters. Attitude estimation via (built-in) IMU and barometer. Communication via (built-in) WiFi (802.11b/g/n) and Bluetooth (4.1/BLE). Charging, balancing, protection, and monitoring of 2-cell LiPo (included). Multithreaded event-driven C programming […]
$29 Bluey nRF52832 BLE & NFC Development Board Comes with Temperature, Humidity, Light, and Motion Sensors
Electronut Labs, a startup based in Bangalore, India, has designed Bluey board powered by Nordic Semi nRF52832 Bluetooth LE SoC, and equipped with 3 sensor chips reporting temperature, humidity, light intensity, and acceleration data. Bluey board specifications: SoC – Nordic Semi nRF52832 ANT + BLE ARM Cortex-M4 @ 64 MHz processor with 512kB flash, 64kB RAM Storage – Micro SD slot Connectivity – Bluetooth 4.2/5 LE and other proprietary 2.4 GHz wireless standards via PCB Antenna, NFC via PCB antenna Sensors TI HDC1010 Temperature/Humidity sensor APDS-9300-020 ambient light sensor ST Micro LSM6DS3 accelerometer Expansion Header – 18-pin header with GPIO, 5V, 3.3V, and GND Debugging – CP2104 USB interface; 6-pin SWD header Misc – CREE RGB LED; 2 push buttons; coin cell holder; on/off witch; external / battery power jumper Power Supply – 5V via micro USB port, up to 6V battery voltage via 4-pin header The board is partially […]
Husarion CORE2 STM32 Board for Robotics Projects Works with ESP32, Raspberry Pi 3, or ASUS Tinkerboard
Husarion CORE2 is a board designed to make robotics projects simpler and faster to complete with pre-configured software and online management. Projects can start using LEGOs, before moving to 3D printed or laser-cut version of the mechanical parts without having to spend too much time on the electronics and software part of the project. Two versions of the board are available: CORE2 combining STM32 MCU with ESP32 WiFI & Bluetooth module, and CORE2-ROS with STM32 instead coupled to a Raspberry Pi 3 or ASUS Tinkerboard running ROS (Robot Operating System). Both solutions share most of the same specifications: MCU -STMicro STM32F4 ARM CORTEX-M4 MCU @ 168 MHz with 192 kB RAM, 1 MB Flash External Storage – 1x micro SD slot USB – 1x USB 2.0 host port with 1A charging capability; 1x micro USB port for debugging and programming via FTDI chip Expansion Headers hRPi expansion header for CORE2-ROS […]
$399 Intel Euclid Robotics Devkit Runs Ubuntu & ROS on Intel Atom x7-Z8700 Processor
We’ve seen many mini PC based on Intel Atom x5/x7 “Cherry Trail” processor in the last year, but Intel has also integrated their low power processor into hardware aimed at robotics, such as Intel RealSense development kit based on Atom x5 UP Board and RealSense R200 depth camera. The company has now launched its one-in-all Intel Euclid development kit combining Atom X7-Z8700 processor with a RealSense camera in a single enclosure. Intel Euclid specifications: SoC – Intel Atom x7-Z8700 Cherry Trail quad core processor @ up to 2.4GHz with Intel HD Graphics Gen 8 System Memory – 4GB LPDDR3-1600 Storage – 32GB eMMC 5.0 flash, Micro SD slot up to 128GB Video Output – micro HDMI port up to 4K @ 30 Hz Audio – 2x I2S interfaces, 1W mono speaker, 3x DMIC with noise cancellation Camera – Intel RealSense ZR300 camera RGB camera – 2MP up to 1080p@30fps, 16:9 […]