Video Category - Page 70 of 323 - CNX Software

July 13, 2021July 13, 2021 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

DIY Linux e-Reader – postmarketOS now runs on Kobo Clara HD

postmarketOS is a Linux operating system designed for phones, notably the PinePhone, and based on Alpine Linux. But now it’s possible to install the Linux distribution on Kobo Clara HD e-Reader (about $115), so you could have your own Linux e-Reader in a way that’s more versatile than with commercial solutions. The image can either be based on the vendor kernel or the mainline kernel. The latter works without modification to the X server, and the framebuffer can be used directly with either kernel, but most free e-reader programs such as koreader, plato, and inkbox are developed for the slightly different framebuffer API used in the vendor kernel. The demo below relies on Sxmo UI optimized for the PinePhone, and Martijn Braam notes that it can be pretty hard notably because only one hardware button is present on the Kobo device while the interface requires 3 hardware input buttons. But […]

July 6, 2021July 6, 2021 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

AIfES for Arduino high-efficiency AI framework for microcontrollers becomes open source

AIfES (AI for Embedded Systems) is a standalone, high-efficiency, AI framework, which allows the Fraunhofer Institute for Microelectronic Circuits and Systems, or Fraunhofer IMS for short, to train and run machine learning algorithms on resource-constrained microcontrollers. So far the framework was closed-source and only used internally by Fraunhofer IMS, but following a collaboration with Arduino, AIfES for Arduino is now open-source and free to use for non-commercial projects. The framework has been optimized to allow 8-bit microcontrollers such as the one found in Arduino Uno to implement an Artificial Neural Network (ANN) that can be trained in moderate time. That means offline inference and training on small self-learning battery-powered devices is possible with AIfES without relying on the cloud or other devices. The library implements Feedforward Neural Networks (FNN) that can be freely parameterized, trained, modified, or reloaded at runtime. Programmed in C language, AIfES uses only standard libraries based […]

July 6, 2021July 6, 2021 by Jean-Luc Aufranc (CNXSoft) - 3 Comments

Keyboardio Model 100 wooden keyboard runs open-source Arduino firmware (Crowdfunding)

Are you bored with keyboard news yet? Keyboardio Model 100 does not quite look like most keyboards though. It’s basically a piece of art with an enclosure made of walnut or maple hardwood, and designed as an ergonomic keyboard with left and right parts with a total of 64 mechanical switches with RGB LEDs and custom-sculpted keycaps. Keyboardio Model 100 also runs Kaleidoscope open-source firmware programmed in the Arduino IDE, and can be customized by the user with Chrysalis open-source, cross-platform graphical configuration tool. The community is also working on porting QMK firmware to the keyboard. The Keyboardio Model 100 ships with QWERTY keycaps, but alternative keycap sets with Dvorak, Colemak, Linear A, or blank legends are available as a add-on. Other accessories include a 1.5 USB-A to USB C cable for connection to the host, a 10cm RJ45 interconnect cable and a 1m RJ45 interconnect cable to connect the […]

July 5, 2021 by Jean-Luc Aufranc (CNXSoft) - No Comments

Index PnP – An open-source pick-and-place machine for mid-scale manufacturing

Index PNP open-source pick-and-place machine

We’ve previously written about one open-source pick-and-place machine, SimplePNP aiming to provide a low-cost solution for several hundred dollars and relying on OpenPnP open-source control software. But Stephen Hawes found out this type of solution did not cut it for mid-scale manufacturing (100 to 5000 units per year), so he decided to build his own. Meet Index PnP, an open-source pick-and-place machine designed for mass-production volumes typical of crowdfunding projects. The project was introduced launched with the following requirements Automated – no human interaction necessary from attaching the paste-applied board to the machine to having a board ready for reflow Capable of picking and placing components down to 0603 passives Integrated up and down vision for fiducial scanning and on-nozzle component alignment Automatic nozzle tip changer to support a wide range of component sizes Frame and motherboard design capable of future upgrades Mechanical and Electrical support for conveyor belt module […]

July 4, 2021July 4, 2021 by Jean-Luc Aufranc (CNXSoft) - 4 Comments

Relay expansion board for Raspberry Pi includes 4.3-inch touchscreen display (Crowdfunding)

PiRelay 8-Channel Raspberry Pi touchscreen display

There are plenty of multi-relay boards for Raspberry Pi, but since those are often combined with an HMI for control, SB Components decided to offer an all-in-one solution with an expansion board equipped with eight relays and a 4.3-inch touchscreen display connected to a Raspberry Pi via HDMI and USB. PiRelay 8 specifications: Relays 8x relays with 3.3V/5V trigger signal Input – 250V AC/7A, 30V DC/10A Screw terminal blocks NO (Normally Open) and NC (Normally Closed) modes available Isolation – EL357NC optocouplers with current transfer ratio (CTR) of 50-600% at IF=5mA, VCE=5V Display support – Optional 4.3-inch touchscreen display with 800 x 480 pixels resolution, HDMI input for video, USB for touchscreen support. It also comes with a 3.5mm audio jack, an HDMI audio output, a speaker connector, and mounting holes for the Raspberry Pi. 40-pin GPIO header to connect a Raspberry Pi SBC (Pi 4, Pi 3B+, Pi 3, […]

July 3, 2021July 7, 2021 by Jean-Luc Aufranc (CNXSoft) - 1 Comment

MicroMod Teensy brings Teensy 4.0 board to M.2 form factor

Teensy 4.0, a low-cost board based on NXP i.MX RT1062 Arm Cortex-M7 crossover processor, is now getting a little brother with MicroMod Teensy following the same M.2 form factor as other Sparkfun MicroMod boards. Born from a collaboration between PJRC and Sparkfun, MicroMod Teensy has essentially the specs of Teensy 4.0 but with larger flash memory, and the board will be fully supported by the Teensyduino add-on to the Arduino IDE as noted by Paul Stoffregen on Twitter. MicroMod Teensy specifications: SoC – NXP i.MX RT1062 Arm Cortex-M7 processor at 600 MHz with 1024KB RAM (512KB is tightly coupled), Storage – 16MB serial flash (instead of 2MB on Teensy 4.0) M.2 MicroMod connector with USB Device up to 480Mbit/sec: Capable of enumerating as a USB keyboard, mouse, joystick, MIDI, audio, and more USB Host up to 480Mbit/sec: Capable of interfacing to USB flash drives, mice, keyboards, and more 7x Serial […]

July 2, 2021 by Jean-Luc Aufranc (CNXSoft) - 7 Comments

FICIHIP multifunctional keyboard includes 12.6-inch touchscreen display (Crowdfunding)

Multifunction-keyboard touchscreen display

Keyboards have made the news in recent months with stories ranging from a customizable programmable keyboard, to a keyboard part of a USB-C dock, and a 2-key open-source keypad. FICIHIP multifunctional keyboard is special in its own way as besides a traditional QWERTY keyboard is also includes a 12.6-inch touchscreen display which makes it looks like a computer, but no, it’s really just a USB keyboard that happens to come with a display design for computers and smartphones. FICIHIP multifunctional keyboard key features and specifications: QWERTY keyboard with RGB backlight and hot-swappable mechanical keycaps for DIY layout on K2 model only Display – 12.6-inch screen with 1920×515 resolution @ 60 Hz, 10-point multitouch panel HDMI input – HDMI 1.4 port USB – USB 3.1 Type-C port, 2x USB 2.0 ports Aluminum body That means the keyboard acts as a second display either through the USB-C port when connected to a […]

July 1, 2021July 1, 2021 by Jean-Luc Aufranc (CNXSoft) - 2 Comments

Jevois Pro small AI camera with Amlogic A311D SoC offers up to 13 TOPS (Crowdfunding)

Jevois-A33 smart camera was a tiny Linux camera with Allwinner A33 processor designed for computer vision applications and announced in 2016. I had the opportunity to review the computer vision camera the following year, and it was fun to use to learn about computer vision with many examples, but since it relied on the CPU for processing, it would not have been suitable for all projects due to the lag, as for example, object detection took 500ms and Yolo V3 around 3 seconds per inference. But time has passed, and great progress has been made in the computer vision and AI fields with the tasks now usually handled by a built-in NPU, or an AI accelerator card. So JeVois Pro deep learning camera has just been launched with an Amlogic A311D processor featuring a 5 TOPS NPU, and support for up to 13 TOPS via a Myriad X or Google […]