F-Secure Foundry recently launched a crowdfunding campaign for their new, tiny form factor USB Armory MK II computer. The device which comes with a form factor that looks like a usb flash drive is an open-source, full featured USB computer with Bluetooth, USB-C ports, 512MB RAM and 900MHz and was developed as an improvement to the USB Armory […]
USB ARMORY MK II USB LINUX COMPUTER TARGETS SECURITY APPLICATIONS Read More »
Taiwan Commate Computer Inc.(COMMELL), the worldwide leader of Industrial Single Board Computers, unveiled LP-178 Pico-ITX based on Intel® 8th Gen. FCBGA1528 “Whiskey Lake”. The “Whiskey” PC is claimed to deliver better performance than a PC base on previous embedded U-series processors- enabled by 4 instead of 2 cores plus an overall improved micro architecture. The 8th Gen. Core™ i7 U-series Mobile processor for IoT applications
COMMELL UNVEILED PICO-ITX LP-178 BASED ON WHISKEY LAKE-U PROCESSORS Read More »
Renesas Electronics’ new RX65N Cloud Kit provides a simple, application-ready platform for the development of IoT sensor devices which connect to the cloud via Amazon Web Services (AWS). The kit features an RX65N microcontroller, on-board Wi-Fi® wireless connectivity, environmental, light and inertial sensors, and support for Amazon’s FreeRTOS real-time operating system. Future Electronics is now
THE EASY WAY TO CREATE SECURE IOT DEVICE CONNECTIONS TO AMAZON WEB SERVICES Read More »
Signet HC is a secure USB drive built with open-hardware and free open-source software. It is an encrypted flash drive, a two-factor authentication (2FA) device and a hardware password and personal information manager, making it a portable solution to a variety of data security problems. Signet HC is physically secured, it requires a user taking physical action (press a button
SIGNET HIGH-CAPACITY THUMB-DRIVE, YOUR LIBRE PERSONAL INFORMATION SECURITY MULTI-TOOL Read More »
Following the success of their last product; the Atomic Pi SBC which sold for only $34 and sold out multiple times, Team IoT, has returned with another successful Kickstarter project for a Neural Computing Development Kit that combines the Intel Cherry Trail-based Atomic Pi SBC with a 2GB RAM and 16GB eMMC, with Intel’s Neural Compute Stick
NEURAL COMPUTING KIT COMBINES ATOMIC PI SBC WITH INTEL’S NCS2 Read More »
IBASE Technology Inc. (TPEx: 8050), a world leading provider of industrial computers and embedded computing solutions, releases the IB918 3.5-inch Disk-Size SBC based on the AMD Ryzen™ Embedded V1000/R1000 SoC. The IB918 allows system designers to create feature rich systems targeting panel PC, kiosk, POS, medical display and industrial applications. Generating stunning 4K Ultra High-Definition
COMPACT AMD RYZEN™ SBC FEATURING FOUR INDEPENDENT 4K DISPLAYS Read More »
The BlueNRG-M0 is a very low power network processor module for Bluetooth® low energy v4.2. The BlueNRG-M0 is an easy to use Bluetooth® low energy master/slave network processor module, compliant with Bluetooth v4.2. The BlueNRG-M0 module supports multiple roles simultaneously, and can act at the same time as Bluetooth low energy sensor and hub device.
STMICROELECTRONICS BLUENRG-M0 BLUETOOTH MODULE Read More »
Many years ago (September 2009) I made a simple bench power supply using an LT1083 7.5A linear regulator with adjustable output voltage designed to be used with a 19.5V 3.42A laptop power supply. It still works fine after years of abuse, but my choice of output power connectors was poor (3 pin headers, the sort
LAPTOP BENCH POWER SUPPLY WITH FAN CONTROLLER Read More »
Silicon Labs has introduced a new range of integrated, secure Wireless Gecko modules which make it easier to add robust mesh networking connectivity. By Ally Winning @ eenewsembedded.com MGM210x and BGM210x Series 2 modules support Zigbee, Thread, Bluetooth mesh, Bluetooth Low Energy and multiprotocol connectivity. The xGM210x modules are pre-certified for North America, Europe, Korea and Japan, minimizing the
MESH NETWORKING MODULES EASE IOT DEVICE DESIGN Read More »
With the advent of IoT and the proliferation of connected embedded devices, one of the biggest challenges in developing competitive IoT solutions is the ability to bring intelligence at the Edge of the IoT networks. Edge computing is crucial in IoT applications as it paves the way for faster real-time inference by embedding computation capability in on-premise
