Physical computing

DFRobot's HuskyLens, an AI Vision Sensor, included in the "forget-me-not" for Alzheimer's patients

Retrieved on: 
Friday, March 5, 2021
Academic disciplines, Articles, Science and technology, Computational neuroscience, Arduino, Microcontrollers, Physical computing, Artificial intelligence

In China, there are about 10 million Alzheimer's patients by now, ranking first in the world.

Key Points: 
  • In China, there are about 10 million Alzheimer's patients by now, ranking first in the world.
  • The AI Wearable can help patients recognize their family members and guide them home through a built-in voice assistant.
  • According to Lu's introduction, the AI Wearable uses Arduino Nano and is equipped with a built-in HuskyLens AI Vision Sensor developed by DFRobot, an ultraviolet sensor, MP3 module, and uses Mind+ for programming.
  • The built-in HuskyLens in the AI Wearable is an easy-to-use AI vision sensor.

Telit Arduino Turnkey IoT Innovation Kit Enables Fast, Inexpensive LTE IoT Application Development

Retrieved on: 
Wednesday, October 28, 2020
Physical computing, Microcontrollers, Technology, Science and technology, Electronics, Arduino, Telit, Internet of things

LONDON, Oct. 28, 2020 /PRNewswire/ --Telit, a global enabler of the Internet of Things (IoT), today announced the launch of Charlie, a turnkey innovation kit for fast, inexpensive development of Arduino-based, LTE-powered IoT applications.

Key Points: 
  • LONDON, Oct. 28, 2020 /PRNewswire/ --Telit, a global enabler of the Internet of Things (IoT), today announced the launch of Charlie, a turnkey innovation kit for fast, inexpensive development of Arduino-based, LTE-powered IoT applications.
  • The new kit is the latest example of Telit's commitment to providing makers and other innovators with low-cost development solutions as they explore the burgeoning IoT market opportunity.
  • The microprocessor is compatible with the Arduino Integrated Development Environment (IDE) and easily programmable through Arduino libraries.
  • Telit, Telit OneEdge and all associated logos are trademarks of Telit Communications PLC in the United States and other countries.

Qeexo AutoML Enables Machine Learning on Arm Cortex-M0 and Cortex-M0+

Retrieved on: 
Wednesday, September 9, 2020
Artificial intelligence, Machine learning, Arduino, Microcontrollers, Physical computing, Automated machine learning, Science and technology, Learning, Automation, Sensor

Qeexo is the first company to automate adding machine learning to a processor of this size.

Key Points: 
  • Qeexo is the first company to automate adding machine learning to a processor of this size.
  • Machine learning models built with Qeexo AutoML are highly optimized and have an incredibly small memory footprint.
  • -- Steve Roddy, Vice President of Product Marketing, Machine Learning Group of Arm
    "Arduino is on a mission to make machine learning simple enough for anyone to use.
  • Equipped with various motion and environmental sensors and enhanced with Qeexo AutoML, this sensor module is the perfect reference platform for developing intelligent machine learning applications."

Versatile Neonode Prototyping Board Enables Rapid Prototyping

Retrieved on: 
Thursday, April 2, 2020
Microcontrollers, Electronics, Embedded systems, Technology, Internet of things, Arduino, Physical computing, Prototype, Comparison of single-board microcontrollers

STOCKHOLM, April 2, 2020 /PRNewswire/ --Neonode Inc. (NASDAQ: NEON) today announced the release of an Arduino-compatible prototyping board for fast prototyping with Neonode touch sensor modules.

Key Points: 
  • STOCKHOLM, April 2, 2020 /PRNewswire/ --Neonode Inc. (NASDAQ: NEON) today announced the release of an Arduino-compatible prototyping board for fast prototyping with Neonode touch sensor modules.
  • Neonode's Prototyping Board shortens development time for products to reach end customers by providing hardware and software engineers with a fast and efficient verification environment.
  • The prototyping board and Arduino-compatible software library (SDK) opens up the Arduino open source electronics platform and a wealth of open-source applications software for use with Neonode Touch Sensor Modules.
  • The Neonode Prototyping Board is available at Digikey.com.

Versatile Neonode Prototyping Board Enables Rapid Prototyping

Retrieved on: 
Thursday, April 2, 2020
Microcontrollers, Electronics, Embedded systems, Technology, Internet of things, Arduino, Physical computing, Prototype, Comparison of single-board microcontrollers

STOCKHOLM, April 2, 2020 /PRNewswire/ --Neonode Inc. (NASDAQ: NEON) today announced the release of an Arduino-compatible prototyping board for fast prototyping with Neonode touch sensor modules.

Key Points: 
  • STOCKHOLM, April 2, 2020 /PRNewswire/ --Neonode Inc. (NASDAQ: NEON) today announced the release of an Arduino-compatible prototyping board for fast prototyping with Neonode touch sensor modules.
  • Neonode's Prototyping Board shortens development time for products to reach end customers by providing hardware and software engineers with a fast and efficient verification environment.
  • The prototyping board and Arduino-compatible software library (SDK) opens up the Arduino open source electronics platform and a wealth of open-source applications software for use with Neonode Touch Sensor Modules.
  • The Neonode Prototyping Board is available at Digikey.com.

EdTech Firm pi-top Secures $4m of New Investment

Retrieved on: 
Wednesday, September 18, 2019
Computing, Digital technology, Magazines, Single-board computers, ARM architecture, Raspberry Pi, Ch, Physical computing, Software as a service, Pi, Pi

This substantial investment was raised following the recent appointment of their new Executive Chairman Stanley Buchesky, marking a new strategy for the company along with a revised organisational structure.

Key Points: 
  • This substantial investment was raised following the recent appointment of their new Executive Chairman Stanley Buchesky, marking a new strategy for the company along with a revised organisational structure.
  • Successfully launching the pi-top [4] platform - From November pi-top will be shipping the new game-changing, programmable computing device, pi-top [4].
  • Combining physical computing and project-based learning educators, students, and inventors will be able to design, code and invent with pi-top [4] in one easy-to-use system.
  • Increasing investment in software development - Further, pi-top's new SaaS-based learning platform, is designed to support project-based learning to teach computer science.

EdTech Firm pi-top Secures $4m of New Investment

Retrieved on: 
Wednesday, September 18, 2019
Computing, Digital technology, Magazines, Single-board computers, ARM architecture, Raspberry Pi, Ch, Physical computing, Software as a service, Pi, Pi

This substantial investment was raised following the recent appointment of their new Executive Chairman Stanley Buchesky, marking a new strategy for the company along with a revised organisational structure.

Key Points: 
  • This substantial investment was raised following the recent appointment of their new Executive Chairman Stanley Buchesky, marking a new strategy for the company along with a revised organisational structure.
  • Successfully launching the pi-top [4] platform - From November pi-top will be shipping the new game-changing, programmable computing device, pi-top [4].
  • Combining physical computing and project-based learning educators, students, and inventors will be able to design, code and invent with pi-top [4] in one easy-to-use system.
  • Increasing investment in software development - Further, pi-top's new SaaS-based learning platform, is designed to support project-based learning to teach computer science.

DFRobot drives innovation with launch of HuskyLens

Retrieved on: 
Wednesday, August 7, 2019
Single-board computers, Embedded systems, Electronics, Computer architecture, Microcontrollers, ARM architecture, Linux-based devices, Physical computing, Arduino, Raspberry Pi, Micro Bit, Maker culture

HuskyLens is driven by the power of image processing algorithms and is constantly learning new objects, faces, and colours at the click of a button.

Key Points: 
  • HuskyLens is driven by the power of image processing algorithms and is constantly learning new objects, faces, and colours at the click of a button.
  • HuskyLens is compatible with a range of microcontrollersincluding Arduino, Raspberry Pi, LattePanda, and micro:bit.
  • "HuskyLens has been developed using the latest AI technology, exceptionally fast processors, and the most user-friendly experience,with the intention of unlocking creative potential and we're excited to witness the innovation this drives."
  • DFRobot is one of the early evangelists of the Maker Movement and strongly supports greater access to the maker culture.

DFRobot drives innovation with launch of HuskyLens

Retrieved on: 
Wednesday, August 7, 2019
Single-board computers, Embedded systems, Electronics, Computer architecture, Microcontrollers, ARM architecture, Linux-based devices, Physical computing, Arduino, Raspberry Pi, Micro Bit, Maker culture

HuskyLens is driven by the power of image processing algorithms and is constantly learning new objects, faces, and colours at the click of a button.

Key Points: 
  • HuskyLens is driven by the power of image processing algorithms and is constantly learning new objects, faces, and colours at the click of a button.
  • HuskyLens is compatible with a range of microcontrollersincluding Arduino, Raspberry Pi, LattePanda, and micro:bit.
  • "HuskyLens has been developed using the latest AI technology, exceptionally fast processors, and the most user-friendly experience,with the intention of unlocking creative potential and we're excited to witness the innovation this drives."
  • DFRobot is one of the early evangelists of the Maker Movement and strongly supports greater access to the maker culture.

DrawAlert Announces Pay-App and Draw Processing with Version 3.6 Update

Retrieved on: 
Tuesday, July 16, 2019
Computing, Digital technology, Cross-platform software, Java platform, Physical computing, Processing

PHOENIX, July 16, 2019 /PRNewswire/ --Today DrawAlert, the market's leading Construction Administration Software, announces the release of the much-anticipated version 3.6.

Key Points: 
  • PHOENIX, July 16, 2019 /PRNewswire/ --Today DrawAlert, the market's leading Construction Administration Software, announces the release of the much-anticipated version 3.6.
  • The latest version of DrawAlert features the addition of an end-to-end Pay App and Draw Processing functionality.
  • "With DrawAlert v3.6, you can now support fully collaborative pay App Processing."
  • The latest release continues that trend, all while supporting faster processing from the creation of the schedule of values through each draw cycle.