Congratulations to Gustavo Reynaga from Sinaloa (Mexico) for the following picture taken at Genuino Day at Mazatlan International Center. We’re sending him a Genuino MKR1000 and a Genuino Mug!
It’s your time to win a MKR1000 too! Read the rest of this entry »
Last night Massimo Banzi was Guest Judge on Intel America’s Greatest Maker - episode 4 and had the difficult task of evaluating the teams and their projects competing in the Make or Break rounds for $100,000 and a spot in the million dollar finale.
At Arduino Day, I talked about a project I and my collaborators have been working on to bring machine learning to the maker community. Machine learning is a technique for teaching software to recognize patterns using data, e.g. for recognizing spam emails or recommending related products. Our ESP (Example-based Sensor Predictions) software recognizes patterns in real-time sensor data, like gestures made with an accelerometer or sounds recorded by a microphone. The machine learning algorithms that power this pattern recognition are specified in Arduino-like code, while the recording and tuning of example sensor data is done in an interactive graphical interface. We’re working on building up a library of code examples for different applications so that Arduino users can easily apply machine learning to a broad range of problems.
The project is a part of my research at the University of California, Berkeley and is being done in collaboration with Ben Zhang, Audrey Leung, and my advisor Björn Hartmann. We’re building on the Gesture Recognition Toolkit (GRT) and openFrameworks. The software is still rough (and Mac only for now) but we’d welcome your feedback. Installations instructions are on our GitHub project page. Please report issues on GitHub. Read the rest of this entry »
A group of students (Kate Twomey, Leila ByronDaan Weijers, Luuk Rombouts) at the Copenhagen Institute of Interaction Design explored the creation of a tangible user interface displaying personal calendar’s meetings without using a screen.
The installation is called Timely and uses Temboo, Google Calendar API and a Genuino MKR1000 to pull all the upcoming week’s events and displaying each of them with a rotation of a laser cut base and its red strings:
Here we are today announcing the winner of this week for our Instagram giveaway!
Congratulations to Thinklab.ph from Manila (Philippines) for the following picture taken at Genuino Day with Rizal High School showcasing an Arduino based battle robot: Tagisang Robotics, Salamander. They win a Genuino MKR1000 and a Genuino Mug!
We’re very happy to announce that the source code of the real-time operating system (RTOS) powering the Arduino 101 and Genuino 101 is now available for hacking and study purposes.
The package contains the complete BSP (Board Support Package) for the Curie processor on the 101. It allows you to compile and modify the core OS and the firmware to manage updates and the bootloader. (Be careful with this one since flashing the wrong bootloader could brick your board and require a JTAG programmer to unbrick it).
The firmware runs on the x86 chip inside the Curie module and communicates with the ARC core (which runs your Arduino sketches) using these callbacks.
Right now, the x86 core takes care of handling Bluetooth Low Energy (BLE) and USB communication, offloading the ARC core.
You can use the code which implements these functionalities as a starting point for your custom extra features. Read the rest of this entry »
This is your chance to put your hands on Arduino Starter Kit or Genuino Starter Kit with a 10 % discount*.
The promotion is active on our online stores for a limited time: April 20th and 21st. Get it now inserting the coupon code SPRING at checkout!
The Starter Kit is based on lessons Arduino’s founders have learned teaching their own classes: if you start with the assumption that learning to make digital technologies is simple and accessible, you can really make it so. Read the rest of this entry »
The Boogie Cup is an interactive project controlling the music volume according to the number of cups used in a party and allowing party-goers to follow each other on Spotify. How does it work?
The Boogie Cup Holder uses an infrared distance sensor to detect how many cups are in the stack. As guests take cups, the sensor detects a change in distance, and increases the volume at the party. The Genuino MKR1000 wifi chip connects the Boogie Cup to the Spotify API. When two guests pass by with similar playlists, their cups light up. When they cheers, a message is sent to a server that enables each user to follow each other on Spotify.