16x32 RGB LED matrix panel ID: 420 - $79.95 : Adafruit Industries
Bring a little bit of Times Square into your home with this 16 x 32 RGB LED matrix panel. These panels are normally used to make video walls, here in New York we see them on the sides of busses and bus stops, to display animations or short video clips. We thought they looked really cool so we picked up a few boxes of them from a factory. They have 512 bright RGB LEDs arranged in a 16x32 grid on the front. On the back there is a PCB with two IDC connectors (one input, one output: in theory you can chain these together) and 12 16-bit latches that allow you to drive the display with a 1:8 scan rate. These displays are 'chainable' - connect one output to the next input - but our Arduino example code does not support this (yet).
Camera module – first pictures!
I was sent this image this morning from Gert (not pictured), Naush (right eye and half-moustache) and JamesH (stripy shirt and chin). It’s not a terribly exciting photo – until you realise that it’s the first picture ever taken from the prototype camera add-on board we’re developing for release later in the year, which will plug into those CSI pins we expose in the middle of the Raspberry Pi. I will ask Gert, Naush and JamesH, who have been working on this in their free evenings, to answer questions in the comments below – they are also very active on our forums, so please come over and have a chat. We may downgrade the super-duperness of the camera to something with fewer than its current 14 megapixels before release; we need to keep things affordable, and a sensor of that size will end up pricey.
Raspberry Pi Kernel Compilation
The Raspberry Pi cannot run a vanilla Linux kernel. A patched version of the kernel is maintained by the Raspberry Pi Foundation and is available from their github Prerequisites To compile a kernel, you require dev-vcs/git to download the source code and genkernel to manage the build process.
Raspberry-Pi / SMS Alarm System - jfpayeur
# My first python project # # Sources and Ref.#
Bionic Arduino – Introduction to Microcontrollers with Arduino
Bionic Arduino is a set of four 3-hour classes in November 2007 hosted by Machine Project and taught by Tod E. Kurt. It is an introduction to microcontroller programming and interfacing with the real world using the Arduino physical computing platform. It focuses on building new physical senses and making motion with the building blocks of robotics, using Arduino as a platform. In the class, participants are shown and experiment with the Arduino’s capabilities and learn the basics of common microcontroller interfacing, such as: digital output to control lights and LEDs, digital input to read switches and buttons, analog output to control motor position or LED brightness, and analog input to read sensor inputs. The class assumes no previous electronics knowledge, though it does assume a little programming knowledge.
ROS on RaspberryPi - JR
8-Mar-2014 - ROS Hydro with rosserial_arduino This install is based almost exactly on this ROS wiki page (~ Nov 2013) by JonStephan, with only a few details changed. This install starts with the Raspberry Pi Foundation NOOBS v1.3.4 zip file I downloaded 7 March 2014.
How to connect RaspberryPi to LCD and have fun
You will need: 1. LCD panel 2. LVDS cable with attached miniUSB connector (for touch controller) and ambient light sensor 3. HDMI-LVDS converter 4. miniUSB cable – optionally available during order 5. Power adapter (5V, at least 2A) – optionally available during order
This is Wiring (and Arduino)
The Wiring i/o board is a small, cheap standalone computer with many connection capabilities. It can be easily programmed in a variant of the Processing language, with a similar programming environment. The board can control all kinds of sensors and actuators. Sensors allow the board to acquire information from the surrounding environment (temperature sensors, light sensors, distance sensors, etc). Actuators are devices that allow the board to create changes in the physical world (lights, motors, heating devices, etc).
Raspberry Pi + OpenCV
OpenCV is a suite of powerful computer vision tools. Here is a quick overview of how I installed OpenCV on my Raspberry Pi with debian6-19-04-2012. The guide is based on the official OpenCV Installation Guide on Debian and Ubuntu.
arduino meets processing - PUSHBUTTON
The Arduino meets Processing project intends to make it as easy as possible for anyone to explore the world of physical computing. All you need is an Arduino board as well as the Arduino and Processing software, which you can download on their project websites. On this website we explain how to: set up electronic circuits with various kinds of sensors, control and measure the sensors with the Arduino board,
