The Arduino crew has announced the Arduino Yun. This latest addition to the Arduino family is a “combination of a classic Arduino Leonardo (based on the Atmega32U4 processor) with a Wifi system-on-a-chip running Linino (a MIPS GNU/Linux based on OpenWRT). We embedded the Linux machine directly on the PCB of the Arduino Leonardo and we connected the two so that from Arduino it’s very easy to run commands on the Linux side and use it as an Ethernet and Wifi interface,”
I’ve been looking at cheap laser cutters quite a bit recently. Most of them are missing air assist and red dot positioning, these features require wires to be run up to the laser head which means running cables around the moving parts. These drag chains can route cables safely through the machine and are usually made of plastic. Having a laser though everything looks like it can have a laser cut solution so I made my temporary ones from 2mm mdf.
CxemCAR 2 – Android controlled RC car with video, Bluetooth, WiFi
Johnik has developed the CxemCAR2 project for controlling an RC car using WiFi and Bluetooth. “On the Internet there are many articles on the use of RC cars with IP or Web-based camera. But most of them used a laptop or an internal router with Open-WRT or DD-WRT firmware. Viewing of the video and control of the RC car in such projects is usually implemented with a PC or Laptop. This article describes the control of the crawler platform from any Android-device (tablet, smart phone, etc.), as well as allowing for viewing real-time video and rotation control pan/tilt of IP-Camera. All hardware has remained virtually unchanged in the first project CxemCAR, with changes were made to allow the Android-applications to work with the Wi-Fi IP camera.
The project is built on the Arduino, and control of the car is via a Bluetooth channel. For the IP camera I used the popular model Foscam FI8918 ($80-100).”
A new $100 computer module aims to foster a wealth of compute-intensive applications for medical, automotive, and industrial control, machine vision and other applications. Built around the Epiphany low-power multicore SoC and the Zynq programmable SoC from Xilinx, the Parallella computer boasts supercomputer performance in a credit-card footprint.
The Epiphany architecture consists of a scalable array of simple RISC processors programmable in C/C++ interconnected by a fast on-chip network within a single shared memory. The Epiphany-III device has an array of 16 processors, while the Epiphany-IV has an array of 64 processors.
Everything on the Epiphany is designed for optimum performance with minimum power consumption. For example, when operating at peak performance the Epiphany-IV will provide 100 Gflops of raw computing power while consuming only 2 W. At 50 Gflops/watt, this makes the Epiphany-IV 50 to 100 times as efficient as any alternative.