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Intel Galileo and Intel Galileo Gen 2: API Features and by Manoel Carlos Ramon

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By Manoel Carlos Ramon

Intel® Galileo and Intel® Galileo Gen 2: API gains and Arduino tasks for Linux Programmers offers designated information regarding Intel® Galileo and Intel® Galileo Gen 2 forums for all software program builders drawn to Arduino and the Linux platform. The publication covers the recent Arduino APIs and is an advent for builders on natively utilizing Linux.
Author Manoel Carlos Ramon is a member of the Intel Galileo improvement workforce; during this e-book he attracts on his useful event in engaged on the Galileo venture as he stocks the team’s findings, difficulties, fixes, workarounds, and methods with the open resource neighborhood. His parts of workmanship are wide-ranging, together with Linux-embedded kernel and machine drivers, C/C++, Java, OpenGL, Assembler, Android NDK/SDK/ADK, and 2G/3G/4G modem integration. He has greater than 17 years of expertise in study and improvement of cellular units and embedded circuits. His own weblog approximately programming is BytesThink (www.bytesthink.com).

What you’ll learn

• How Linux libraries and functions are used and have interaction with sketches
• tips on how to configure WiFi mPCIe

• how one can boost and debug Intel’s Galileo and Intel Galileo Gen 2 sketches utilizing the Arduino IDE, local Linux purposes, and hacking

• Integration of OpenCV and V4L2 in C/C++/Python to trap photograph and video clips, and to become aware of faces, eyes, and your emotional kingdom with a Fisherfaces model

• the way to trade information utilizing the 7160 LTE modem

• easy methods to tweet with leisure API 1.1 and OAuth authentication

• tips to regulate a 6 DOF robotic arm utilizing a gripper established in espresso grains,

as good as the best way to create a distinct API and for 6 analogic controls

• domestic Automation with node.js

• tips on how to deal with temperature sensors, barometric sensors, and PIR movement sensors, in addition to tips to create your personal soil moisture sensors and keypad

• the best way to use an influence of Ethernet (PoE) module on Intel Galileo Gen 2

Who this booklet is for

Software and builders drawn to embedded Linux and Arduino.

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Then we would turn the scan data into a design file and re-create exact replicas of the cuneiforms on a 3D printer. 19 A machine that can make almost anything Image courtesy of Cornell University. Curator David I. Owen; Design: Natasha Gangjee; Photo by Jason Koski If our experiment worked, we figured that the next time he went abroad, my colleague could convince the local authorities to let him CT scan priceless local artifacts. Then he could send the design information to a nearby (or distant) 3D printer to share with anybody else on the planet.

Could it be that my salty old car mechanic got it wrong after all? Maybe you can have it done good, fast, and cheap, no compromises necessary. But maybe he wasn’t wrong. There’s more to the story than at first meets the eye. Mass production is riddled with hidden costs and delays. If you consider the big picture from the perspective of a company rather than the consumer, mass production is not cheap. Nor is the process of transforming a design concept into a mass-produced product particularly fast.

Perhaps one day, 3D printed robotic life forms will emerge from the printer complete with batteries, sensors, and circuit-brain already inside. New-born 3D printed robots will take their first hesitant baby steps out of the print bed and put their electronic circuitry to work learning their way around. Perhaps someday 3D printed robots will return to their 3D printer to invent new features for their “birth machine,” for a health check, to recalibrate or replace printed parts. Faxing things The ultimate convergence will arrive when we effortlessly shape-shift between being physical and being virtual, when physical objects smoothly transition from bits to atoms and atoms to bits.

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