Social Networks

Mar 30, 2017

Ebook: "Control of a LED Spot Light With Arduino And App Inventor 2"



InDEX
1.    Introduction
2.    Hardware of a Single LED
3.    Software of a Single LED
4.    Hardware and Software of a LED Spot Light
5.    Photographs
6.    Download
7.    Datasheet
Review:

"In this book we have solved the problem of controlling the light intensity of a LED diode, and therefore of a lamp with LED technology, using an Arduino UNO board, a Bluetooth HC05 card and an Android device. To achieve this goal, we have developed the Android application using "App Inventor 2". There are several solutions for this project, and this time I show you one of them, later I show you in another of my books a similar project, but the application develops it with another type of Software and with three LEDs."
The links of this Ebook are:

Mar 29, 2017

Ebook: "Digital Pressure Gauge With PIC18F2550"



IndEX

1.    Introduction
2.    Hardware
3.    Software
4.    Photographs
5.    Download
6.    Datasheet
Review:

"In this book we have solved the problem of developing a digital pressure measurement system using a PIC18F2550, a PIC12F675 and a capacitive pressure sensor. This system proved to be very reliable and we must use an analog manometer to calibrate this system and thus throw data at us with a small margin of error."
The links of this Ebook are (available in KENP Read):
https://www.amazon.com/dp/B06XXGBD6G
https://www.amazon.com/Guillermo%20Perez/e/B01EZOTUVQ/

 
Free Projects:
http://guillengap.blogspot.com/2018/02/free-projects.html

I have two capacitive sensors in case someone is interested.
 guillengap@gmail.com

Mar 15, 2017

Ebook: "Object Size Classifier With Mega 2560"


InDEX

1.    Introduction
2.    Hardware
3.    Software
4.    Photographs
5.    Download
6.    Datasheet
Review:

"In this paper we have solved the problem of classifying objects by their size, and then they are diverted to two containers, one for small objects and the other for large objects. The solution is based on using infrared sensors and the Arduino Mega 2560 board, but the same results can be obtained using the Arduino UNO board. The system proved to be efficient and can be used for industrial applications. For example to classify fruits or cardboard boxes or bottles, you simply have to make small changes to the code."

The links of this Ebook are (available in KENP Read): https://www.amazon.com/dp/B06XKQJRVT
https://www.amazon.com/Guillermo%20Perez/e/B01EZOTUVQ/


Free Projects:
http://guillengap.blogspot.com/2018/02/free-projects.html
guillengap@gmail.com