Book: "Collection of Raspberry Pi Projects"

INDEX

Chapter 1. Introduction 

Chapter 2. Alarm System

Chapter 3. Gas Leak Alarm

Chapter 4. Weather Station

Chapter 5. Digital Image Processing

Chapter 6. Animations With Python And Pygame

Chapter 7. Homemade Spectrometer

Chapter 6. Object Classification Using Edge Impulse

Summary:

"This book is a collection of my best publications on projects made with the Raspberry Pi board, and which I describe below:

Alarm System: Develop an alarm system to detect the movement of someone through the use of a PIR motion sensor and the Raspberry Pi Zero W board. When this happens, an alert notice will appear on the Twitter account.

Gas Leak Alarm: Develop a system for the detection of fires or gas leaks with the Raspberry Pi Zero W board and the MQ2 gas sensor. This system can send the captured data to the remote server of ThingSpeak. When a gas increase is detected beyond a limit, then a message is sent to the Twitter account.

Weather Station: Develop a Weather Station with a Raspberry Pi Zero W board, and monitor all the sensors with ThingSpeak and Twitter. The sensors used are DHT11 (humidity and temperature sensor) and BMP085 (barometric pressure and temperature sensor). Also, you can use new versions of this sensors without any problem.

Digital Image Processing: Make use of digital image processing with OpenCV on a Raspberry Pi 3. To achieve this goal, start from the software installation to make your own object classifiers and finally make an example to manipulate an object by means of an image in movement. This has many applications, ranging from recognizing people or objects, to creating your own video surveillance system.

Animations With Python And Pygame: The main goal of this project is to develop virtual animations of a human, animals and objects that are moved on a stage or image background. We will use Python and Pygame, these software tools are used to program games." 

Homemade Spectrometer: Kit made with the AS7262 (six colors) and AS7263 (near infrared) spectral sensors and the Raspberry Pi board. I have divided this project into three parts. The first section was done with the AS7262 six-color spectral sensor and the experiments were the construction of a filter spectrometer, and sensing colored solutions. The second section was made with the AS7263 NIR (near infrared) spectral sensor to assess plant foliage health, so it explains how to use the sensor's channel readings and the standard Normalized Difference Vegetation Index (NDVI) equation to calculate an estimated NDVI value, which is used to determines as “HEALTHY” or “UNHEALTHY” leaf.  

Object Classification Using Edge Impulse: Here we use Edge Impulse Studio, which is a machine learning platform that enables developers to generate Machine Learning trained models in the cloud and deploy them on single-board computer like the Raspberry Pi.

The links of this Ebook are:  

https://www.amazon.com/dp/B08HYC6CLN

https://payhip.com/b/yXv6

guillengap@gmail.com

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Book: "Autonomous Cars with Neural Networks"

 

INDEX

1. INTRODUCTION

2. AUTONOMOUS CAR WITH REDBOARD ARTEMIS ATP 

3. AUTONOMOUS CAR WITH UV LAMP

4. DATASHEET

 

Summary:

"This book contains information about two projects with autonomous robots and with the purposes shown below:

 

Machine learning and PID controller allow us to control an autonomous car to drive around an object. 

 

Ultraviolet germicidal irradiation (UVGI) is a disinfection method that uses short-wavelength ultraviolet C light to kill or inactivate microorganisms by destroying nucleic acids and disrupting their DNA, leaving them unable to perform vital cellular functions. UVGI is used in a variety of applications, such as food, air, and water purification, or treat biologically contaminated surfaces. Recent studies have shown that UV short-wave radiation is capable of eliminating COVID-19 viruses at the hospital level, thus improving the cleanliness of the intensive care area, general medicine rooms and individual rooms. Covid-19 is continuing to spread around the world, with around 246 million confirmed cases and more than 5 million deaths across almost 200 countries. Today health is a priority; and as main goal, this innovative idea helps us thrive in this new normal because has cost effective and useful to sanitize the whole home or objects by using artificial intelligence and voice commands."

The link of this eBook is:

https://payhip.com/b/Npf1g

Book: "Smart Robot Arm"

INDEX

    1. INTRODUCTION

    2. ROBOT ARM WITH VOICE COMMANDS

    3. ROBOT ARM WITH TENSORFLOW

    4. DATASHEET 

 

Summary:

"This design utilizes robotics in as a personal assistant! This is a collaborative robot arm in two versions to assist you in several tasks. The main goal is design a Collaborative Robot Arm with Artificial Intelligence, and Used as Assistant in: 1) Voice Command System and 2) Sorting Objects System.

 

FIRST VERSION:

Here the main functions to my first version are: a) controlling a bottle, b) controlling a bradboard, and c) controlling a box. Here I am using Artificial Intelligence (AI), but with hardware as Alexa Echo Dot, ESP32-WROOM-32, and Arduino Nano 33 BLE Sense; and free open source tools: FauxmoESP library.

 

SECOND VERSION:

Finally my last version, here I'm sorting objects by color and using TensorFlow with Arduino Nano 33 BLE Sense and Arduino Nano 33 IOT, this system detects blue, green and red balls to place them in their corresponding container."

The links of this Ebook are:

https://www.amazon.com/dp/B09PDXX1BJ

https://payhip.com/b/2tvZl

Book: "Collection of Arduino Projects"

 

INDEX

Chapter 1. Introduction

Chapter 2. Astronomical Clock

Chapter 3. RF Remote Control

Chapter 2. Three LED´s Lightness Control With Android Studio

Chapter 2. Automation Home With Arduino UNO

Chapter 2. Weather Station With Arduino UNO

Chapter 2. IoT Aquarium Monitoring

DATASHEET 

 

Summary:

"This book is a collection of my best publications old and new on projects made with the Arduino UNO board or with the Arduino IDE programming tool:

Astronomical Clock: This is a clock and calendar, also we can see on the TFT screen the astronomical data of the Moon in real time, making use of the DS3231 clock module.

RF Remote Control: This project shows us how we control a "Micro Robot Car" by mean of using a RF Remote Control, and a magnetic control (Infineon 3D Magnetic Sensor 2Go).

Three LED´s Lightness Control with Android Studio: In an android application we are going to control the lighting of three LEDs by means of sliding bars. An application of this project is the control of the lighting of a house.

Automation Home with Arduino UNO: this project is an example of a smart home prototype developed with Arduino UNO and App Inventor 2. We will be using a conventional Smartphone. The modules used are: HC-05 Bluetooth, PIR Motion Sensor, DHT11 Humidity Sensor, MQ2 Gas Sensor, LDR Light Detection Sensor, Servo, Fan and LED.

Weather Station with Arduino UNO: here I show you three examples of weather stations, the most important is the third, where the data sampled by the Humidity and Barometric Pressure sensors are captured and sent to the NOKIA LCD screen and to the serial port, later these data are graphically displayed on the computer through an application made with Visual Basic 6. The application is also programmed to save the data in a database made with SQL Server.

IoT Aquarium Monitoring: In this project I demonstrate that it's possible to use our technologies to monitor and protect life in water, aquariums, rivers, lagoons and seas. I've used the following technologies: Amazon Web Services, Soracom Air Global IoT SIM, and Seeed Wio LTE US version 4G, which is an Arduino and Grove compatible development board."

The links of this Ebook are:  

https://www.amazon.com/dp/B08K8L3B9R 

https://payhip.com/b/gIX4