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You're reading from  Raspberry Pi 3 Home Automation Projects

Product typeBook
Published inNov 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781783283873
Edition1st Edition
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Authors (2):
Shantanu Bhadoria
Shantanu Bhadoria
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Shantanu Bhadoria

Shantanu Bhadoria is an avid traveler and the author of several popular open source projects in Perl, Python, Golang, and Node.js, including many IoT projects. When in Singapore, he works on paging and building control systems for skyscrapers and large campuses in Singapore, Hong Kong, and Macau. He has authored and contributed to public projects dealing with control over gyroscopes, accelerometers, magnetometers, altimeters, PWM generators, and other sensors and controllers, as well as sensor fusion algorithms such as Kalman filters. Shantanu's work in IoT and other fields can be accessed on his GitHub account with the name shantanubhadoria. He is also the author of Device::SMBus, a popular Perl library used to control devices over the I2C bus.
Read more about Shantanu Bhadoria

Ruben Oliva Ramos
Ruben Oliva Ramos
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Ruben Oliva Ramos

Ruben Oliva Ramos is a computer systems engineer from Tecnologico de Leon Institute, with a master's degree in computer and electronic systems engineering and a specialization in teleinformatics and networking from the University of Salle Bajio in Leon, Guanajuato, Mexico. He has more than 5 years of experience of developing web applications to control and monitor devices connected with Arduino and Raspberry Pi, using web frameworks and cloud services to build the Internet of Things applications. He is a mechatronics teacher at the University of Salle Bajio and teaches students of the master's degree in design and engineering of mechatronics systems. Ruben also works at Centro de Bachillerato Tecnologico Industrial 225 teaching subjects such as electronics, robotics and control, automation, and microcontrollers. He is a consultant and developer for projects in areas such as monitoring systems and datalogger data using technologies (such as Android, iOS, HTML5, and ASP.NET), databases (such as SQlite, MongoDB, and MySQL), web servers, hardware programming, and control and monitor systems for data acquisition and programming.
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Machine vision systems

In this section, we will see some concepts about machine vision, the requirements to understand detection, and processing the image to be applied to the machine vision system.

Introduction to machine vision

Machine vision is a machine with camera capabilities and an understanding of what objects are. The machine uses its camera to sense physical objects around its environment. Machine vision or computer vision is a field where a machine acquires, analyzes, and understands a still image or video. This field involves techniques such as image processing, pattern recognition, and machine learning.

The pattern recognition and machine learning fields help us teach our machine to understand images. For instance...

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Raspberry Pi 3 Home Automation Projects
Published in: Nov 2017Publisher: PacktISBN-13: 9781783283873

Authors (2)

author image
Shantanu Bhadoria

Shantanu Bhadoria is an avid traveler and the author of several popular open source projects in Perl, Python, Golang, and Node.js, including many IoT projects. When in Singapore, he works on paging and building control systems for skyscrapers and large campuses in Singapore, Hong Kong, and Macau. He has authored and contributed to public projects dealing with control over gyroscopes, accelerometers, magnetometers, altimeters, PWM generators, and other sensors and controllers, as well as sensor fusion algorithms such as Kalman filters. Shantanu's work in IoT and other fields can be accessed on his GitHub account with the name shantanubhadoria. He is also the author of Device::SMBus, a popular Perl library used to control devices over the I2C bus.
Read more about Shantanu Bhadoria

author image
Ruben Oliva Ramos

Ruben Oliva Ramos is a computer systems engineer from Tecnologico de Leon Institute, with a master's degree in computer and electronic systems engineering and a specialization in teleinformatics and networking from the University of Salle Bajio in Leon, Guanajuato, Mexico. He has more than 5 years of experience of developing web applications to control and monitor devices connected with Arduino and Raspberry Pi, using web frameworks and cloud services to build the Internet of Things applications. He is a mechatronics teacher at the University of Salle Bajio and teaches students of the master's degree in design and engineering of mechatronics systems. Ruben also works at Centro de Bachillerato Tecnologico Industrial 225 teaching subjects such as electronics, robotics and control, automation, and microcontrollers. He is a consultant and developer for projects in areas such as monitoring systems and datalogger data using technologies (such as Android, iOS, HTML5, and ASP.NET), databases (such as SQlite, MongoDB, and MySQL), web servers, hardware programming, and control and monitor systems for data acquisition and programming.
Read more about Ruben Oliva Ramos