IoT & Hardware
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You're reading from  Raspberry Pi Sensors

Product typeBook
Published inApr 2015
Publisher
ISBN-139781784393618
Edition1st Edition
Tools
Raspberry Pi
Concepts
Wearable Tech
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Author (1)
Rushi Gajjar
Rushi Gajjar
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Rushi Gajjar

Rushi Gajjar is an entrepreneur, embedded systems hardware developer and a lifetime electronics enthusiast. He works in the field of research and development of high-speed single-board embedded computers and wireless sensor nodes for the Internet of Things. Prior to that, his extensive work as a freelancer in the domain of electronics hardware design introduced him to rapid prototyping development boards and single board embedded computers such as the Raspberry Pi. In the spare time, he loves to develop the projects on Raspberry Pi including sensors, imaging, data logging, web-servers, and machine learning automation systems. He authored a DIY and hardware based book titled Raspberry Pi Sensors which takes deep dive in developing sensor interfacing based projects with Raspberry Pi. His vision encompasses connecting every entity in world to the Internet for enhancing the human living experience. https://www.linkedin.com/in/rushigajjarhttp://www.amazon.com/Raspberry-Pi-Sensors-Rushi-Gajjar/dp/1784393614/ref=sr_1_9?ie=UTF8&qid=1453884207&sr=8-9&keywords=raspberry+Pi+Sensorshttp://rushigajjar.blogspot.in/
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OpenCV

One of the most powerful and widely used cross-platform libraries for image processing is OpenCV, which can run on any hardware or software platform. It can be installed on the RasPi to get functionality such as face detection, finding contours, gesture recognition, motion tracking, 3D depth perception using two cameras, and many more complex algorithms for machine learning. OpenCV stands for Open Source Computer Vision. It was developed by Intel. It is basically written in the C++ language and can have full interfacing with Python, Java, or MATLAB. Check out http://opensource.org for the list of available open source libraries. With aiming for computational efficiency in mind, OpenCV is designed to work with multicore architectures. Writing OpenCV in C and C++ is common across the globe among image processing experts. OpenCV can also be written in the Python language, as the library has full development and supports functions in the Python script.

Computer vision is a quickly growing...

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Raspberry Pi Sensors
Published in: Apr 2015Publisher: ISBN-13: 9781784393618
© 2015 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Rushi Gajjar

Rushi Gajjar is an entrepreneur, embedded systems hardware developer and a lifetime electronics enthusiast. He works in the field of research and development of high-speed single-board embedded computers and wireless sensor nodes for the Internet of Things. Prior to that, his extensive work as a freelancer in the domain of electronics hardware design introduced him to rapid prototyping development boards and single board embedded computers such as the Raspberry Pi. In the spare time, he loves to develop the projects on Raspberry Pi including sensors, imaging, data logging, web-servers, and machine learning automation systems. He authored a DIY and hardware based book titled Raspberry Pi Sensors which takes deep dive in developing sensor interfacing based projects with Raspberry Pi. His vision encompasses connecting every entity in world to the Internet for enhancing the human living experience. https://www.linkedin.com/in/rushigajjarhttp://www.amazon.com/Raspberry-Pi-Sensors-Rushi-Gajjar/dp/1784393614/ref=sr_1_9?ie=UTF8&qid=1453884207&sr=8-9&keywords=raspberry+Pi+Sensorshttp://rushigajjar.blogspot.in/
Read more about Rushi Gajjar

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