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/
Read more about Rushi Gajjar

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Amazing projects for you

With some knowledge on OpenCV, you can go ahead and read the manuals of OpenCV to gain more knowledge on how functions and arguments are passed. Initially, it can be somewhat difficult for you to start OpenCV using image pointers. There is an immense amount of help available at http://www.opencv.org. While taking help from the Internet and the code available from the official website, check for the OpenCV language (platform) first. It has been observed that when C code merges with C++ code, it doesn't work even after banging your head for hours. It is advised to keep The OpenCV Reference Manual (Current Release 2.4.9.0) with you while coding OpenCV.

It would be quite a good challenge for you to develop a project that fulfils the following requirements:

  • Capture live images using the interfaced camera, split the image into segments of the same size (say, four vertical segments), and compare it with the reference image. There will be a clear difference in one of the segments...

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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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