September 2017
Intermediate to advanced
206 pages
4h 34m
English
Content preview from Intelligent IoT Projects in 7 Days
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Detecting coins using optical sensing
One of the common methods to detect a coin is using optical sensors such as cameras. We can identify various coin models. You can connect your camera to embedded systems such as Raspberry Pi. Then, you can perform image processing using OpenCV. We will try this on next. Please install OpenCV for your platform. Please read http://opencv.org for installation process.
For testing, we'll develop a Python application to detect coins. I'll use Euro coins for demonstration. The application will detect 1 euro. The easier method to detect coins is to implement template matching. We extract an image as a source for a template.
Then, we try to match that image:
To write a program, your platform should have OpenCV ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.