Computer Vision Archives - Custom Web Development Blog

Category - Computer Vision

By means of Computer vision technology, it has become possible for machines to process visual information from images and videos – just like human vision can do. Computer vision helps solve a variety of tasks – say, digitizing the documents, defining the sizes and shapes, controlling product quality, controlling the movement, etc.

Development of a document recognition system using OpenCV and Tesseract

The feature of input of user data taken from printed documents for automated enterprise solutions is currently in great demand.

Such documents include:

  • Official standard state documents, such as passport, personal insurance policy number (SNILS), driver’s license, birth certificate, etc.
  • Printed documents used in the company document flow made according to company templates.

Our company focuses on development of software based on machine learning, computer vision, image processing, and optical character recognition. In this article, we describe our experience in development of a textual template recognition system which includes an Android mobile app and a template control server.

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OpenCV to line production!

Issues

Many companies that produce really healthy beverages often need to control the quality of their products at one of the final stages.

Today we are going to discuss not the issue of checking the quality of the drink itself, but the method to control the level of liquid in the bottle and the position of the pasted label with the help of web cameras and Computer Vision.
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Drops Counting

Greetings, dear readers! In this article, I’m going to share how I counted drops. Yes, you read that right. DROPS

It all began when our team started studying machine learning, or to be more precise, we studied Python and OpenCV. During the practice task, I had a chance to implement the algorithm that would count the falling drops in the given video or in real time. And now I’ll tell you how it all went.

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ChartRecorder: Computer Vision for Gas Flow Charts

Flow charts are widely used in gas industry. They record parameters of a gas flow (like pressure) on a paper disc. This data is then used to calculate gas volume passed through a pipe.


The chart recorder contains two or three pens driven by sensors. These pens plot traces on a rotating paper disk. The disk performs one revolution per day or week, rarely per month. The disk is replaced after one revolution.

Currently disks are processed manually. The operator uses the vector graphics editor to convert the scanned bitmap to contours and then to tabular data. This approach relies heavily on the operator’s attention and experience. There is a high probability of mistakes. After all, such job is really boring!

We have developed an algorithm that performs this job automatically. Given a bitmap with a scanned chart, it produces tabular representation of chart data.
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