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Introduction

With the increase in the automobiles on the road, the competition is rising as well. Each company is striving to produce better cars. Moreover, they have quantity in their focus too. In 2019, near to 92 million vehicles were produced worldwide. But with such a large number of automobiles in the production, the chances of production errors have increased. So how can you resolve this issue? Computer vision is helping some of the leading automotive industry to do that.

But what is this technology? How is it helping the industry? And how can it be used? If you have all these questions, then you simply need to read this article to get the answers!

What is Computer Vision?

Probably you know about artificial intelligence. Whenever the term comes to our mind we think about walking-talking robots. But that’s not the case. AI is all about training computer to perform operations without human interference. And to be honest this technology surrounds us.

Computer vision is an AI based technology. It is also known as machine vision or vision technology. This technology uses machine learning algorithms to extracts meaningful data from images. Machine vision can identify objects in the real field and categorize them in seconds. Categorization of objects happen by comparing the input with the existential information in the database. These images are mainly collected from multiple cameras. Machine vision includes three steps – image acquisition, image processing and image analysis.

  • Acquisition – It involves collection of images from CCTV or surveillance cameras.
  • Processing – Here the images are converted into meaningful data with the help of ML algorithms.
  • Analysis – The processed data is then analyzed by an analytics system to help with better decision making and problem solving.

The process has provided immense help to several industries across the globe.  The four main functions of this technology include:

  • Providing security
  • Improving standard methods of production
  • Monitoring and maintaining production quality
  • Providing advanced safety

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