Artificial Intelligence

Machine vision: 6 use cases

In the previous article, we were already able to know the stages of evolution of computer vision over the years. Now, we want to explain in this opportunity the 6 use cases of this technology.

There are many companies that are thinking or have been rapidly introducing machine vision technology in various sectors to solve automation problems with computers that have the ability to observe. 

That is why we want to show you in this article, which are the sectors that mostly implement this technology and for this we rely on the article.


Computer vision is used in manufacturing industries for automated product inspection, object counting, process automation and to increase worker safety.


People detection is performed for intelligent perimeter surveillance. Another popular use case is deep face detection and facial recognition with better-than-human accuracy.


This sector includes automated animal monitoring to detect animal welfare and early detection of diseases and abnormalities.

Smart cities:

It is applied to crowd analysis, weapons detection, traffic analysis and vehicle counting, and infrastructure inspection.

Retail trade:

For example, video from retail store surveillance cameras can be used to track customer movement patterns and for people counting. It can also be used to analyze footfall to identify bottlenecks, customer service and waiting times.


We open this point especially because we know for sure that machine vision can be used in the insurance industry.

How? It can be applied to speed up settlement processes by analyzing photographic, documentary and video evidence submitted by policyholders. It also allows fraud prevention.

Currently, artificial vision is in an enviable state of progress and possibilities that has allowed us to reach more complex and robust applications such as LISA Claims.

Through our platform, we can control and manage all claims settlement processes thanks to the use of technology, guaranteeing:

Security, improved operational efficiency and greater policyholder satisfaction.

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