recognizing things

Computer Vision

As formidably as the human eye collaborates with our brain and our muscles, today’s AI tools can do a great job in processing visual information, particularly when it comes to recognizing certain patterns and spotting small differences that we have a hard time to even notice. The biggest advantages are that computers can’t get tired and don’t have problems working in environments where humans are unsafe or uncomfortable.

Below, we explain a few key applications of artificial intelligence in the processing of visual data, for example the use of optical character recognition (OCR) together with natural language processing (NLP), the tracking of movements, or the recognition of patterns to determine crowd sizes or identify certain items.

Reading Documents

1

Optical Character Recognition (OCR) has been around for a while, but it only becomes really powerful when combined with Artificial Intelligence.  This enables understanding almost any document in your business context, filling data tables accurately, and taking decisions about how to handle the input.

Photo by <a href="https://unsplash.com/@ml1989?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash">Michael Walter</a> on <a href="https://unsplash.com/photos/official-receipt-on-white-surface-iJMitgqRaZ8?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash">Unsplash</a>

Finding Irregularities

 

Photo by <a href="https://unsplash.com/@alivka?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash">Alice Butenko</a> on <a href="https://unsplash.com/photos/yellow-and-white-floral-textile-zstWUZFj77w?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash">Unsplash</a>

Finding patterns in still and moving images, and detecting even the smallest changes is something AI solutions do much bettter than the human eye, which is trained on filtering out unimportant things. No matter if it concerns identifing irregularities in assembly lines or finding trespassers where no humans should be, AI does a great job here.

2

Counting and Sorting

3

How many people are in this crowd? Is an item that comes from the assembly line complete? How much water is flowing in this river? These are questions that can be answered easily by well-trained AI solutions. They often can replace complicated and expensive sensing technologies or hours and hours of human labor.

Photo by <a href="https://unsplash.com/@curranrob?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash">Rob Curran</a> on <a href="https://unsplash.com/photos/grascale-photo-of-people-standing-on-ground-sUXXO3xPBYo?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash">Unsplash</a>

Item Recognition

Photo by <a href="https://unsplash.com/@picoftasty?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash">Mae Mu</a> on <a href="https://unsplash.com/photos/two-cherries-vbAEHCrvXZ0?utm_content=creditCopyText&utm_medium=referral&utm_source=unsplash">Unsplash</a>

Finding patterns in still and moving images, and detecting even the smallest changes is something AI solutions do much bettter than the human eye, which is trained on filtering out unimportant things. No matter if it concerns identifing irregularities in assembly lines or finding trespassers where no humans should be, AI does a great job here.

4

Tracking Motion

5

Tracking and interpreting even the smallest motion is something we can do with AI today. Not only under normal circumstances, but also at night and following events happening at high speed. This enables us to find out what is happening, identify irregularities in assembly lines or trespassers on a site, hardly any problem is unsolvable.

Image by Augus Phlieger on unsplash.com