Advances in computer vision AI have radically expanded the number of practical use cases for the technology. If your operation has any of the following 5 needs, you may want to consider employing a computer vision AI platform.

Crowd Analysis

Historically, businesses and organizations have used trigger-based systems to analyze crowds and deal with related counting needs. Computer vision tools, however, have reached the point they can manage these tasks simply using video.

A supermarket, for example, can use its surveillance cameras as data sources to do more than simply count customers coming and going. A computer vision AI platform can track customer movement through the store. This can make it easier to determine where there might be chokepoints in the building by mapping customers to the 2-D layout of the store and analyzing how they interact.

You can also use older videos to extend your analysis to previous periods. If you have footage from 10 years ago, you can analyze it and compare how the crowd has changed.

Quality Control

Manufacturers can train an AI using computer vision models to identify defects in products. Thanks to the advent of high-resolution cameras that can scan in different bands, you can search for defects in a variety of ways. You can also scan significantly more pieces because the system can analyze component quality on the fly. The system can then flag and separate potentially defective components for direct inspection by people.

Road Conditions and Vehicle Traffic

Just as you can track people using a computer vision AI platform, you also can check up on roads and vehicles. A municipality, for example, can obtain real-time data during a snowstorm. This makes it easier for decision-makers to determine where to deploy resources. Likewise, you can monitor traffic to see if there are congestion issues and accidents.

Medical Diagnostics

Computer vision and AI have also reached the point where medical practitioners use them to analyze X-rays and other types of scans. A doctor working with cues from an AI can examine images more closely and thoroughly than ever before. If the system flags something the doctor didn't see, they can then zoom in on the issue to study it further. This has led to notable improvements in diagnostics for respiratory diseases and cancer.

Rapid Inventory Processing

Using high-resolution cameras connected to a computer vision AI platform, you can quickly detect and scan all of the barcodes in a room. If someone pulls a box from one storage unit and places it in another, the system can even catalog its movement.

For more information, contact a company like Superb-AI Inc.

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