12 Game-Changing Applications of Computer Vision

Computer vision (vision AI) is a type of artificial intelligence that uses computers, machine learning, and deep learning algorithms to process and analyze visual data from cameras and other sensors. It's often leveraged to better understand people and objects captured on camera — and, as you might expect, the real-world applications of the technology are vast.

From facial recognition to sports analytics, computer vision applications have the potential to be major disruptors across a variety of industries. Read on to learn about popular computer vision applications and how this technology is already revolutionizing various industries.

1. Facial Recognition

Facial recognition combines cameras and advanced AI to identify a person based on their facial features. Commonly used in security, surveillance, and access control situations, it captures facial features via image or video and then compares that data to a pre-existing database to generate possible matches.

Perhaps the best example of facial recognition via vision AI is the Face ID unlock feature on the latest versions of the iPhone. Another example is image processing in biometric security to prevent unauthorized user access in facilities.

There are however ethical concerns associated with facial recognition technology, including privacy and consent. Luckily, facial blurring APIs can be applied to applications, simply detecting that there are people, but not identifying who they are. This is very useful in industrial environments, where operators need to be notified if workers enter unsafe, hazardous zones.?

2. Object Detection

Object detection is by far the most common application of computer vision, with applications ranging from retail inventory management to industrial safety. Object detection leverages computer vision and image and video data to find or identify objects. In some applications, humans are alerted if certain events occur (e.g. a machine breakdown or a person entering a restricted area). In other applications, like with autonomous vehicles, an automated reaction occurs (e.g. a car breaking when an obstacle is detected)...

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