Computer vision is a field of artificial intelligence and machine learning that studies the technologies and tools that allow for training computers to perceive and interpret visual information from the real world. ‘Seeing’ the world is the easy part: for that, you just need a camera. However, simply connecting a camera to a computer is not enough.
The challenging part is to classify and interpret the objects in images and videos, the relationship between them, and the context of what is going on. What we want computers to do is to be able to explain what is in an image,video footage, or real-time video stream.
Computer vision reacts to images based only on the data that is presented—and, importantly, all of the data.
The brain works fast and efficiently, but computers are better at multi tasking, which can allow them to deliver faster results for some applications.
Once a computer has been trained, it can repeat the same tasks with minimal cost—and even continues to learn while it does this.This can save countless hours of manual labor and the associated costs.
When a computer looks at an image with a specific goal, the irrelevant information is not taken into account.
Computer vision has been used to enhance the customer experience both online and in retail stores.
It's no secret that machines never make any mistakes. Likewise, computer vision systems with image-processing capabilities will commit zero mistakes, unlike humans.