Vision is easy for human brains. We can easily tell apart a tree, a bus, a dog, or an airplane. But its not the same with computers. It takes a lot of effort and skill to teach machines to ‘see’ like us. But humans have been successful in doing so. We have enabled machines with our natural skills to see, learn by example, and understand the world. With the help of computer vision and image recognition, we have taught machines to perform tasks involving vision. And when this capability is brought into businesses with a practical purpose, all this effort is worth it. 

Artificial intelligence encompasses several different approaches to solving problems. Computer vision, object detection, natural language processing, and other types of artificial intelligence help businesses and individuals automate processes, improve accuracy, and work more efficiently. The subset of AI known as computer vision centers around visual processing and offers benefits in a range of applications. 

Just a few decades ago, workplace safety in manufacturing used to be an afterthought. Workers in the manufacturing industry may recall many near-miss accidents that have occurred, especially related to heavy equipment and lack of safety controls. 

Computer vision in Artificial intelligence describes solutions that enable computers, software, or devices to analyze and categorize images. It gives machines the power to understand what they see and systematically arrange the data, giving them the capability to react to the information provided. Computer vision AI makes a machine view the world as humans.

Here are top 5 applications of computer vision in inventory management.

Computer Vision plays an important role in everyday life – bar code scanners, cashier-less stores, facial recognition, inventory visibility, visual search, etc. are all examples of technologies that apply some form of Computer Vision. In this blog, we take a deeper look at computer vision technology applications for sales outlets and their importance in the retail industry.

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Human beings are able to recognize and find meaning in the photos they come across in their day-to-day lives. Scientists imitate this human ability using computer vision, a method that helps computers acquire, process, analyze, and understand digital images by translating those images into numerical data.