Computer vision is a branch of AI that teaches software to understand pictures and video. Instead of a person watching a camera feed, a trained model identifies objects, people, text or actions in each frame and turns them into usable data.
Models are trained on large sets of labelled images until they can recognise what they are looking for, such as a person, a pallet, a pizza topping or an empty shelf gap. Processing can run on the camera or an edge device in the store, or in the cloud, and the output is counts, alerts or measurements.
In retail it powers people counting, queue detection, shelf availability checks, self-checkout monitoring and shoplifting alerts. In quick service and hospitality it checks that orders are assembled correctly, monitors kitchen hygiene steps and tracks table turnover. It also underpins visual search and autonomous checkout.
Accuracy depends on lighting, camera placement and how well the model matches your environment, so ask for a trial in your own store. Cameras that identify individuals raise privacy obligations; anonymous counting is far simpler to justify. Check where video is processed and stored, and make sure signage and policies are in place.
Computer vision is the foundation for many other retail AI applications, so understanding it helps you judge vendor claims. Ask any vendor for a clear explanation of what the cameras capture, what is stored and who can see it, so you can answer customer and staff questions confidently.