The trouble with computers is that before they can do anything, they must be taught every small task involved in performing the larger one. For example, before a computer can learn to identify an image it must first learn to see. Once it learns to see, it must learn how to tell one object from another. Computers fist appeared in World War II, and have only just become to truly become capable of image recognition.
Computer image recognition refers to any program which is designed to teach a computer how to isolate an image in a scene, search for the image in its database, and then report what that image is. The ultimate goal is that a compute should be able to be asked “is there a dog,” and the program will identify all possible variants of dog before wanderings. Looking for dogs has become an industry litmus test for image recognition, but it is not the practical application. One possible use for image recognition is to look for missing persons in security cameras. It may sound like something out of a sci fi movie, but with a program that can identify a face even if the angle is awkward or the hairstyle has changed, the fiction may soon become fact.
Another use is for luggage searches. At airports, searching for explosives and weapons in carry ons is a security must. At present, humans must look for things resembling contraband objects before they get onto the plane. Unfortunately, humans are often wrong. Airport security is littered with false positives and missed security risks. Image recognition can be used to instantaneously search a bag or a person and mark anything that fits the profile of a potentially hazardous item. Once perfected, the software will make traveling significantly safer and make airport security less of a hassle.
Slyce is a leading image recognition company. They have pioneered mobile image recognition technology on smartphones. The company has turned the power of visual searches to the shopping world. Working with retailers such as Neiman Marcus and Tilly’s, Slyce has turned image recognition into profits. Their work has been proved to boost sales by allowing customers to instantly identify and purchase a product as soon as they see it on the street. Slyce uses image recognition to identify what the program is looking at, and then uses further recognition for things like material and accessories to find the exact match.