Image recognition technology is not new. However, companies are finding new, innovative ways to apply this to their marketing and traffic. With the introduction of Pinterest, the visual search aspect drew consumers to sites and products on sight alone.
Facebook has been using facial recognition for years. They are constantly updating their software to perfect the art that goes into image recognition, making it easier for their users to ‘tag’ their friends and family in photos. But that is not the only use. There is an underlying marketing tool in this software, knowing their audience, not by only likes, shares, or views, but also by a specific person.
Some companies specialize in recognizing visual images and spitting out the information. For instance, say a stray cat strode up a set of steps. The homeowner was curious as to the breed, potential sicknesses, etc. They could take a picture of the potential rescue and send it to an app specifically made to identify the visual uploads. Data would be returned in the form of information. This is image recognition at work.
Slyce was founded in 2012 has perfected the art of image recognition. By taking a picture or scanning a QH, a machine-readable code that generally consists of black and white squares, and sending the image, price and availability will pop up as quickly as 1 second. While 3d images and video come back with results in 5 seconds. They are ahead of the game, as predictions have the market of image recognition doubling by 2020.
Image recognition allows consumers to search for items or ideas that they do not have the words to describe or time to type which allows real life and technology to collide in an easy access world of its own. Tech companies will continue to multiply and attempt to copy developing image recognition and the way that computers and people learn. Eventually, people will be able to search anything without the use of a keyboard.