Much like anything else that defines humanity, humans take for granted their advanced vision and recognition. In everyday life, it’s unnecessary to think about why and how we function like we do. It’s autonomous. But hasn’t everyone looked at a shirt, a pair of shoes, a particularly nifty wrench, or anything else and wondered to themselves that they’d like one for themselves? Haven’t we all had a moment of disappointment when we hear the owner forgot where they bought it? Sure, consumers can take the time out to research but it takes time and effort that not everyone is willing to expend, especially when there is no guarantee they can actually find the exact product they’re looking for.
Well, necessity is the mother of invention.
Image recognition, according to TechCrunch, is revolutionizing the way people interact with technology. Developers have taken the time out to deconstruct not only the literal mechanics of sight but also the abstraction involved with taking information and doing something with it. Artificial computer intelligence is making leaps and bounds as research is poured into it, making it possible for a computer to see a red, round object and tell whether it’s a tomato or an apple. Of course, the process isn’t perfect. While Google has a great visual search tool for occasions where users don’t know what something is but want to find out, it is limited. Unless the picture they search already exists on the internet, images tends to go based on pixel colors or what the engine thinks the image might relate to.
Product recognition companies like Slyce have taken the time and initiative to meld the mechanics of image recognition with boundless information stored on Internet servers in a cohesive way. This technology figures out how to take the guesswork out of image recognition. Visual searching has revolutionized consumerism; it has both invented a mechanic to replicate the actual process of human recognition and removed the margin of error due to faulty individual recall. With a tool like the one Slyce offers, consumers have the luxury of seeing something they’re interested in and use their phone cameras in order to search a database that uses visual indicators in order to match up the object with a name and even somewhere they can purchase it.