Mobile image recognition technology is a developing technology that aims to identify objects such as handbags, golf club in pictures, shoes, or videos through a tablet or smartphone sensors. The developing technology could be a breakthrough for the next form of mobile commerce possible in the next few years to allow shoppers to see products in use, take a photo of the products, and instantly buy the items from the online shop retails using your mobile phones.
The way the technology works is that if you are walking on the street and you notice someone wearing something you like, all you need is a photo of the fashion and find it in the stores. The mobile image recognition app should instantly provide you with identities of the style or whatever object you took the photo and offers you the various stores where it can be found and then offer the prices from three or more online retailers. However, the technology is still under development and it might take a few years to start seeing the results.
Today, the technology has been used in mobile applications to identify particular advertisements or specific products with unique contexts. For instance, iTraff Technology off application programming interface which allows mobile app developer to upload known billboard ad or images of products and it can recognize the images when the user snaps a photo of them with a mobile device. The technology so far is limited to many factors but has made significant progress to a more interactive view of the world around them.
Mobile image recognition (MIR) is being used by LTU Technologies founded by researchers and scientists. MIR is also utilized by some retailers in Europe and Asia for targeted m-commerce applications. In the next few years, we may see a rapid adoption of the technology by U.S. retailers. Google Goggles, which has been available for about three years, recognizes real world items that include products purchased online.
Many small or mid-sized online merchants are looking for ways to impress their customers with MIR applications that will offer accurate results response to a user’s visual query. Companies such as Slyce have been in the forefront to help retailers achieve this objective. One such retailer is Neiman Marcus, which has partnered with Slyce to enable its customers to search for latest fashion styles using image search. Slyce has being recognized as one of the leaders in the visual search industry.