{"id":1536,"date":"2019-06-27T10:25:19","date_gmt":"2019-06-27T07:25:19","guid":{"rendered":"https:\/\/imagga.com\/blog\/?p=1536"},"modified":"2019-12-16T16:40:18","modified_gmt":"2019-12-16T13:40:18","slug":"7-image-recognition-uses-of-the-future","status":"publish","type":"post","link":"https:\/\/imagga.com\/blog\/7-image-recognition-uses-of-the-future\/","title":{"rendered":"7 Image Recognition Applications of the Future"},"content":{"rendered":"

Did you know that <\/span>image recognition<\/span><\/a> is one of the main technologies that skyrockets the development of self-driving cars?<\/span><\/p>\n

Image identification powered by innovative machine learning has already been embedded in a number of fields with impressive success. It is used for <\/span>automated image organization of large databases and visual websites<\/span><\/a>, as well as facial recognition <\/a><\/span>on social networks such as Facebook<\/span>. Image recognition makes <\/span>image classification for stock websites<\/span><\/a> easier, and even fuels marketers\u2019 creativity by enabling them <\/span>to craft interactive brand campaigns<\/span><\/a>. \u00a0<\/span><\/p>\n

Beyond the common uses of image recognition we have gotten accustomed to, the revolutionizing technology goes far beyond our imagination. Here are seven daring applications of computer vision that might as well belong in a science fiction novel – but are getting very close to reality today. <\/span><\/p>\n

#1. Creating city guides <\/span><\/h2>\n

Can you imagine choosing your next travel destination on the basis of real-time location information from Instagram photos that other tourists have posted? Well, it\u2019s already out there. Jetpac created its <\/span>virtual \u201ccity guides\u201d back in 2013<\/span> b<\/span>y<\/span> u<\/span>s<\/span>i<\/span>n<\/span>g<\/span> s<\/span>h<\/span>a<\/span>r<\/span>e<\/span>d<\/span> v<\/span>i<\/span>s<\/span>u<\/span>a<\/span>ls<\/span> f<\/span>r<\/span>o<\/span>m<\/span> I<\/span>n<\/span>s<\/span>t<\/span>a<\/span>g<\/span>r<\/span>a<\/span>m<\/span>. <\/span><\/a><\/p>\n

By employing image recognition, Jetpac caught visual cues in the photos and analyzed them to offer live data to its users. For example, on the basis of images, the app could tell you whether a cafe in Berlin is frequented by hipsters, or it\u2019s a wild country bar. This way, users receive local customized recommendations at-a-glance. \u00a0<\/span><\/p>\n

In August 2014, <\/span>Jetpac was acquired by Google<\/span><\/a>, joining the company\u2019s Knowledge team. Its knowhow is said to be helping Google\u2019s development of visual search and Google Glass, the \u2018ubiquitous computer\u2019 trial of the tech giant. <\/span><\/p>\n

#2. Powering self-driving cars <\/span><\/h2>\n

In the last years, self-driving cars are the buzz in the auto industry and the tech alike. Autonomous vehicles are already being actively tested on U.S. roads as we speak. <\/span>Forty-four companies are currently working<\/span><\/a> on different versions of self-driving vehicles. Computer vision is one of the main technologies that makes these advancements possible, and is fueling their rapid development and enhanced safety features. <\/span><\/p>\n

To enable autonomous driving, artificial intelligence is being taught to recognize various objects on roads. They include pathways, moving objects, vehicles, and people. Image recognition technology can also predict speed, location and behavior of other objects in motion. <\/span>AI companies such as AImotive are also instructing their software<\/span><\/a> to adapt to different driving styles and conditions. Researchers are close to <\/span>creating AI for self-driving cars that can even see in the dark<\/span><\/a>.<\/span><\/p>\n