{"id":1583,"date":"2020-08-03T21:02:09","date_gmt":"2020-08-03T19:02:09","guid":{"rendered":"https:\/\/serengeti.pepwebdigital.hr\/?p=1583"},"modified":"2021-01-04T18:15:49","modified_gmt":"2021-01-04T17:15:49","slug":"the-rapid-rise-of-computer-vision-and-how-it-can-transform-your-business-model","status":"publish","type":"post","link":"https:\/\/serengetitech.com\/de\/business\/the-rapid-rise-of-computer-vision-and-how-it-can-transform-your-business-model\/","title":{"rendered":"The rapid rise of computer vision and how it can transform your business model"},"content":{"rendered":"\n

What is computer vision?<\/strong><\/h2>\n\n\n\n

It\u2019s mostly what you think it is: it\u2019s a combination of onboard artificial intelligence (AI) and cameras + sensors so that cameras can identify objects, count people, find distances between two objects, and more. It\u2019s gotten to the point where there are \u201chobby kits\u201d for computer vision, including one called OpenCV AI (OAK), which is trying to allow people to make smart devices at lower cost and lower power output.<\/a> (They even have a Kickstarter<\/a>.)<\/p>\n\n\n\n

At a professional level, though, computer vision is much more complicated and needs to be executed with discrete cameras, a lot of software development work, and multiple chips. There have been a number of notable startups in the computer vision space, including GrokStyle, which started in academia, worked with IKEA, and eventually got acquired by Facebook.<\/a> GrokStyle founders even note that computer vision started as a 1966 summer intern project (!) at MIT, where Gerald Jay Sussman was told to link a computer to a camera and get the computer to \u201cdescribe what it saw.\u201d<\/a><\/p>\n\n\n\n

Now, over 50 years later, computer vision is used in tons of different ways, including:<\/p>\n\n\n