AR / VR (Augmented Reality & Virtual Reality) hold countless everyday personal and business applications. One may engage them for shopping, for driving, and for so much more. Please have a look at the findings, based upon a few different industries…..

The Auto Industry

The Autopilot feature shown on countless Tesla cars holds to be one of the most relevant, modern, applicable features of the best of computer vision, showing it off for its full worth and ultimate value. Tesla driver - assistance, for these types of cars, began only back in 2014, less than a decade ago, and has since then evolved much, in just about every respect. Self - parking, lane centering, and a few other features were what computer vision managed to offer, through Tesla, at first, but since then, more has been in the works as technology and the human mind for innovation alike have both expanded.

A car that can drive itself, from point a to point z, in a matter of time, is the ultimate goal here --- at least, for now, it is. And the expected timeline of completion, many experts have hoped for, would be no later than the end of 2020 - 2021, respectively. And with such high standards in mind, thus, industry professionals in this sector have been hard at work, and more so now than at any other time in history. Consider that a fact.

Mighty AI, for instance, was one of the founding startups to this innovation and has always backed it with the weight of its full support. It still continues to do so today, firmly believing the auto industry ought to have a crucial say in computer vision advancement, incorporating AI or Artificial Intelligence. Autonomous cars tested and validated with multitudinous multi- and single- variate algorithms is but one of the concepts it’s been working on, as of late.

The Retail Industry

Retail services have likewise seen a tremendous upflair, now more than ever, in the last half of a decade alone, and it’s been due to the same concepts of properly integrating computer vision tech for their cause. Here is how it can work, for example : In January of last year, for instance, Amazon Go made itself available my means of a number of computers --- this type of automated store was considered truly one of its kind, and for good reasons. It was the first to only partially consider check - out lines and live cashiers, doing mostly everything by pre-set computer coded & programmed protocols, engaging online servers and much else.

Computer vision with sensor vision and deep learning programmed into it has done much, and with Amazon, this has certainly been the case. The customer enters the store, leaves with his or her products in hand, and does not have to worry about spending time at a checkout line ; he or she can simply have the amount owed billed directly to their interconnected Amazon account….or withdrawn from there in an instant. One may set the arrangements up ahead of time, as well, saving any preferences for billing, savings and checkout, all through the Amazon account connected --- doing everything from a single spot online.

This technology has yet to be finally perfected, with no margin of error whatsoever, yet it still shows to be on an impressive path forward. It shows much poise, thus far, even though a few earlier tests did detect that certain items were not ‘scanning’ or ‘checking out’, when it was tried with live people. Yet it is certainly on its way forward, as an application of computer vision and other modern AI…..

Mashgin is another retail solution also working hard toward the same end goals, quite similarly to what Amazon Go has been doing. Self - checkout kiosks, for one, are deeply in the works, using deep learning, robotic AI, computer vision, 3D image rendering and reconstruction, and much more. The goal with this organization, mainly, is to be able to one day eradicate the need for the everyday barcode, being able to have several items checked out without any scanning. Check out times can be reduced drastically, at the very least, by ten times or more ; dining halls and cafes are the main target buyers, for now.