How AR & VR will shape the Future of Work & Play
In recent years, several technological inventions are transforming the way we engage or interact with the world. The two major areas of attention are Augmented Reality and Virtual Reality. Today, all the major industrial sectors like real estate, retail, entertainment, and healthcare are integrating Augmented Reality and Virtual Reality technologies to create a remarkable user experience.
With each step forward in digitalization, the unprecedented development of applications in every industrial sector has rapidly grown.
Let's take look at how AR and VR technology is reshaping the world of Work and Play:
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 have 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.
With such high standards in mind, 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 of 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.
Retail services have likewise seen a tremendous flair, 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 by 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 another modern AI.
Mashing is another retail solution also working hard toward the same end goals, quite similar 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.