Artificial intelligence (AI): Software algorithms that are capable of performing tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. AI is an "umbrella" concept that is made up of numerous subfields such as machine learning, which focuses on the development of programs that can teach themselves to learn, understand, reason, plan, and act (i.e., become more "intelligent") when exposed to new data in the right quantities. Augmented reality (AR): Addition of information or visuals to the physical world, via a graphics and/or audio overlay, to improve the user experience for a task or a product. This "augmentation" of the real world is achieved via supplemental devices that render and display said information. AR is distinct from Virtual Reality (VR); the latter being designed and used to re-create reality within a confined experience.
Augmented reality (AR) refers to the combination of real and virtual worlds (computer-generated). A real image is captured on video, while that real-world image is "augmented" with layers of digital information. Some people confuse AR with virtual reality. Virtual reality (VR) is a complete immersive experience that shuts out the real world. Augmented reality superimposes a computer generated (CGI) video onto a camera captured video, giving the impression that the CGI objects appear to have a fixed location in the real world.
Augmented-reality headsets have long promised to turn unskilled tinkerers into instant experts. Whether you want to change the oil in your car or cut an onion so it doesn't make you cry, a headset or tablet will paint your surroundings with instructions guiding you like an experienced pro, patiently correcting any missteps along the way. Sounds great, so what's the hold-up? Producing the content has always been tricky and expensive. That's why AR tutorials are generally used only by the kinds of companies that have a fortune to spend, for example on fighter jet maintenance tutorials.
Researchers at Purdue University are approaching virtual reality with a concept that uses powerful learning algorithms from a "deep learning" software that they are calling DeepHand. Specifically, the research team is addressing the problem of accurate hand tracking in virtual reality and augmented reality and proposing an interesting solution involving neural networks and a multitude of 3D sensors. The thought process behind this experiment makes sense given the increasing importance of powerful and accurate hand tracking in augmented reality and human-computer interfaces. In both augmented reality and virtual reality, better hand tracking means a better user experience. In real life, hand movements are something that we generally take for granted (i.e.
We might soon see a mechanic put on augmented-reality glasses that will show him how to repair a car step-by-step. But the same glasses will also record his slightest movement making it possible to know how long it took him to finish the job, whether he needs to be sent into training… or find a new job.