Computer Vision – The Outline | Augmented Reality
In very simple terms Computer Vision (CV) is the phenomenon by which machines such as mobile phones or other hand held devices see and identify the surroundings. Just like how we can visually see our surroundings and understands what is in front of us, the same being made a reality in machines is called computer vision. Even though this concept sounds fairly simple we need to be aware of the fact that not even neuroscience has exactly found out how the mechanisms that lies between our eye and our brain that allows image identification is made possible. Therefore it would be an understatement to say that the complex phenomenon of understanding the environment in machines is a pretty tough job.
A common misconception is that many believe CV to be nothing more that converting the image in front of it into a pixel format, while this statement in itself is true it is not the complete entirety of the working. You must first figure out the mechanism of extracting information from those pixels and understand what they represent. One way to achieve this is to train the machine to understand the data by feeding it with ton loads of images of the same variety so that it can figure out patterns and identify them through various algorithms coded in it.
The concept of computer vision can be dated back as far as the 1970s but it was only very recently, with the introduction of more potential computation and digital information storage prowess that the technology launched off and can finally be utilized to its fullest potential. Another fascinating aspect is that the process of computer vision is in real time. With the introduction of ultra-fast chips and related hardware churning out and processing the data is near instantaneous. Computer Vision is indeed the future and an interesting statistic to note is that while the term ‘computer vision’ was barely mentioned in any news before 2015, in the past 3 years alone saw increase in news coverage on this topic by nearly 500%.
The reason for this sudden popularity is that CV helps to replicate the ‘human’ element in many functions. Seeing and analyzing the objects around us is quite natural for us humans but for a machine it isn’t so. But unlike humans who can get biased or overwhelmed with lots of information, a computer can handle vast amounts of data very potently. The accuracy at which a machine can perform this said task can never be achieved by even the most experienced of human beings. It also helps to eliminate mistakes due to tiredness, save time and cut costs significantly.
Naturally there exist several firms and companies that focus on the technology of Computer Vision. Even in our humble nation, many companies have emerged with the goal of computer vision in mind but only a handful of them have developed their own CV technology, notable among this list is iBoson Innovation who have developed their own CV version, named Quasar. What distinguishes them from the other plethora of firms that offer CV services is that they have successfully incorporated Quasar into their feather in cap Augmented Reality application – UniteAR which has succeeded in enabling plane detention, reduction of data redundancy and loading optimization – few features that even the so called AR giants have yet to achieve. Their Quasar to date remains the fastest, most efficient and lightest CV technology available in the market.
While it is evident that CV has ground breaking applications in many sectors it could also give rise to new forms of personal technology and new types of immersive media.