Our brains are wired in a way that they can differentiate between objects, both living and non-living by simply looking at them. In fact, the recognition of objects and a situation through visualization is the fastest way to gather, as well as to relate information. This becomes a pretty big deal for computers where a vast amount of data has to be stuffed into it, before the computer can perform an operation on its own. Ironically, with each passing day, it is becoming essential for machines to identify objects through facial recognition, so that humans can take the next big step towards a more scientifically advanced social mechanism. So, what progress have we really made in that respect?
"There's a lot of research in the direction of enabling human thoughts to be able to control computing devices and physical objects too. I always have a lot of writing to do. When I lay down to go to sleep, paragraphs just come to me. Wouldn't you like a device that would capture that flow of thoughts and store it somewhere -- put it on a screen, put it in Word?" -- Dan Olds, analyst at management consulting company OrionX. The meteoric rise of the Internet of Things (IoT) carries the potential for a future that includes perceptual computing.
Facial recognition technology has dominated discussions in technology circles for some time now. Faced with increased surveillance in public spaces, it has become imperative for stakeholders to have some input on future deployments of these novel technologies. More importantly, the general public should have some degree of understanding of facial recognition and how it's being used today. Facial recognition is a term used to refer to technologies used to analyze and recognize faces from video recordings and still images. Advancements in image processing and AI have enabled today's computer to read even the subtlest details in the human face like eyelashes to differentiate people.
Computerized face recognition is seen by many analysts as the optimal means to prevent unauthorized access to computer systems. Facial recognition also has other applications, like improving social networks and the curating of photographs for news media. To be efficient systems need to enable a computer to estimate with precision a person's age based on the analysis of their face. The new advancement comes from the Department of Electronics and Telecommunication Engineering, at the Shri Guru Gobind Singhji Institute of Engineering and Technology, in Vishnupuri, Nanded, India. The researchers suggest that age classification will add a tighter aspect to security systems and surveillance.
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