Recognition task comes easy to humans, not so easy for computers with a basic system. A slight glance of someone or something, and a person with proper vision is able to recognize the subject. But when it comes to computers, in order for them to be able to recognize, specific types of information need to be fed into the system. This means building a software, tool or a piece of code with variables and constraints and making the computer figure out the item in question. That is exactly what image recognition is all about.
Today’s computers are getting smarter day by day. Apart from text and signs, they can now detect any thing that is displayed. What is interesting in this mechanism is the involvement of artificial intelligence ,and computers are better at processing images when the right system is in place. In other words, with a reliable image recognition software or tool, the computer can perform improved search in identifying the image in question. This means relying on text captions and meta data and storing billions of images in the database.
So how do computers achieve the task of recognizing an image? The approach is simple. The computer looks for sequences and patterns in numerical data while analyzing the pixels. These pixels are interpreted into a series of numbers. The number is then compared with the already stored data in the database.
Beyond cataloging simple images and information pertaining to them, these software have other potential applications as well. Some software are designed and used to recognize images of buildings. Just a quick photo of the building and the software will be able to retrieve the information of that building in a second. Image recognition system is also helpful in cryptography. For example, this software is used in steganography where messages are hidden for certain applications or purpose. To be precise, messages are hidden in images which are then processed to establish the authenticity of the data.
Image recognition technique is used in robotics as well, as seen by companies like Slyce. With the development of more and more algorithms that are both flexible and sophisticated, robots are able to analyze and recognize various elements in their environments.