The technology that holds the bar high for the many recent discoveries and breakthroughs it achieved in many fields. But in one particularly exciting and vital field, technology pushed the boundaries of what searching and acquiring information means, and that is, of course, the technology of image processing.
1. Photo recognition
One of the most important breakthroughs in security and information technology, as well as image technology is the ability to program a piece of software to work with its hardware to identify certain variables and similarities in images, and then turn that into acquired knowledge. The simplest example of this is the photo recognition used in smartphones. While Apple says that their laser motion sensors are safer than camera footage, the image processing that some modern-day smartphones implement into their frontal cameras can detect even the smallest of facial features that can help identify the user.
1.1 examples of photo recognition
One+ is one of the companies that gave their camera sensors the ability to detect whether the user’s eyes are open or shut so that no one can unlock the phone by opening it when they sleep. And they adjusted the processing power to detect facial changes like facial hair and accessories.
1.2 Google photo recognition
The avid user of Google’s search engine may notice a slight difference in the top left corner of their photo user interface. That is because their Artificial intelligence system allows for machine learning, and the process by which it identifies areas, objects, and people is the result of giving the AI numerous amounts of data and telling it which one is the one to take.
Google has had the credit for the constant development of this technology, mainly because they created the hardware for it, but it also due to their dedication to said hardware. The simple act of pressing a button or touching a screen to locate any place or a product from a picture then give its proper search result in real-time is a specific feature that comes with hardware optimization as well as a lot of data processing.
2. Image processing
The most common definition in image technology is the process of scanning digital images to look for clues or features that can determine a result; that process is executable via algorithmic decisions that lead to an outcome. The reason why algorithms are the ideal tool for this sort of job is that they are the only consistent force that can process that amount of data in a short period. For example, the way it works is that the algorithm receives pictures of various objects that are vegetables and others that are not vegetables; once enough data reaches the mainframe of the algorithm, then it will be able to differentiate between the two and spot vegetables in any picture that is in the grid. And it is the same thing for human faces and animals, though with more details and distinctive features.
2.1 image processing features
There are many implications of image processing that make use of its natural intellect, but perhaps the most noteworthy one was in the field of photography. The image quality that is in use for computing devices such as smartphones used to be very disoriented, but it evolved since then and made the most of the development in image technology. The same image processing that identifies the color and shape of the object to determine its nature is a great tool to determine the contrast level and the saturation needed to take the best possible picture of it.
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Originally published on Live Positively.