WHAT IS AI CAMERA IN MOBILE PHONE.

GOOD MORNING DEAR READERS, TODAY I AM GOING TO TELL YOU , WHAT IS AI CAMERA IN MOBILE PHONE.

AI is a genre of computer science that examines if we can teach a computer to think or, at least, learn. It's generally split into subsets of technology that try to emulate what humans do, such as speech recognition, voice-to-text dictation, image recognition and face scanning, computer vision, and machine learning. What’s it got to do with cameras? Computational photography and time-saving photo editing, that’s what. And voice-activation

AI software

AI is about new kinds of software, initially to make up for smartphones’ lack of zoom lenses. “Software is becoming more and more important for smartphones because they have a physical lack of optics, so we’ve seen the rise of computational photography that tries to replicate an optical zoom,” says imaging analyst Arun Gill, Senior Market Analyst at Futuresource Consulting. “Top-end smartphones are increasingly featuring dual-lens cameras, but the Google Pixel 2 uses a single camera lens with computational photography to replicate an optical zoom and add various effects.” 
omputational photography is a digital image processing technique that uses algorithms to replace optical processes, and it seeks to improve image quality by using machine vision to identify the content of an image. “It's about taking studio effects that you achieve with Lightroom and Photoshop and making them accessible to people at the click of a button,” says Simon Fitzpatrick, Senior Director, Product Management at FotoNation, which provides much of the computational technology to camera brands. “So you're able to smooth the skin and get rid of blemishes, but not just by blurring it – you also get texture.” In the past, the technology behind ‘smooth skin’ and ‘beauty’ modes has essentially been about blurring the image to hide imperfections. “Now it’s about creating looks that are believable, and AI plays a key role in that,” says Fitzpatrick. “For example, we use AI to train algorithms about the features of people's faces.”
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