AI Camera: What Is An AI-Powered Camera And What Does It Do? Smartphones now have AI capabilities that allow them to take stunning photos that can compete with those taken with dedicated cameras.
Smartphone cameras lack the space for bulky components like image sensors and lenses because of the devices’ small footprints. Because of this difficulty, companies are increasingly turning to computational photography methods in order to improve image quality, and the advent of AI has catapulted these methods to new heights.
Artificial intelligence (AI) lays the groundwork for a wide range of technological advancements in smart photography, including image identification and computational imagery processing technologies.
What is AI Camera?
AI is the study and development of computer systems with the goal of simulating human intelligence in computation, learning, and behavior. AI Camera: What Is An AI-Powered Camera And What Does It Do?
High-powered electronic appliances now come preloaded with the intelligence of AI, which not only instructs it to accomplish a particular job but also programs it to learn and adapt to the patterns of its users.
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Simply put, AI cameras are cameras that make intelligent use of AI software to process still photos and moving video.
The heart of any AI-powered camera is typically computational photography. Computational photography can be broken down into the several subfields of human-like technology that exist today, such as speech recognition, voice-to-text composition, image/face recognition, computer vision, and machine learning.
What Sets an AI Camera Apart?
That’s interesting and all, but what exactly is the big deal about AI cameras? Well, these high-tech cameras aid in saving time by intelligently completing the necessary picture processing/enhancement in real-time, which would otherwise need hours of toiling with the image in Photoshop or Lighthouse—professional-grade image editing software.
Capability to Emulate Hardware
The Google Pixel 3 is widely considered to have a top-notch camera. And the most surprising thing about it is that it only has one camera instead of the two that have become the norm for high-end smartphones. A top-tier camera is still a strong suit.
Whence comes to the juice for the camera? There’s no point in guessing why; it’s the phone’s built-in artificial intelligence technology. Artificial intelligence relies on large amounts of data, and Google has amassed a mountain of it over the years. As a result of its massive user base, Google is light years ahead of its rivals.
Using this information, the tech giant can create precise computational algorithms that give the camera superpowers that other phones can only achieve with the use of supplementary hardware, such as numerous camera lenses or specialized sensors.
The Google Pixel’s advanced artificial intelligence technology more than makes up for the phone’s single lens. Its camera is capable of both optical zooming and the bokeh effect.
Despite the fact that many smartphone cameras already provide the bokeh effect without additional lenses, it is truly remarkable that optical zoom can be emulated without hardware.
Google’s Top Shot is another practical AI-enhanced function. Let’s say you’re trying to shoot a group photo but someone in the shot blinks.
Somebody is constantly doing something in group photos that ruins the moment for everyone. Perhaps a member of the group trembles, or squints their eyes in the sunlight, or perhaps an unwelcome piece of fluff floats into the picture.
When this occurs, Google’s Top Shot AI can help by recording a short video of the before and after a photo is taken.
This new feature of Google’s camera software examines the time just before and after a photo is taken. In this way, you won’t have to settle for a number of subpar images, and instead, you’ll be presented with a more suitable alternative.
How Does AI Camera Work?
An artificially intelligent camera needs to learn about the real environment before it can perform any of its tricks.
Manufacturers of smartphones employ machine learning to create image recognition engines that employ a neural network that has been pre-trained on millions of photos.
This machine learning gives an AI camera the ability to recognize scenes, lighting, and even camera orientation with increasing accuracy. Because of this, your camera can tell the difference between a human subject and, say, a piece of food, or between an animal and its natural habitat. In the end, the AI camera decides on the best exposure and color settings for the best possible photo.
We all know that, unlike DSLR cameras, smartphone cameras can’t zoom in optically. That’s why everything the AI Camera performs may be classified as computational photography. That’s an algorithm-based approach to digital image processing for better picture quality.
The Japanese word “bokeh” means “blur,” and one of the more well-known effects is the ability to artificially control the depth of field (also known as the “Bokeh effect”). Beauty mode can also be used to eliminate imperfections and make the skin look more flawless. The likes of Photoshop and Lightroom were formerly responsible for these and other effects.
