The newest groundbreaking progression is the incorporation of artificial intelligence (AI). Today, I will talk to you about AI photography. And we will explore how AI is changing the world of photography.
Boraq Hamim Art News Website_ Photography is a technology that is constantly evolving. Every camera runs on some form of computer. So there are many ways to improve information processing. Photography is in constant flux with new lens technologies and equipment like drones.
Artificial intelligence is a technology with applications in almost any form of computing. This is especially evident where you need a human element to optimize a program.
AI is the process of machine learning. It is the simulation of human intelligence in a computer. Programs learn and keep the information as they progress.
AI produces accurate results due to its familiarity with its environment. The program DeepMind began as an AI playing the 1970s video game Breakout. It played game after game until it found the most efficient way to win.
If you apply this type of machine learning to photography, you could have a machine that theoretically takes perfect pictures!
In practice, there is no program yet with the formula for perfect framing and composition. But AI covers many processes that would be laborious for us to correct. So, in a nutshell, AI is here to improve our efficiency.
What is AI in Photography?
Manufacturers have integrated AI into photography for a few years now. If you have a smartphone, you already have a range of AI programs at your fingertips.
For example, AI in photography includes your camera’s computer identifying certain subjects. This identification leads to the program making automatic adjustments to the image. So let’s take a closer look at some examples of everyday AI photography.
Facial Recognition
Most people know that Apple uses facial recognition software to unlock its devices. This software learns your facial features and stores them.
Many photography companies have incorporated the same facial recognition into their cameras. The most common place is autofocusing.
A point-and-shoot camera’s primary function is to photograph people. Facial recognition can scan the scene in real-time and then identify if there are faces in an image. The camera will then prioritize the focus to be on the faces.
This removes the need for direct autofocusing on a subject’s face. It is a simple change but a huge step in efficiency. You can find this technology incorporated in most digital cameras.
Environment Recognition
Even how a camera reads the environment is part of an AI process. This is evident in smartphone camera settings like Apple’s Portrait mode.
The feature identifies a subject in the foreground. Then it simulates a shallow depth of field. Your subject is entirely in focus. But the background blurs behind it. Thus, it draws more attention to the subject you are trying to photograph.
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