In this blog, we have looked over face recognition and face detection technology in several posts. We have touched a bit on the history of face recognition and will focus more on that in the future. We have mentioned several ways that facial recognition software is being used now and took a peek at how it might be used in the future. In recent posts, we have touched on deep learning as well. The two work hand in hand to accomplish many things that at one time would have seemed impossible. In this article, we will look further into the future of face recognition and deep learning.
How Face Recognition Relates to Deep Learning
Before we explore more into the future of face recognition and deep learnings, let’s take a look at how these two relate. According to Kognitio, deep learning is a process that allows machines to use algorithms to solve complex problems. Although this process is inspired by the human brain, no human interaction is needed for deep learning. The way that deep learning algorithms actually learn is from data input. A lot of data is needed for this process.
Face Recognition is just one way that data is obtained and fed into the deep learning process. Images of a person’s face are found in photographs or video with face detection. The software then turns those images into data by analyzing the distance between the parts of the face, such as the distance between the eyes, the distance from the chin to the forehead, the length of the jawline and mouth, etc. That data can be stored for later use or face recognition can match that face with data already stored in order to identify the person in the photo or video.
This is Only the Beginning
Face recognition, as just one of the applications of Deep Learning, has been making a hugely successful climb ever since its early beginnings. As Smart Micros shares, the application “has witnessed successful practical implementations within a short span of time. From secure transactions to facial detection, the future of facial recognition looks bright and we’re currently at the beginning of the facial recognition revolution.”
As of now, face recognition technology has been mostly used for adding accuracy and effectiveness to security systems, but there are many other ways which this technology could benefit corporations, governments, marketers, and the public. As the article explains, “Cloud computing, edge processing, and Artificial Intelligence have played a crucial role in the advancement of computer systems.” There are many ways that face recognition software is being used today, and many more ways that it is likely to be used in the future.
As you already know, face recognition has the potential to be used for so much more than just a high tech mugshot database. In our next article, we will delve into the future of face recognition and deep learning and see where this technology could be taking us next.