Cameras of the future are now equipped with artificial intelligence (AI). Cameras have been a part of our smart devices for years, but they haven’t had “minds” of their own until now. There is currently no AI functionality in cameras that are part of large-scale surveillance systems. Until now, that is.
Auto-photography using machine learning is possible with this camera, which can be clipped onto any surface. When photographing humans and animals, the camera responds to lighting, facial expressions, and other common characteristics of good photographs. A 15-second burst of photos is taken when the camera detects something noteworthy happening, ensuring that the moment is captured in its entirety.
As we know and love, photography may seem to have been overtaken by a dystopian future, but this isn’t the case at all. Let’s take a closer look at how AI as a platform might be helpful.
What is an AI camera?
AI as a platform is starting of a new age. It’s a branch of computer science that aims to teach computers to think, learn, and carry out tasks like humans. AI at edge is a subfield of computer science. Rather than being preprogrammed to perform a specific task, high-end electronic appliances are now equipped with artificial intelligence (AI), which allows them to adapt to their users’ unique patterns of behaviour and preferences. Some cameras use artificial intelligence programmes to process images and videos more effectively.
An AI at edge camera is usually built around computational photography. There are many subsets of computational photography, such as voice recognition, voice-to-text composition, image/face recognition, computer vision, and machine learning, attempting to mimic human behaviour.
What Is So Special About an AI Camera?
To be clear, these cutting-edge cameras help save time by intelligently performing the necessary image processing and enhancement in real-time, which would otherwise necessitate hours of toiling with the image on Photoshop or Lighthouse—commercial-grade photo editing software.
Recognition of a person’s face
Facial recognition is the most common unlocking an iPhone 12 running iOS 12. AI is responsible for the face unlocking function. Facial recognition technology is now available on smartphones other than iPhones. Using facial recognition, a user’s face is analysed and stored. Whether you’ve had your dreadlocks for years or you’ve shaved them all off, your phone will still be able to recognise you and unlock it if you happen to be its owner. Your face isn’t going to go unnoticed because of these changes.
For biometrics applications, face recognition quickly takes over as the go-to authentication option. Even in high-security settings and applications like banking, this technology’s level of safety, aided by depth-sensing sensors, has met expectations. People’s confidence in mobile technology has grown due to the emergence of secure runtime environments (programmes and libraries). As a result, many companies are working to implement this technology in other areas, such as automobiles, homes, and surveillance systems.
It’s best to anticipate privacy and security risks before they become widespread because artificial intelligence may present some unique challenges to humanity (to say the least). The benefits of AI cameras may be maximised if they are regulated to keep their artificial brains from becoming too powerful.