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AI-Powered Mobile Camera – Top 5 Features You Will Find

Your Smartphone Just Got Smarter With an AI-Powered Camera, So What All Things Can It Do?

There were some recent trends involving modern smartphone cameras, such as determining which celebrity you look like or seeing how you would look in your old age. All these trends were a product of AI merging with the mobile cameras. AI-powered cameras have various other applications, especially in Security. For example, a company called Athena Security uses AI to detect guns on humans via camera. In mobiles, the use of AI camera is basically to make the work of the user easier, as not everyone is a professional photographer. Devices are already familiar with basic photo composition concepts such as the rule of thirds and field of depth.

Read More: The Current State of AI in Smartphones

Following are the top 5 features of an AI-powered mobile camera:

Subject Detection

AI can identify humans in a frame, based on common facial features. Some of the cameras can even recognize the objects, and select landscape, portrait, etc modes accordingly. The newest bokeh trend is possible because of subject detection, where the camera distinguishes you from the background and blurs everything except you. The distinguishing between fore and background is of LiDAR; cameras of Apple devices and Samsung‘s high-end Galaxy models use this. These cameras have ToF (time of flight) sensors, that emit infrared rays and determine how long it takes for the rays to bounce back. This is called the field of depth in photography terminologies.

Face Recognition

The front camera can be used to unlock the phone using the face recognition feature. The feature basically uses the same tech as face detection but requires more details of face structure, as it concerns the user privacy. Recently, iPhone 12 launched face recognition successfully, although there had been many phones in the market with this feature.

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Augmented Reality Filters

Many top brands such as Lenskart, Nykaa, and Pinterest use the AR filters for the ease of purchasing; customers can virtually try the products out and decide what to buy. The filters create an additional layer over the human face. AI also determines the skin texture and applies the filters accordingly, as opposed to previous feature of smoothing out the skin altogether.

Searching Information

The AI camera is smart enough to understand the content in the frame, which helps in searching information online. The camera can even read the text, process it and translate it for you. The same feature is used to scan QR codes. Like a human eye, the camera can recognize what there is in the shot frame.

Image Signal Processor (ISP)

this feature is a step forward from subject detection and LiDAR. The camera understands the composition of photo, locates the subjects/objects in the shot, and rebuilds the image in a way that looks the best. This might get annoying for some people, as sometimes we want the shot to be as it is. But for an average person, this feature creates better feel of a photo. It studies the most common and appreciated compositions and tries to give the same look to the photo.

Read More: QR Codes Are Here to Stay: 5 Ways This Tech Shines in the Pandemic

There are many applications and softwares which made the work of photography easier with the help of AI. Picai is an app that detects the color and object in the image and selects the best mode for it. Selfissimo takes a photo whenever you change the pose, so that you don’t have to pay attention to the button. Top Shot is a feature launched by Google, where the camera takes a 3-second video and selects the best shot within the span. There is a software called Skylum, which basically eliminated the need of manual masking, i.e. the layers we create on Photoshop for detailed photos.

There is one more feature related to the virtual mobile assistant, i.e. the hands free photo. You can just say “Google (or whoever you prefer), click my photo” and it does so for you.  All this is possible because AI uses computational photography (the machine vision to identify content of the image), instead of the traditional optical zoom.

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