Users will be able to take a photo of the object so that the device can identify it using artificial intelligence
Researchers at the National University of Singapore (NUS) have developed a device that will help visually impaired people identify targets. It’s called AiSeea name composed of the terms “Ai” (AI, artificial intelligence) and “See”, since it will use AI to undertake its task: seeing for its users.
How this device works
As indicated in a statement from the university, AiSee is a device that It is worn on the head, as if they were music headphones.. It is shaped like a ribbon, with a central part that would be located on the user’s neck and two small pivots that hook to their ears.
It works through a camera located on the side, specifically on the right side. The user must take the object they wish to identify with their hand and place it in front of the pivot. After that, he will press a button on the right side of it to activate the camera, which will take a photo of the object.
After taking the photo, artificial intelligence comes into play. The photo is processed on your IA unit, which is basically the brain of AiSee. This will identify the object and will tell the user, through sound, what it is, in addition to briefly describing it. This will be able to ask deviceto inform you in greater detail.
There are already mobile apps capable of identifying objects, including Google Lens, but people who suffer from vision problems can hardly use them through a screen. smartphone. What the device designed at NUS proposes is become a wearable device (wearable), as a smartwatch wrist-mounted, intuitive to use. They only have to press a button to use it.
All this is reinforced with its sound system. The information is transmitted by sound, but not through headphones that are inserted into the ear, but through a sound system that transfers sound through the bones of the head. Therefore, the user will be able to continue hearing the world (other people’s voices, traffic, etc.) while wearing the AiSee.
The device is already being tested, but those responsible for it are in negotiations to expand testing. One of the main people responsible is the university professor Suranga Nanayakkara, who in the video above wears blue. On the other hand, in the video itself, the student Mark Myres He is the one who proves it.
To always be up to date with the latest in technology, subscribe to our official and verified Andro4all channel on WhatsApp.