For those who are vision impaired, even the seemingly basic task of grocery shopping can be difficult because it can be difficult to distinguish various things.

In order to help them with this and other endeavors, a group of researchers from the School of Computing at the National University of Singapore (NUS Computing) unveiled AiSee, a reasonably priced wearable assistive device that uses artificial intelligence (AI) based on Chat GPT-4 to help people with visual impairments "see" objects around them. In contrast to the majority of wearable assistive devices that need to be paired with a smartphone, AiSee functions as a stand-alone system that doesn't require any other devices to function.

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A group of scientists at the National University of Singapore have been working on AiSee for the past five years. It appears to be a standard pair of bone-conduction earphones connected by a band that wraps around the back of the wearer's neck. The main goal of the technology is to prevent users from feeling self-conscious, which could happen if they were sporting more recognizable gear, like "smart glasses."

While the other earphone features an external touchpad interface, the forward-facing 13-megapixel camera on one of the earphones records images of the user's surroundings. On the rear of the gadget, which has a wireless internet connection, are a CPU and a lithium battery, reports Ben Coxworth in New Atlas.

Upon picking up an item, say during a grocery buy, the user uses the integrated camera to snap a picture of it. Cloud-based AI algorithms process that image in real time, examining information like the item's size, color, and shape as well as any text found on its labels.

A synthetic voice in the headphones notifies the user of the match if it is for a known object. If they need additional details, they can ask out loud, and maybe the AI will be able to provide.

Crucially, AiSee does not require a connection to a smartphone or any other device, which makes things even easier. Users can still hear their surroundings since the bone-conduction earphones do not completely cover their ears.

Scientists are currently working on improving object identification algorithms, increasing processing speed, and making the technology more ergonomic and inexpensive.