An information technology companionship from the United States, Vuzix, has succeeded inwards developing smart spectacles that are able to recognize human faces. The spectacles that were created inwards collaboration amongst a Dubai-based company, NNTC, are equipped amongst complex algorithms that are capable of detecting faces.
The technology is called iFalcon Mobile Face Control past times NNTC is basically an AR sunglasses having an 8-megapixel photographic idiot box camera embedded inwards a frame of spectacles that allows the wearer to scan the faces of people inwards the crowd as well as compare them amongst a database of 1 meg images.
An identity check notification is as well as hence sent to a translucent display inwards the glasses. NNTC stated that its confront recognition algorithm was inwards the come about iii for accuracy inwards the US Government confront recognition vendor test, capable of detecting upwards to xv faces per frame per second, as well as was able to position individuals inwards less than ane second.
So far, NNTC has produced l pairs of spectacles that enable the recognition of one’s face. Most of these spectacles are used for safety operations inwards Abu Dhabi, the working capital missive of the alphabet of the United Arab Emirates.
The facial recognition technology embedded inwards spectacles is non the get-go fourth dimension we’ve seen. Police forces inwards China used similar technology terminal year, using hardware at the develop station to let on suspects inwards the crowd.
The users of iFalcon Face Control Glasses tin hand notice comport the target database station portable because it is direct connected to the glasses. They arrive at non demand an network connectedness inwards gild for the software to function, which leads to liberty inwards mobility.
While notifications sent to the internal cover of the glasses, the wearer tin hand notice freely interact amongst people or perform other tasks. Technology similar this as well as hence allows police pull enforcement agencies to adopt confront recognition algorithms as well as apply them inwards populace spaces amongst fewer possible interruptions.
