Ka taƙaita labarin:  Yaƙi ne domin fuskarka. Facebook da Google sun shiga cikin yakin algorithm don fito da cikakkiyar tsarin gano fuska. Yanzu Google ya yi ikirarin sabon nasara, yana cewa sabon tsarin FaceNet ɗin sa kusan cikakke ne - samun mutumin da ya dace 99.96% na lokacin. Sabon tsarin FaceNet na Google kusan cikakke ne - samun mutumin da ya dace 99.96% na lokaci - a nan, yana nuna nau'ikan yanayin hasken da zai iya shawo kansa. Masu bincike a kamfanin Google sun ce tsarin da suka ƙirƙiro shi ne mafi ingancin fasahar da ake da ita don sanin fuskokin mutane. A cikin takarda, mai taken 'FaceNet: A Unified Embedding for Face Recognition and Clustering', Google ya yi iƙirarin cewa tsarin ya sami kusan kashi 100 cikin ɗari na daidaito a kan bayanan bayanan fuskar da aka yiwa lakabi da Faces in the Wild. Kundin bayanan ya yi amfani da hotunan fuska sama da 13,000 daga Intanet don auna yadda algorithms suke daidai wajen tantance ko hotuna biyu na mutum daya ne. 'Hanyarmu tana amfani da cibiyar sadarwa mai zurfi wanda aka horar da shi don inganta shigar da kanta kai tsaye, maimakon matsakaicin matattarar kwalba kamar yadda yake a cikin hanyoyin ilmantarwa mai zurfi na baya,' in ji masu binciken. 'Don horarwa, muna amfani da triplets na kusan daidaita daidaito / ba daidai ba fuska patches generated ta amfani da wani labari online triplets hakar ma'adinai hanya. "Amfanin tsarinmu shine mafi girman ingancin wakilci: mun sami aikin gane fuska na zamani ta amfani da 128-byte kawai a kowace fuska. "A kan bayanan da aka yi amfani da su a cikin daji (LFW), tsarinmu ya sami sabon rikodin rikodin 99.63%. 'A kan YouTube Faces DB ya sami kashi 95.12%. Tsarinmu ya rage yawan kuskuren idan aka kwatanta da mafi kyawun sakamakon da aka buga da kashi 30% akan duka bayanan. An horar da FaceNet a kan tarin hotuna miliyan 260 kuma an yi shi da kashi 86 cikin ɗari da kuma mafi girman daidaito. A shekarar da ta shige, wata ƙungiyar masu bincike na ƙasar Sin sun ce sun yi nasara wajen yin amfani da ƙwayoyin cuta fiye da kashi 99 cikin ɗari. A cikin takarda na Yuni 2014, masu bincike na Facebook sun ce mutane suna nazarin hotuna a cikin bayanan bayanan Labeled Faces ne kawai zasu iya...
DeepFace abokin hamayyar Facebook yana amfani da fasaha daga kamfanin Isra'ila face.com. DeepFace ya sami fuskar da ta dace da daidaito 97.25%. Masu binciken Google sun kira tsarin su da fasaha mafi inganci. Za a iya amfani da tsarin don gane hotuna ta atomatik akan Google+.