TGTGInsighttelegram intelligenceLIVE / telegram public index
← OnePlus Guide

TGINSIGHT SIMILAR POSTS

Trouver du contenu similaire

Chaîne source @OnePlusGuide · Post #2729 · 17 août

🔻OXYGENOS 11: ALWAYS ON DISPLAY!🔻 #ONEPLUS#OXYGENOS11#ALWAYSONDISPLAY#AOD OnePlus si è creata una fama internazionale per la sua particolare attenzione alla Community e alle sue richieste. Beh, anche questa volta non si smentisce. Dopo mesi e mesi di attesa, finalmente OnePlus ha confermato che implementerà nella nuova OxygenOS 11 una delle funzionalità più richieste dai suoi utenti: l'Always On Display! Per chi non conoscesse questa funzionalità, rende alcuni elementi come Orologio e icone di notifiche sempre visibili sullo schermo quando si blocca il dispositivo, in maniera tale da non dover accendere il telefono per vedere l'orario o le notifiche, a discapito di un po' di batteria. E voi che ne pensate? Userete questa funzionalità? Fatecelo sapere nei nostri gruppi! Pit — Il nostro canale 👉🏻@oneplusguide I nostri gruppi 👉🏻@oneplusitcommunity

Résultats

1 post similaire trouvé

Recherche : #facewatch

当前筛选 #facewatch清除筛选
MessageInABottle

@mib_messageinabottle · Post #6953 · 26/05/2024 12:59

🇬🇧#UK #PreCrime "I WAS MISIDENTIFIED AS SHOPLIFTER BY FACIAL RECOGNITION TECH" Sara needed some chocolate - she had had one of those days - so wandered into a #HomeBargains store. "Within less than a minute, I'm approached by a store worker who comes up to me and says, 'You're a thief, you need to leave the store'." Sara - who wants to remain anonymous - was wrongly accused after being flagged by a facial-recognition system called #Facewatch. She says after her bag was searched she was led out of the shop, and told she was banned from all stores using the technology. Facewatch later wrote to Sara and acknowledged it had made an error. The #MetropolitanPolice in #London say that around one in every 33,000 people who walk by its cameras is misidentified. But the error count is much higher once someone is actually flagged. One in 40 alerts so far this year has been a false positive #AI #FacialRecognition