{"id":52835,"date":"2019-11-17T00:00:00","date_gmt":"2019-11-16T21:00:00","guid":{"rendered":"https:\/\/prohoster.info\/blog\/blog_prohoster\/preimushhestva-oblachnogo-raspoznavaniya-lits"},"modified":"2020-02-18T14:00:38","modified_gmt":"2020-02-18T11:00:38","slug":"preimushhestva-oblachnogo-raspoznavaniya-lits","status":"publish","type":"post","link":"https:\/\/prohoster.info\/ro\/blog\/administrirovanie\/preimushhestva-oblachnogo-raspoznavaniya-lits","title":{"rendered":"Avantajele recunoa\u0219terii faciale \u00een cloud","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><img decoding=\"async\" alt=\"Avantajele recunoa\u0219terii faciale \u00een cloud\" src=\"\/wp-content\/uploads\/2019\/11\/cca3a82389e2e5a0c33c065afdc35513.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>Viitorul apropiat<\/i><\/p>\n<p>Exist\u0103 mai multe metode prin care func\u021bioneaz\u0103 sistemele de recunoa\u0219tere facial\u0103, dar \u00een general este vorba despre o tehnologie capabil\u0103 s\u0103 identifice o persoan\u0103 pe baza unei imagini digitale sau a unui cadru dintr-o surs\u0103 video.<\/p>\n<p>Mul\u021bi proprietari de smartphone-uri folosesc zilnic recunoa\u0219terea facial\u0103, dar \u00een dispozitivele mobile, viteza de recunoa\u0219tere nu este critic\u0103, iar num\u0103rul utilizatorilor este rareori mai mare de unul-dou\u0103 persoane. Pentru sistemele de birou \u0219i strad\u0103 (\u00een cazul recunoa\u0219terii \u00een mas\u0103) se aplic\u0103 alte tehnologii. <\/p>\n<p>Recent, pe Habr s-a discutat <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/news\/t\/474190\/\">o \u0219tire<\/a><\/noindex>: cafenelele de re\u021bea din Moscova \u201ePravda Cafe\u201d \u0219i OneBucksCoffee au \u00eenceput s\u0103 testeze \u00een localurile lor un serviciu de recunoa\u0219tere facial\u0103. <\/p>\n<p>Cafenelele folosesc solu\u021bia noastr\u0103 tehnic\u0103. \u0218i ast\u0103zi v\u0103 vom povesti mai \u00een detaliu despre aceasta. Desigur, am discutat deja despre tehnologia \u00een sine, dar au ap\u0103rut unele nout\u0103\u021bi - solu\u021bia a devenit cu adev\u0103rat bazat\u0103 pe cloud. Asta schimb\u0103 totul.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Cum func\u021bioneaz\u0103 tehnologia de recunoa\u0219tere facial\u0103<\/h2>\n<p>\nPrimul lucru pe care trebuie s\u0103-l fac\u0103 sistemul este s\u0103 identifice fa\u021ba \u00een cadru \u0219i, prin intermediul algoritmilor, s\u0103 se asigure c\u0103 este vorba despre o fa\u021b\u0103 uman\u0103. <\/p>\n<p>Dup\u0103 detec\u021bia ini\u021bial\u0103, se determin\u0103 diferite tr\u0103s\u0103turi individuale pe baza unor puncte fixe - de exemplu, se ia \u00een considerare distan\u021ba dintre ochi \u0219i alte zeci de parametri. <\/p>\n<p>Apoi, alte algoritmi caut\u0103 \u00een diverse baze de date pre-create \u0219i ofer\u0103 un procent de similaritate cu exemplarul de date c\u0103utat. Dac\u0103 procentul de similaritate este suficient de mare, fa\u021ba este considerat\u0103 recunoscut\u0103.<\/p>\n<p>F\u0103r\u0103 a intra \u00een detalii (fotografia pentru analiz\u0103 trebuie s\u0103 fie normalizat\u0103 \u00eenainte de a fi transmis\u0103 re\u021belei neuronale, care cite\u0219te un anumit descriptor), principala dificultate a solu\u021biei \u00een acest moment nu const\u0103 \u00een tehnologiile \u00een sine (algoritmi), ci \u00een implementare.<\/p>\n<p>Sistemele de recunoa\u0219tere facial\u0103 se dezvolt\u0103 \u00een diverse direc\u021bii, clasificate \u00een func\u021bie de abordarea proces\u0103rii informa\u021biilor. Uneori este greu s\u0103 alegi care sistem se descurc\u0103 mai bine cu o anumit\u0103 sarcin\u0103. <\/p>\n<h2>Diversitatea sistemelor<\/h2>\n<p>\n<img decoding=\"async\" alt=\"Avantajele recunoa\u0219terii faciale \u00een cloud\" src=\"\/wp-content\/uploads\/2019\/11\/ae40cad194655e1f24ee9f9cb014f3a9.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nDatele pot fi procesate \u00een cloud, pe servere locale desf\u0103\u0219urate \u00een perimetrul de securitate al \u00eentreprinderii sau direct pe camere. <\/p>\n<p>\u00cen ultimul caz, \u00eentreaga analiz\u0103 este efectuat\u0103 de camer\u0103, iar informa\u021biile procesate sunt trimise pe server. Principalul avantaj al sistemului este precizia ridicat\u0103 \u0219i posibilitatea de a conecta un num\u0103r mare de dispozitive la un singur server.<\/p>\n<p>De\u0219i tehnologia pare simpl\u0103 \u0219i u\u0219or de scalat, aceasta are \u0219i dezavantaje. Unul dintre ele este pre\u021bul ridicat. \u00cen plus, momentan nu exist\u0103 un standard unic pentru prezentarea informa\u021biilor pe care camerele specializate le transmit serverului. Setul de date poate diferi considerabil \u00eentre diferi\u021bi furnizori.<\/p>\n<p><img decoding=\"async\" alt=\"Avantajele recunoa\u0219terii faciale \u00een cloud\" src=\"\/wp-content\/uploads\/2019\/11\/7e05d83ea7bbb2f8e9a8af5aa89e67e9.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>Sistemul \"simplu\" de recunoa\u0219tere facial\u0103 de la <noindex><a rel=\"nofollow\" href=\"https:\/\/www.businesswire.com\/news\/home\/20180226005603\/en\/Panasonic-Launch-Face-Recognition-Server-Software-Deep\/?feedref=JjAwJuNHiystnCoBq_hl-Q-tiwWZwkcswR1UZtV7eGe24xL9TZOyQUMS3J72mJlQ7fxFuNFTHSunhvli30RlBNXya2izy9YOgHlBiZQk2LOzmn6JePCpHPCiYGaEx4DL1Rq8pNwkf3AarimpDzQGuQ%3D%3D&amp;utm_campaign=crowdfire&amp;utm_content=crowdfire&amp;utm_medium=social&amp;utm_source=pinterest\">Panasonic <\/a><\/noindex><\/i><\/p>\n<p>Sistemele bazate pe camere IP cu func\u021bie de analiz\u0103 video integrat\u0103 sunt mai pu\u021bin populare dec\u00e2t solu\u021biile pe server. Totu\u0219i, chiar \u0219i \u00een cazul utiliz\u0103rii unui sistem tradi\u021bional bazat pe un \u00eenregistrator \u0219i\/sau un server local, nu se pot ob\u021bine economii. <\/p>\n<h2>Programe \u0219i pre\u021buri* Recunoa\u0219tere facial\u0103 <\/h2>\n<p>\n<i>*Conform informa\u021biilor din surse deschise. <br \/>\n<\/i><br \/>\nAv\u00e2nd \u00een vedere complexitatea algoritmilor \u0219i costul ridicat al echipamentelor serverului pentru modulele de analiz\u0103 video, sistemele de recunoa\u0219tere facial\u0103 au r\u0103mas mult timp o pl\u0103cere costisitoare. <\/p>\n<p>Costul solu\u021biei este influen\u021bat \u0219i de traficul de re\u021bea mare generat \u00een timpul func\u021bion\u0103rii \u2013 pe l\u00e2ng\u0103 cheltuielile pentru servere puternice, a fost nevoie s\u0103 se investeasc\u0103 \u00een echipamente de re\u021bea active \u0219i linii de comunica\u021bie \"wide\".<\/p>\n<p>\u00cen prezent, pe pia\u021ba rus\u0103 sunt c\u00e2\u021biva mari juc\u0103tori care ofer\u0103 algoritmi de calitate pentru analiza \u0219i procesarea datelor video. Ace\u0219tia sunt uni\u021bi de interesul \u00een proiectele legate de afaceri mari. Explica\u021bia pentru aceast\u0103 concentrare este simpl\u0103 \u2013 costul solu\u021biei dep\u0103\u0219e\u0219te cu mult posibilit\u0103\u021bile \u00eentreprinderilor mici \u0219i mijlocii. <\/p>\n<ul>\n<li>ISS<\/li>\n<\/ul>\n<p>\nSoftware-ul \u201eSecurOS Face\u201d. <\/p>\n<p>Costul licen\u021bei pentru modulul de captare a fe\u021belor este de 41 275 de ruble pe canal. Software-ul este instalat pe serverul de recunoa\u0219tere a fe\u021belor sau pe serverul de detec\u021bie a acestora. <\/p>\n<p>Costul licen\u021bei pentru modulul de recunoa\u0219tere a fe\u021belor pentru 1000 de persoane \u00een baza de date este de 665 760 de ruble. Este instalat pe serverul de recunoa\u0219tere a fe\u021belor.<\/p>\n<ul>\n<li>Sigur<\/li>\n<\/ul>\n<p>\nDezvoltator rus de echipamente \u0219i software pentru sisteme de control al accesului. <\/p>\n<p>Costul licen\u021bei pentru modulul de verificare a fe\u021belor pentru o camer\u0103 este de 50 000 de ruble. <\/p>\n<p>Costul licen\u021bei pentru modul de identificare a fe\u021bei pentru o camer\u0103 este de 7.000 de ruble. <\/p>\n<p>Pre\u021bul licen\u021bei pentru baza de date cu p\u00e2n\u0103 la 1.000 de fe\u021be este de 294.000 de ruble.<\/p>\n<ul>\n<li>ITV<\/li>\n<\/ul>\n<p>\nSoftware-ul \u201eInteligen\u021b\u0103\u201d pentru recunoa\u0219terea fe\u021belor cu memorie pentru 1.000 de standarde de fe\u021be \u00een baza de date cost\u0103 314.000 de ruble. <\/p>\n<p>Kernelul sistemului cost\u0103 20.300 de ruble. Conectarea canalului video cost\u0103 6.000 de ruble.<\/p>\n<ul>\n<li>Macroscop<\/li>\n<\/ul>\n<p>\nModulul de recunoa\u0219tere a fe\u021belor Macroscop Basic cu dimensiunea bazei de p\u00e2n\u0103 la 1.000 de fe\u021be cost\u0103 240.000 de ruble. <\/p>\n<p>Licen\u021ba pentru func\u021bionarea cu o camer\u0103 IP este de 16.500 de ruble.<\/p>\n<p>Cu pu\u021bin timp \u00een urm\u0103, solu\u021biile de la Macroscop erau utilizate pentru a asigura securitatea doar la obiective foarte importante cu un num\u0103r mare de persoane: stadioane, aeroporturi, fabrici. \u00cens\u0103 acum compania ofer\u0103 produsul s\u0103u \u0219i pentru retail. Pre\u021bul este de 94.000 de ruble pentru module (recorder-ele nu sunt v\u00e2ndute).<\/p>\n<ul>\n<li>TRASSIR<\/li>\n<\/ul>\n<p>\nSoftware-ul cost\u0103 79.000 de ruble + 32.000 de ruble pentru recorder. Clien\u021bii companiei sunt, \u00een principal, firme mari (fabrici, companii de extrac\u021bie, universit\u0103\u021bi, complexe sportive). Dar compania se concentreaz\u0103 pe supravegherea video tradi\u021bional\u0103, nu pe recunoa\u0219terea fe\u021belor. De\u0219i recorder-ele lor video sunt foarte potrivite \u0219i pentru aceste sarcini.<\/p>\n<ul>\n<li>FindFace<\/li>\n<\/ul>\n<p>\nCompania dezvolt\u0103 \u0219i vinde doar software specializat pentru recunoa\u0219terea fe\u021belor. Va trebui s\u0103 alege\u021bi configura\u021bia serverelor pentru stocarea \u0219i procesarea datelor singuri.<\/p>\n<ul>\n<li>Ivideon<\/li>\n<\/ul>\n<p>\nServiciul de supraveghere video \u0219i videoanaliz\u0103 \u00een cloud, care a oferit servicii \u00eentreprinderilor cu un buget restr\u00e2ns. <noindex><a rel=\"nofollow\" href=\"https:\/\/ru.ivideon.com\/face-recognition\/\">Ivideon Faces<\/a><\/noindex> func\u021bioneaz\u0103 practic cu orice camer\u0103, iar costul conect\u0103rii unui singur dispozitiv este de la 3.150 de ruble cu analiza p\u00e2n\u0103 la 100 de fe\u021be unice pe zi \u0219i \u00eenregistrarea de baz\u0103 \u00een arhiva cloud pentru 5 zile. <\/p>\n<h2>Alegerea \u201ehardware-ului\u201d pentru sistemele de recunoa\u0219tere facial\u0103 <\/h2>\n<p>\nDe la o camer\u0103 Full HD pentru procesarea fluxului video care con\u021bine 10 fe\u021be \u00een cadru, este necesar un core procesor cu frecven\u021b\u0103 de 2,8 GHz. Dac\u0103 sunt pu\u021bine fe\u021be \u00een cadru (de la 1 la 3), un singur core procesor va putea gestiona cu u\u0219urin\u021b\u0103 \u0219i procesarea a dou\u0103 fluxuri video.<\/p>\n<p>Din acest exemplu, se vede c\u0103 chiar \u0219i \u00een sistemul simplu trebuie s\u0103 existe un anumit rezerv\u0103 de \u201ehardware\u201d. Dac\u0103 \u00een obiect intr\u0103 simultan nu 10, ci 15 persoane, va fi nevoie deja de un al doilea core cu performan\u021b\u0103 similar\u0103. <\/p>\n<p>Prin urmare, pentru a func\u021biona o sistem\u0103 tradi\u021bional\u0103, av\u00e2nd \u00een vedere sarcinile de v\u00e2rf, este necesar s\u0103 se men\u021bin\u0103 capacit\u0103\u021bi de rezerv\u0103 duble.<\/p>\n<p>Pentru a v\u0103 ajuta s\u0103 \u00een\u021belege\u021bi c\u00e2t cost\u0103 un sistem tradi\u021bional de recunoa\u0219tere facial\u0103, vom lua ca exemplu un punct de v\u00e2nzare \u0219i vom calcula costul sistemului tradi\u021bional fa\u021b\u0103 de cel cloud.<\/p>\n<h2>Calculul costurilor: costul sistemului tradi\u021bional de recunoa\u0219tere facial\u0103<\/h2>\n<p>\n<img decoding=\"async\" alt=\"Avantajele recunoa\u0219terii faciale \u00een cloud\" src=\"\/wp-content\/uploads\/2019\/11\/b5726140f7c784705d0bbf96386e4c6d.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nS\u0103 presupunem c\u0103 implement\u0103m un sistem de recunoa\u0219tere facial\u0103 \u00eentr-o re\u021bea de farmacii, const\u00e2nd din 16 loca\u021bii. \u00cen medie, fiecare farmacie este vizitat\u0103 zilnic de 500 de clien\u021bi.<\/p>\n<p>Pentru a recunoa\u0219te eficient fe\u021bele, la fiecare obiect de observare poate fi instalat\u0103 c\u00e2te o camer\u0103 rotativ\u0103 sau o camer\u0103 cu obiectiv mecanizat.<\/p>\n<p>\u00cen cazul utiliz\u0103rii unui sistem tradi\u021bional, costurile vor fi urm\u0103toarele:<\/p>\n<ol>\n<li>Fiecare farmacie va necesita cel pu\u021bin un \u00eenregistrator video specializat. Pre\u021bul s\u0103u de v\u00e2nzare cu am\u0103nuntul este de aproximativ 40 000 RON.<\/li>\n<li>Pentru fiecare \u00eenregistrator va fi necesar un disc dur special (nu confunda\u021bi cu un HDD obi\u0219nuit pentru PC) de cel pu\u021bin 4 TB, pentru a \u00eenregistra fluxul video la o rezolu\u021bie de 1920x1080 \u00een condi\u021bii de trafic intens. Pre\u021bul mediu de v\u00e2nzare este de 10 000 RON.<\/li>\n<li>Bugetul ar trebui s\u0103 includ\u0103 costul serviciilor de \u00eentre\u021binere a sistemului de supraveghere video (de exemplu, deplasarea unui tehnician pentru remedii, actualiz\u0103ri de software sau \u00eenlocuiri de HDD). Costul acestor servicii este de 12 000 RON\/an (vizit\u0103 o dat\u0103 pe trimestru) pentru fiecare obiect (conform listei de pre\u021buri a uneia dintre companiile de montaj).<\/li>\n<li>Costul minim pentru un software complet func\u021bional de recunoa\u0219tere facial\u0103 este, \u00een medie, 120 000 RON pe camer\u0103 (licen\u021b\u0103 nelimitat\u0103 \u00een timp).<\/li>\n<li>Conform datelor furnizate de Backblaze, aproximativ 50% din toate hard disk-urile necesit\u0103 \u00eenlocuire p\u00e2n\u0103 \u00een anul 6 de utilizare. Astfel, dup\u0103 5 ani de func\u021bionare continu\u0103, vor ceda aproximativ 8 discuri, iar \u00een cazul \u00een care un astfel de sistem nu preconizeaz\u0103 redundan\u021ba, \u00een medie trebuie s\u0103 se aloce cheltuieli suplimentare de 1,6 discuri pe an, adic\u0103 16 000 RON\/an.<\/li>\n<\/ol>\n<p>\n<b>Cheltuielile de capital (f\u0103r\u0103 a lua \u00een considerare costul camerelor) se vor ridica la 2 928 000 RON\/an.<\/b><\/p>\n<h2>Costurile pentru sistemul cloud<\/h2>\n<p>\n\u00cen cazul sistemului cloud, costul tarifului pentru supravegherea video cu recunoa\u0219terea a 500 de fe\u021be\/zi va fi <b>4 750 RON\/lun\u0103 (57 000 RON\/an) pe camer\u0103, sau 912 000 RON\/an pentru 16 camere.<\/b>.<\/p>\n<p>S\u0103 reamintim c\u0103 proprietarul re\u021belei nu va trebui s\u0103 achizi\u021bioneze hardware suplimentar. Cheltuielile de \u00eentre\u021binere tehnic\u0103 de asemenea nu sunt necesare, deoarece toate serverele cloud sunt \u00eentre\u021binute de furnizorul de servicii cloud \u00een centrul de date.<\/p>\n<p>Se observ\u0103 o economisire de peste 3 ori \u00een primul an de utilizare a sistemului.<\/p>\n<h2>Rezumat intermediar \u0219i beneficii suplimentare<\/h2>\n<p>\n\u00cen calculele de mai sus exist\u0103 o nuan\u021b\u0103 important\u0103: dup\u0103 3 ani de utilizare, sistemul tradi\u021bional va deveni mai ieftin \u00een ceea ce prive\u0219te costurile totale comparativ cu recunoa\u0219terea facial\u0103 \u00een cloud. Aici trebuie s\u0103 lu\u0103m \u00een considerare doi factori.<\/p>\n<p><b>\u00cen primul r\u00e2nd<\/b>, echipamentul pe care \u00eel va achizi\u021biona proprietarul re\u021belei se va deprecia \u00een 3 ani de utilizare. \u00cens\u0103, cu siguran\u021b\u0103, vor ap\u0103rea tehnologii \u0219i algoritmi de recunoa\u0219tere facial\u0103 noi \u0219i mai avansa\u021bi, care vor func\u021biona pe hardware mai puternic. \u0218i dup\u0103 3 ani, este foarte posibil s\u0103 fie nevoie de \u00eenlocuirea complet\u0103 a echipamentului de la punctele de lucru.<\/p>\n<p>Cu sistemul cloud, acest lucru nu este necesar \u2013 serviciul se \u00eembun\u0103t\u0103\u021be\u0219te \u0219i se actualizeaz\u0103 constant datorit\u0103 avansului algoritmilor \u0219i cre\u0219terii puterii de calcul a centrelor de date. Suportul pentru standardele de siguran\u021b\u0103 nu este legat de hardware. <\/p>\n<p><b>\u00cen al doilea r\u00e2nd<\/b>, economisirea fondurilor \u00een primii ani va permite reinvestirea acestor bani de mai multe ori, aduc\u00e2nd profit suplimentar afacerii.<\/p>\n<h2>Trecutul, prezentul \u0219i viitorul recunoa\u0219terii faciale \u00een cloud<br \/>\n<\/h2>\n<p>\nEvolu\u021bia sistemelor de recunoa\u0219tere s-a accelerat \u00een ultimii ani. Nu cu mult timp \u00een urm\u0103, \u00een loc de algoritmi complec\u0219i \u0219i re\u021bele neuronale, un angajat obi\u0219nuit din serviciul de securitate compara pur \u0219i simplu fe\u021bele \u00eenregistrate de program cu bazele de date \u0219i marca cine erau ace\u0219ti oameni.<\/p>\n<p>\u00cen plus, sistemele func\u021bionau prin servere locale. A\u0219adar, pentru a utiliza serviciul, utilizatorul trebuia s\u0103 instaleze un PC dedicat sau un anumit recorder video. Acestea erau cheltuieli suplimentare pentru echipamente \u0219i costuri indirecte pentru utilizarea acestora.<\/p>\n<p>Recunoa\u0219terea facial\u0103 \u00een cloud nu necesit\u0103 achizi\u021bionarea \u0219i configurarea altui echipament, \u00een afar\u0103 de camere, \u0219i va func\u021biona cu acele camere care sunt deja instalate pe obiectiv.<\/p>\n<p>Nu este necesar s\u0103 men\u021bine\u021bi o echip\u0103 de speciali\u0219ti pentru a asigura func\u021bionarea echipamentului. Problemele tehnice ale echipamentului sunt rezolvate de furnizorul serviciului (\u0219i o face mai eficient dec\u00e2t companiile nespecializate). <\/p>\n<p>Recunoa\u0219terea \u00een cloud transform\u0103 un sistem greoi \u0219i vulnerabil de servere de analiz\u0103 locale \u00eentr-o structur\u0103 flexibil\u0103 \u0219i rezistent\u0103 \u00een cloud. \u00cen practic\u0103, acest lucru \u00eenseamn\u0103 c\u0103 sistemul de recunoa\u0219tere nu mai depinde de capacit\u0103\u021bile unui server specific, achizi\u021bionat \u0219i instalat \u00een biroul clientului, precum \u0219i de infrastructura IT disponibil\u0103 la acel client. Nu este necesar s\u0103 achizi\u021bionezi echipamente noi \u0219i s\u0103 negociezi \u00eendelung cu furnizorul aspectele legate de configurare \u0219i posibilit\u0103\u021bile de extindere.<\/p>\n<p>Cloud-ul distribuie automat \u00eenc\u0103rc\u0103tura pe \u00eentreaga infrastructur\u0103 disponibil\u0103 cu servere puternice. Clientul nu trebuie s\u0103 p\u0103streze puteri rar utilizate ca rezerv\u0103 pentru a face fa\u021b\u0103 perioadelor de cre\u0219tere nea\u0219teptat\u0103 a sarcinilor (s\u0103rb\u0103tori, weekend-uri). Mai multe detalii despre capabilit\u0103\u021bile sistemului pot fi ob\u021binute, <noindex><a rel=\"nofollow\" href=\"mailto:videoanalytics@ivideon.com\">consult\u00e2ndu-ne<\/a><\/noindex> pe noi. <\/p>\n<p>\u201eAdev\u0103rul despre cafea\u201d \u0219i OneBucksCoffee au generat acum o mare discu\u021bie, dar foarte cur\u00e2nd aproape c\u0103 nu vor mai exista companii din sectorul offline f\u0103r\u0103 analize video. Juc\u0103torii din pia\u021ba de consum au o nevoie acut\u0103 de a-\u0219i recunoa\u0219te clien\u021bii fa\u021b\u0103 \u00een fa\u021b\u0103: s\u0103 personalizeze serviciile \u0219i ofertele, s\u0103 analizeze starea de spirit a oaspe\u021bilor, s\u0103 reduc\u0103 costurile \u0219i s\u0103 rec\u00e2\u0219tige clien\u021bii, nu doar s\u0103 cumpere solu\u021bii tehnologice pentru raportare.<br \/>\n<br \/>Sursa: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/company\/ivideon\/blog\/475888\/\">habr.com<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0411\u043b\u0438\u0437\u043a\u043e\u0435 \u0431\u0443\u0434\u0443\u0449\u0435\u0435 \u0421\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u043c\u0435\u0442\u043e\u0434\u043e\u0432, \u043f\u043e \u043a\u043e\u0442\u043e\u0440\u044b\u043c \u0440\u0430\u0431\u043e\u0442\u0430\u044e\u0442 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\u0434\u0435\u043d\u044c \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442 face recognition, \u043d\u043e \u0432 \u043c\u043e\u0431\u0438\u043b\u044c\u043d\u044b\u0445 \u0443\u0441\u0442\u0440\u043e\u0439\u0441\u0442\u0432\u0430\u0445 \u0441\u043a\u043e\u0440\u043e\u0441\u0442\u044c \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044f \u043d\u0435 \u043a\u0440\u0438\u0442\u0438\u0447\u043d\u0430, \u0430 \u0447\u0438\u0441\u043b\u043e \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u0435\u0439 \u0440\u0435\u0434\u043a\u043e \u0431\u043e\u043b\u044c\u0448\u0435 \u043e\u0434\u043d\u043e\u0433\u043e-\u0434\u0432\u0443\u0445 \u0447\u0435\u043b\u043e\u0432\u0435\u043a. \u0414\u043b\u044f \u043e\u0444\u0438\u0441\u043d\u044b\u0445 \u0438 \u0443\u043b\u0438\u0447\u043d\u044b\u0445 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[688],"tags":[],"class_list":["post-52835","post","type-post","status-publish","format-standard","hentry","category-administrirovanie"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u0411\u043b\u0438\u0437\u043a\u043e\u0435 \u0431\u0443\u0434\u0443\u0449\u0435\u0435 \u0421\u0443\u0449\u0435\u0441\u0442\u0432\u0443\u0435\u0442 \u043d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/prohoster.info\/ro\/blog\/administrirovanie\/preimushhestva-oblachnogo-raspoznavaniya-lits\" \/>\n\t<meta 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