{"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\/et\/blog\/administrirovanie\/preimushhestva-oblachnogo-raspoznavaniya-lits","title":{"rendered":"Pilve n\u00e4otuvastuse eelised","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p><img decoding=\"async\" alt=\"Pilve n\u00e4otuvastuse eelised\" src=\"\/wp-content\/uploads\/2019\/11\/cca3a82389e2e5a0c33c065afdc35513.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>L\u00e4hedane tulevik<\/i><\/p>\n<p>On mitmeid meetodeid, mille kaudu n\u00e4o tuvastamise s\u00fcsteemid t\u00f6\u00f6tavad, kuid \u00fcldiselt on tegemist tehnoloogiaga, mis suudab inimest tuvastada digitaalse pildi v\u00f5i videoklipi kaadri p\u00f5hjal.<\/p>\n<p>Paljud nutitelefonide omanikud kasutavad iga p\u00e4ev n\u00e4otuvastust, kuid mobiilseadmetes pole tuvastamise kiirus kriitiline ning kasutajate arv harva \u00fcletab \u00fchte v\u00f5i kahte inimest. Kontori- ja t\u00e4navas\u00fcsteemides (masstuvastamisel) rakendatakse teisi tehnoloogiaid. <\/p>\n<p>Hiljuti arutleti Habras <noindex><a rel=\"nofollow\" href=\"https:\/\/habr.com\/ru\/news\/t\/474190\/\">uudis<\/a><\/noindex>: Moskva kohvikud \u00abPravda kohv\u00bb ja OneBucksCoffee alustasid n\u00e4otuvastus teenuse testimist oma ettev\u00f5tetes. <\/p>\n<p>Kohvikud kasutavad meie tehnilist lahendust. Ja t\u00e4na r\u00e4\u00e4gime sellest l\u00e4hemalt. Muidugi oleme juba r\u00e4\u00e4kinud tehnoloogiast, kuid n\u00fc\u00fcd on midagi uut \u2014 lahendus on t\u00f5eliselt pilvep\u00f5hine. Ja see muudab k\u00f5ike.<br \/>\n<noindex><a rel=\"nofollow\" name=\"habracut\"><\/a><\/noindex><\/p>\n<h2>Kuidas n\u00e4otuvastustehnoloogia t\u00f6\u00f6tab<\/h2>\n<p>\nEsimene asi, mida s\u00fcsteem peaks tegema, on kaadris n\u00e4o eristamine ja algoritmide abil veenduda, et see on t\u00f5epoolest inimn\u00e4gu. <\/p>\n<p>P\u00e4rast esialgset tuvastamist m\u00e4\u00e4ratakse erinevad individuaalsed jooned fikseeritud punktide p\u00f5hjal \u2014 n\u00e4iteks arvestatakse silmade vahemaa ja veel k\u00fcmneid teisi parameetreid. <\/p>\n<p>Seej\u00e4rel otsivad teised algoritmid erinevates eelnevalt loodud andmebaasides ja annavad v\u00e4lja sarnasuse protsendi otsitava andmemustri suhtes. Kui sarnasuse protsent on piisavalt k\u00f5rge, loetakse n\u00e4gu tuvastatuks.<\/p>\n<p>Kui mitte s\u00fcveneda detailidesse (foto anal\u00fc\u00fcsiks tuleb enne \u00fcle kanda normaalsetesse vormidesse, enne kui edastada n\u00e4rviv\u00f5rgule, mis loeb teatud descriptorit), seisneb praegu peamine probleem mitte tehnoloogiates (algoritmides), vaid rakendamises.<\/p>\n<p>Tuvastamiss\u00fcsteemid arenevad mitmes suunas, mida klassifitseeritakse teabe t\u00f6\u00f6tlemise l\u00e4henemise j\u00e4rgi. Aeg-ajalt on keeruline valida, milline s\u00fcsteem suudab konkreetse \u00fclesandega k\u00f5ige paremini toime tulla. <\/p>\n<h2>S\u00fcsteemide mitmekesisus<\/h2>\n<p>\n<img decoding=\"async\" alt=\"Pilve n\u00e4otuvastuse eelised\" src=\"\/wp-content\/uploads\/2019\/11\/ae40cad194655e1f24ee9f9cb014f3a9.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nAndmeid saab t\u00f6\u00f6delda pilves, kohalikel serveritel, ettev\u00f5tte turvaringi disainitud serveritel v\u00f5i otse kaameratel. <\/p>\n<p>Viimasel juhul toimub kogu anal\u00fc\u00fcs kaamera enda poolt, ning serverisse saadetakse juba t\u00f6\u00f6deldud teave. S\u00fcsteemi peamine eelis on k\u00f5rge t\u00e4psus ja v\u00f5imalus \u00fchendada \u00fchele serverile palju seadmeid.<\/p>\n<p>Kuigi see tehnoloogia n\u00e4ib lihtne ja kergesti skaleeritav, on tal ka puudusi. \u00dcks nendest on k\u00f5rge hind. Praegu puudub ka \u00fchtne standard andmete esitamiseks, mida spetsialiseeritud kaamerad serverisse edastavad. Andmekogud v\u00f5ivad erinevate tootjate vahel oluliselt erineda.<\/p>\n<p><img decoding=\"async\" alt=\"Pilve n\u00e4otuvastuse eelised\" src=\"\/wp-content\/uploads\/2019\/11\/7e05d83ea7bbb2f8e9a8af5aa89e67e9.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<i>Lihtne n\u00e4otuvastuss\u00fcsteem <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>IP-kaamerate p\u00f5hised s\u00fcsteemid, millel on sisseehitatud videoanal\u00fc\u00fcsi funktsioon, j\u00e4\u00e4vad populaarsuses alla serverip\u00f5histele lahendustele. Kuid ka traditsioonilise registri ja\/v\u00f5i kohaliku serveriga s\u00fcsteemi kasutamisel ei saa kokku hoida. <\/p>\n<h2>Programmid ja hinnad* N\u00e4otuvastus <\/h2>\n<p>\n<i>*Teave avatud allikatest. <br \/>\n<\/i><br \/>\nArvestades algoritmide keerukust ja serveritehnika k\u00f5rget hinda videoanal\u00fc\u00fcsi moodulite jaoks, on n\u00e4otuvastuss\u00fcsteemid pikka aega olnud kallis nauding. <\/p>\n<p>Lisaks lahenduse maksumusele m\u00f5jutab seda protsessi k\u00e4igus genereeritav suur v\u00f5rgu liiklus \u2013 lisaks v\u00f5imsate serverite kuludele tuli investeerida ka aktiivsesse v\u00f5rguteenusesse ja \"paksudesse\" sidekanalitesse.<\/p>\n<p>T\u00e4naseks on Venemaa turul kohal mitmed suured tegijad, kes pakuvad kvaliteetseid videoanal\u00fc\u00fcsi ja t\u00f6\u00f6tlemise algoritme. Nende \u00fchendab huvi suurte ettev\u00f5tetega seotud projektide vastu. Sellise fookuse seletamine on v\u00e4ga lihtne \u2013 lahenduse maks need \u00fcletavad v\u00e4ikeste ja keskmise suurusega ettev\u00f5tete v\u00f5imalusi. <\/p>\n<ul>\n<li>ISS<\/li>\n<\/ul>\n<p>\nTarkvara \u00abSecurOS Face\u00bb. <\/p>\n<p>N\u00e4otuvastuse mooduli litsentsi maksumus on 41 275 rubla kanali kohta. Tarkvara paigaldatakse n\u00e4otuvastuse serverisse v\u00f5i nende tuvastamise serverisse. <\/p>\n<p>N\u00e4otuvastuse mooduli litsents 1000 inimese andmebaasi kohta maksab 665 760 rubla. Paigaldatakse n\u00e4otuvastuse serverisse.<\/p>\n<ul>\n<li>Sigur<\/li>\n<\/ul>\n<p>\nVenemaa seadmete ja tarkvara arendaja juurdep\u00e4\u00e4sukontrolli s\u00fcsteemide jaoks. <\/p>\n<p>N\u00e4otuvastuse kontrollimooduli litsents \u00fche kaamera kohta maksab 50 000 rubla. <\/p>\n<p>\u00dche kaamera n\u00e4otuvastuse mooduli litsents maksab 7 000 rubla. <\/p>\n<p>Kuni 1 000 n\u00e4o andmebaasi litsents maksab 294 000 rubla.<\/p>\n<ul>\n<li>ITV<\/li>\n<\/ul>\n<p>\nIntellekti tarkvara n\u00e4o tuvastamiseks 1 000 n\u00e4idise andmebaasiga maksab 314 000 rubla. <\/p>\n<p>S\u00fcsteemi tuum maksab 20 300 rubla. Videokanali \u00fchendamine maksab 6 000 rubla.<\/p>\n<ul>\n<li>Macroscop<\/li>\n<\/ul>\n<p>\nMacroscop Basic n\u00e4otuvastuse moodul kuni 1 000 n\u00e4oga maksab 240 000 rubla. <\/p>\n<p>Litsents \u00fche IP-kaamera kasutamiseks maksab 16 500 rubla.<\/p>\n<p>Veel hiljuti kasutati Macroscop'i lahendusi peamiselt oluliste objektide, n\u00e4iteks staadionite, lennujaamade ja tehaste turvamiseks. Kuid n\u00fc\u00fcd pakub ettev\u00f5te oma toodet ka jaem\u00fc\u00fcgis. Hind on 94 000 rubla mooduli eest (registreerijaid ei m\u00fc\u00fcda).<\/p>\n<ul>\n<li>TRASSIR<\/li>\n<\/ul>\n<p>\nTarkvara maksab 79 000 rubla + 32 000 rubla registreerija eest. Klientide hulka kuuluvad peamiselt suured ettev\u00f5tted (tehased, kaevandamisettev\u00f5tted, \u00fclikoolid, spordikompleksid). Kuid ettev\u00f5te keskendub traditsioonilisele videovalvele, mitte n\u00e4otuvastusele. Kuigi nende videoregistraatorid sobivad ka nende \u00fclesannete t\u00e4itmiseks.<\/p>\n<ul>\n<li>FindFace<\/li>\n<\/ul>\n<p>\nEttev\u00f5te arendab ja m\u00fc\u00fcb ainult spetsialiseeritud tarkvara n\u00e4otuvastuse jaoks. Serverite konfiguratsiooni andmete salvestamiseks ja t\u00f6\u00f6tlemiseks peate valima ise.<\/p>\n<ul>\n<li>Ivideon<\/li>\n<\/ul>\n<p>\nPilveteenus video j\u00e4lgimiseks ja videoanal\u00fc\u00fcsiks, mis pakub teenuseid madala eelarvega \u00e4ridele. Teenus <noindex><a rel=\"nofollow\" href=\"https:\/\/ru.ivideon.com\/face-recognition\/\">Ivideon Faces<\/a><\/noindex> t\u00f6\u00f6tleb praktiliselt k\u00f5iki kaameraid, \u00fchendi hind \u00fche seadme jaoks algab 3 150 rubla ja anal\u00fc\u00fcsib kuni 100 ainulaadset n\u00e4gu p\u00e4evas, samuti pakub see baas salvestust pilvearhiivi 5 p\u00e4eva jooksul. <\/p>\n<h2>Riistvara valimine n\u00e4otuvastus s\u00fcsteemide jaoks <\/h2>\n<p>\n\u00dche Full HD kaamera jaoks, mis t\u00f6\u00f6tleb videovoogu 10 n\u00e4o sisaldusega kaadris, on vajalik \u00fcks protsessorituum sagedusega 2,8 GHz. Kui kaadris on v\u00e4he n\u00e4gusid (1 kuni 3), siis suudab \u00fcks protsessorituum kergesti hallata kaht videovoogu.<\/p>\n<p>Sellest n\u00e4itest on n\u00e4ha, et isegi lihtsas s\u00fcsteemis peab olema teatud varu 'riistvaras'. Sest kui objektile siseneb korraga mitte 10, vaid 15 inimest, on juba vajalik teine tuum sarnase j\u00f5udlusega. <\/p>\n<p>Seet\u00f5ttu n\u00f5uab traditsioonilise s\u00fcsteemi t\u00f6\u00f6, arvesse v\u00f5ttes tipptunde, kahepoolseid varuressursse.<\/p>\n<p>Kuna traditsioonilise n\u00e4otuvastuse s\u00fcsteemi maksumust on lihtsam m\u00f5ista, toome n\u00e4iteks jaem\u00fc\u00fcgi koha ning arvutame traditsioonilise ja pilves\u00fcsteemi n\u00e4otuvastuse kulud.<\/p>\n<h2>Kuluarvutused: traditsioonilise n\u00e4otuvastuse s\u00fcsteemi maksumus<\/h2>\n<p>\n<img decoding=\"async\" alt=\"Pilve n\u00e4otuvastuse eelised\" src=\"\/wp-content\/uploads\/2019\/11\/b5726140f7c784705d0bbf96386e4c6d.jpg\" style=\"display:block;margin: 0 auto;\" \/><br \/>\n<br \/>\nOletame, et paigaldame n\u00e4otuvastuse s\u00fcsteemi apteekide kett, mis koosneb 16 punktist. Keskmiselt k\u00fclastab igap\u00e4evaselt iga apteeki 500 klienti.<\/p>\n<p>N\u00e4otuvastus on t\u00f5hus, kui igas j\u00e4lgimispunktis on v\u00e4hemalt \u00fcks p\u00f6\u00f6ratav kaamera v\u00f5i mehhaniseeritud objektiiviga kaamera.<\/p>\n<p>Traditsioonilise s\u00fcsteemi korral on kulud j\u00e4rgmised:<\/p>\n<ol>\n<li>Iga apteegi jaoks on vajalik v\u00e4hemalt \u00fcks spetsialiseeritud videoregistraator. Selle jaehind on umbes 40 000 rubla.<\/li>\n<li>Iga registreerija jaoks on vajalik spetsiaalne k\u00f5vaketas (\u00e4ra sega tavalise arvuti HDD-ga), mille maht on v\u00e4hemalt 4 TB, et salvestada videot v\u00e4ikese 1920x1080 resolutsiooniga k\u00f5rge liikluse intensiivsuse korral. Keskmine jaehind on 10 000 rubla.<\/li>\n<li>Eelarvesse tuleks lisada ka videovalve s\u00fcsteemi hooldust\u00f6\u00f6d (n\u00e4iteks paigaldaja v\u00e4ljas\u00f5it vigade parandamiseks, tarkvara uuendamiseks v\u00f5i HDD vahetamiseks). Selliste t\u00f6\u00f6de maksumus on 12 000 rubla\/aastas (v\u00e4ljas\u00f5it kord kvartalis) iga objekti jaoks (vastavalt \u00fche paigaldusettev\u00f5tte hinnakirjale).<\/li>\n<li>Funktsionaalne tarkvara n\u00e4otuvastuseks maksab keskmiselt 120 000 rubla kaamera kohta (piiramatu t\u00e4htajaga litsents).<\/li>\n<li>Ettev\u00f5tte Backblaze andmetel vajab umbes 50% k\u00f5vakettad kuue aasta jooksul v\u00e4ljavahetamist. Seega, viis aastat j\u00e4rjepidevat kasutamist toob v\u00e4lja umbes 8 ketast, ja kui sellises s\u00fcsteemis ei ole varukoopiat, tuleks keskmiselt arvestada t\u00e4iendavate kuludega 1,6 ketast aastas, ehk 16 000 rubla\/aasta.<\/li>\n<\/ol>\n<p>\n<b>Kapitaalikulud (ilma kaamerate maksumuseta) on 2 928 000 rubla\/aastas.<\/b><\/p>\n<h2>Pilves\u00fcsteemi kulud<\/h2>\n<p>\nPilves\u00fcsteemi puhul maksab n\u00e4otuvastamise videovalve hind 500 n\u00e4o\/p\u00e4ev tariifi osas <b>4 750 rubla\/kuus (57 000 rubla\/aastas) kaamera kohta, v\u00f5i 912 000 rubla\/aastas 16 kaamera eest<\/b>.<\/p>\n<p>Tuletame meelde, et mingit t\u00e4iendavat \u00abrauda\u00bb v\u00f5rgu omanik ostma ei pea. Tehnilise hoolduse kulud samuti puuduvad, kuna k\u00f5ik pilveserverid hooldab pilveteenuse pakkuja andmekeskuses.<\/p>\n<p>Esimese aasta jooksul on kokkuhoid rohkem kui 3 korda.<\/p>\n<h2>Vahekokkuv\u00f5te ja t\u00e4iendavad \u00abboonused\u00bb<\/h2>\n<p>\nEelnevates arvutustes on oluline n\u00fcanss: kolme aasta p\u00e4rast muutub traditsiooniline s\u00fcsteem kogukulude poolest odavamaks kui pilve n\u00e4otuvastamine. Siin tuleks arvesse v\u00f5tta kahte tegurit.<\/p>\n<p><b>Esiteks<\/b>, seade, mille omandab v\u00f5rgu omanik, muutub kolme aasta jooksul vananenuks. K\u00fcll aga tulevad kindlasti uued, t\u00e4iustatud tehnoloogiad ja n\u00e4o tuvastamise algoritmid, mis t\u00f6\u00f6tavad v\u00f5imsamal riistvaral. Ja kolme aasta p\u00e4rast on t\u00f5en\u00e4oliselt vajalik varustus punktides t\u00e4ielikult v\u00e4lja vahetada.<\/p>\n<p>Pilves\u00fcsteemi puhul seda tegema ei pea \u2013 teenus t\u00e4iustub ja uuendatakse pidevalt algoritmide arengu ja andmekeskuste arvutusv\u00f5imekuse kasvu t\u00f5ttu. Turvastandardite toetamine ei s\u00f5ltu samuti riistvarast. <\/p>\n<p><b>Teiseks<\/b>, rahas\u00e4\u00e4st esimesel aastal v\u00f5imaldab neid raha mitu korda tagasi teenida, tuues ettev\u00f5ttele t\u00e4iendavat tulu.<\/p>\n<h2>Minevik, olevik ja tulevik pilvep\u00f5hises n\u00e4o tuvastamises<br \/>\n<\/h2>\n<p>\nN\u00e4otuvastuss\u00fcsteemide areng viimastel aastatel on kiirenetud. Veel hiljuti kasutas tavaline turvat\u00f6\u00f6taja keerukate algoritmide ja n\u00e4rviv\u00f5rkude asemel arvutit, et v\u00f5rrelda programmi salvestatud n\u00e4gusid andmebaasidega ja m\u00e4rkis, kes k\u00f5ik need inimesed on.<\/p>\n<p>Lisaks t\u00f6\u00f6tasid s\u00fcsteemid kohalike serverite kaudu. Seet\u00f5ttu pidi teenuse kasutamiseks kasutaja alustama spetsiaalse arvuti v\u00f5i videoregistraatori paigaldamisega. See t\u00e4hendab t\u00e4iendavaid kulutusi seadmete soetamiseks ja nende hooldamiseks.<\/p>\n<p>Pilvep\u00f5hine n\u00e4otuvastus ei n\u00f5ua teiste seadmete ostmist ja seadistamist, v\u00e4lja arvatud kaamerad, ning t\u00f6\u00f6tab juba objektil paigaldatud kaameratega.<\/p>\n<p>Ei ole vaja hoida spetsialiste seadmete t\u00f6\u00f6 tagamiseks. Tehniliste probleemide lahendab teenuse pakkuja ise (ja teeb seda efektiivsemalt kui mittespetsialiseeritud ettev\u00f5tted). <\/p>\n<p>Pilve tuvastamine muundab mahuka ja haavatava s\u00fcsteemi kohalikest anal\u00fc\u00fcsiserveritest paindlikuks ja vikasailmaks pilvestruktuuriks. Praktikas t\u00e4hendab see, et tuvastamiss\u00fcsteem ei s\u00f5ltu enam konkreetse serveri v\u00f5imetest, mis on ostetud ja paigaldatud kliendi kontorisse, samuti selle kliendi IT-infrastruktuurist. Uue seadme ostmine ja konfiguratsiooni ning laiendamisv\u00f5imaluste kokkuleppimine tarnijaga pole enam vajalik.<\/p>\n<p>Pilv jaotab automaatselt koormuse kogu saadaval olevas infrastruktuuris, kasutades v\u00f5imsaid servereid. Kliendil ei ole vaja hoida harva kasutatavaid ressursse varuks ootamatute koormuse t\u00f5usude (p\u00fchade, n\u00e4dalavahetuste) jaoks. S\u00fcsteemi v\u00f5imalustega saab l\u00e4hemalt tutvuda, <noindex><a rel=\"nofollow\" href=\"mailto:videoanalytics@ivideon.com\">konsulteerides<\/a><\/noindex> meiega. <\/p>\n<p>Praeguseks on \u00abTruth Coffee\u00bb ja OneBucksCoffee tekitanud palju arutelusid, kuid peagi j\u00e4\u00e4b praktiliselt \u00fckski f\u00fc\u00fcsilise \u00e4ri ettev\u00f5te, millel ei ole videotehnoloogiat. Tarbijaturu m\u00e4ngijatel on terav vajadus oma klienti isiklikult tundma \u00f5ppida: kohandada teenuseid ja pakkumisi, anal\u00fc\u00fcsida k\u00fclastaja meeleolu, v\u00e4hendada kulusid ja tuua kliente tagasi, mitte lihtsalt osta tehnoloogilisi lahendusi raportite koostamiseks.<br \/>\n<br \/>Allikas: <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 \u0441\u0438\u0441\u0442\u0435\u043c\u044b 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Paljud nutitelefonide omanikud kasutavad igap\u00e4evaselt n\u00e4otuvastust, kuid mobiilseadmetes ei ole tuvastamise kiirus kriitiline ning kasutajate arv harva \u00fcletab \u00fchte v\u00f5i kahte inimest. 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