Fasali na samun damar samun kimanta lokacin zama na halartar

1) Ayyukan tsarin zamani.

Tsarin Ikon Samun damar Samun Ganawar Timeƙwalwa na Samun Tallafin Tarihin Samun Jikin "Server + Tsarin aiki" Tsarin Modelular, wanda ya dace da bangarorin da suke da hankali sosai bisa ga ikon iko. Misali, uwar garken bayanai ana amfani da ita musamman don musayar bayanai da ajiya; Ana amfani da aikin kulawa don kula da tsarin Samun damar Samun Takaddar Ikon Samun Tallafin Tallace-Kantance. Ana amfani da aikin aikace-aikacen don gudanar da fasinjoji da ma'aikata;

2) aikin amfani da layi mai ƙarfi
Pixel Formance Fuskar Kayayyakin Gudanar da Ikon Iya yana da tsarin aiwatar da hanya mai ƙarfi. A lokacin da tsarin kayan aiki da tsarin sarrafawa ba zai iya amfani da kullun ba, ana iya amfani da tsarin sarrafa mai sarrafawa ba tare da shafar shigarwar fasinjoji ba. Ikon ajiya na mai kula da kayan aikin na iya kaiwa ga hotuna zuwa hotuna 100,000 da bayanan tarihi 100,000, wanda bazai haifar da asarar bayanai ba saboda gazawar sadarwa ta ɗan gajeren lokaci.
3) Babban aiki mai ƙarfi
Tsarin aikin samun dama na samun damar samun kimar lokacin da aka samu yana da aikin haɗin kai mai ƙarfi, wanda zai iya haifar da daidaituwa tare da halartar yanayin da ake halarta na fuska, watsa shirye-shiryen murya. Lokacin da tsarin ya haifar da ƙararrawa, zai sauke hotunan hotunan ta atomatik da kuma watsa shirye-shirye don gyaran murya. Misali, lokacin da aka yi amfani da katin haram don shigar da tashar, fuskar da ke tattare da hanyar samun damar ɗaukar hoto ta atomatik, kuma a lokaci guda yana haɗe sauti da ƙararrawa mai haske.
4) Matsalar ilmantarwa mai zurfi game da wani halartar lokaci dangane da manyan bayanai, wanda ke inganta ƙarfin hali da kuma sanin daidaito da sanin daidaito da sanin daidaito da sanin daidaito da sanin daidaito.
Algorithm na Gano Algorithm ya dauki nauyin yanayin koyon zurfi dangane da cibiyar sadarwar neural. Ta amfani da adadi mai yawa na sarrafa aiki mai sauƙi don ƙirƙirar ingantaccen samun damar sanin fuskar fuska da ƙa'idar sanin mutum da kuma halartar wannan da wahala cimma ko aiwatar da koyo. Through the use of shape features, grayscale features, skin texture features and other traditional features and fusion, using spatial analysis and scheduling learning technology to achieve high performance, high precision, high robustness, reliable face comparison algorithm;
Dangane da aikace-aikacen aikace-aikace a cikin tsaro, tsaro na jama'a, ilimi, kudi da sauran masana'antu na fuskantar manyan bayanai daban-daban, da sauransu, jinsi, ta amfani da babban bayani, ta amfani da illoli mai zurfi , ana koyon atomatik don samun fasalolin fushin mutum. Bayan an horar da shi tare da adadi mai yawa na fuskoki mai kyau da rashin gaskiya, da ɗabi'a mai zurfi kuma ya cika ainihin aikace-aikacen.
5) Bayar da kayan aikin fuska mai ƙarfi
A kan aiwatar da gina jerin bayanan bayanan bi, ingancin hotunan ba shi da daidaituwa ba, kuma za'a iya sarrafa hotunan ta atomatik ko kuma don aiwatar da ka'idodin da suka dace da buƙatu. Ayyukan sarrafa hoto sune kamar haka:
Yana goyan bayan kayan wucin gadi na fuskar hoto ta hanyar toshe-ins ko wasu hanyoyin.
Tallafa kiran sarrafa hoto na ɓangare na uku kuma kayan aikin bincike.
Kayan aikin sarrafa hoto sun haɗa da: sarrafa launi, daidaitawa, daidaitawa, daidaitawa, tsaftataccen hoto, kayan ado na asali, da kayan adon launi, yana da yawa, mai amfani da madaidaiciya, atomatik. Matsakaicin matakin atomatik, daidaitaccen matakin matakin kai tsaye, kaifi na atomatik matsakaici, da sauransu.