Iwe unoziva zvakanaka uye mikana ye biometric?

Zvakanakira Biometric tekinoroji
1. Kuvandudza Kushanda Kwemagariro

Biometric Kuzivisa tekinoroji kunogona kunyatsoziva vanhu vanhu nekuvimba nemusiyano wehunhu, kuponesa vanhu nguva uye simba rekugadzira uye kurekodha manhamba ezviyo. Panguva imwecheteyo, kuzivikanwa kweminwe, kuzivikanwa kwezwi, etcc. kufambisa hupenyu hwevanhu.

2. Kuwedzera inishuwarenzi uye kuvimbika
Mazano echinyakare ane njodzi dzekurasikirwa, kuba, uye kusarudzika uye kusarudzika kweBiometric chiratidzo kuita kuti zvisave zvisina kufanira kuba uye kupwanya password Semuenzaniso, nzira yeminwe yemubatanidzwa yemuviri wemunhu yakasarudzika, uye rakati ravanhu uye chimiro cheIris hachisi kushandurwa uye kuteedzerwa, uye kuvimbika kweinishuwarenzi uye kuchengetedzwa kwakakwira.
3. Regedza kusangana
Kuzivikanwa kwakatarisana, kuzivikanwa kweminwe, kuzivikanwa kwenzwi uye dzimwe nzira dzinodzivisa kuongororwa kwechinyakare, kunobatsira kuchengetedza ruzhinji uye hutsanana uye kuderedza njodzi yekutengeserana kwechirwere.
4. Kubatanidza zvisiri pamutemo uye nematsotsi zviitiko
Kuburikidza nekuunganidzwa kweruzivo rwezveruzivo uye kuiswa kwedhipatimendi, Dhipatimendi rezvekuchengetedza revanhu rinogona kunyatsoziva zvinonyanya kutambudzika maererano neruzivo rwekubereka, izvo zvakaburitsa kubatsirwa kukuru kwekuba, chibharo, kuponda uye zvimwe zviitiko.
Izvo Zvakaipa zveBiometric tekinoroji
1. Kuremara muBiometric Algorithms kunotungamira kune yakakwira misrecognition
Kufunga nezve misiyano iri mumuviri chaiwo wemunhu mumwe nemumwe, nzira dzakasiyana-siyana dzeBiometric yekuzivikanwa ine matambudziko ekuunganidza uye kuzivikanwa mukuita. Semuenzaniso, zvimwe zvigunwe zvevanhu zvakakanganisika, uye zvakaoma kuiita kuzivikanwa kweminwe; Zvinhu zvakadai sekutarisana nekuvhiyiwa kwekushomeka, kukuvara, uye kusarudzika kusarongeka kune zvakatipoteredza zvinotungamira mukutadza kwekuziva chiso; Zvakaoma kuti varwere vatonge kuti vaite iris kuzivikanwa. Mukuwedzera, ruzivo rwakadzama rweBiometric rwakaoma kuona uye kutsvaga, senge tekinoroji inosangana-nekuchinja kwehunyanzvi.
2. Zvakaoma kuongorora tekinoroji
Tsamba dzeBiometric dzinotsemesa ruzivo rwemagetsi tekinoroji, hombe data compomputer, gore rekuchengetedza uye mamwe matekinoroji sekutsigira, uye anoshanda kuburikidza nekushandira pamwe kwemaseti akawanda e software uye masisitimu eSoftware. Pakati pavo, kutenga, kushanda uye mari yekugadzirisa yemidziyo yakakwira, iyo yakaunza zvimwe zvipingamupinyi kune huwandu hwe biometric tekinoroji. Technologies dzakadai sekuzivikanwa kweIris uye vein kuzivikanwa kunoda kuzivikanwa kwakawanda, uye nguva yekuziva ndeyekuziva kwenguva yakareba uye kushandiswa kwesimba kwakakwirira.
3. Nyaya dzeinishuwarenzi dzezveruzivo ruzivo
Tsika yeakaundi mapassword, macodes makodhi, etc. Kamwe denderedzwa, matsotsi anogona kurongedza nhema dzekunyepa, kutyisidzira kune data yevanhu, inishuwarenzi yezvinhu. Kechipiri, mimwe ruzivo rwebharishi inowanikwa nyore nyore kubva kune dzimwe nzira uye inoshandiswa nevamwe, dzakadai sekushandisa data sensor pasina kudzivirirwa kana kushandisa dzimwe nzira dzekurwiswa kwazvino. Zvishandiso zvakasiyana zvine huwandu hwakasiyana hwekupindura kune yakaoma uye inochinja kurwiswa. Semuenzaniso, mukuzivikanwa kwechiso, matsotsi anoshandisa 2d kurwiswa uye 3D kududzirwa kurwisa kusunungura zvikumbiro. Midziyo yakasiyana yeAI ine mutsauko wakakura mualgorithm kugona nekuda kwemisiyano muAlgorithm kugona. Inishuwarenzi Hazard.
Uye zvakare, kushandisa zvisizvo kwe biometric kunogona kukanganisa inishuwarenzi yeNational Inishuwarenzi. Nekuuya kweiyo nguva yedata hombe, hurumende uye mamwe masangano ezvematongerwo enyika akakosha ekuunganidza ruzivo rwevanhu Naizvozvo, iyo yakakosha preerequisite uye nheyo yakakura yekushandisa tekinoroji yekuita basa rakanaka mukudzivirira kweiyo digital ruzivo uye kubvisa njodzi dzakavanzika dzeinishuwarenzi yeruzivo senge data.