Umbono Artificial: konke odinga ukukwazi

umbono wokufakelwa

Emhlabeni wokukhiqiza, amakhompyutha asalele emuva. Imboni isiqalile ukusebenzisa amandla amakhulu anikezwa ubuhlakani bokwenziwa. Kodwa-ke, ukuhlangana kwe-AI nokukhiqiza sekuvele kuqala ukuba nomthelela. Lesi sihloko sizohlola ukuthi umbono wekhompyutha uziguqula kanjani izimboni zemboni. Ngokuhlinzeka ngemishini ngezithombe ezicacile zemikhiqizo abasebenza nayo, lobu buchwepheshe buvumela abakhiqizi ukuba banciphise izindleko, bakhulise ukusebenza kahle futhi bathuthukise ukusebenza.

Iphinde ibavumele qapha futhi ulungise izinkinga njengoba ziphakamaesikhundleni sokulinda ukuthi izinto zingahambi kahle futhi kudingeke ukuba u-ode izingxenye ezibizayo noma wenze umsebenzi onzima wokulungisa. Isinyathelo sokuqala sokusifinyelela? Qonda ukuthi imboni yakho injani ngempela ngokombono we-IT. Ake sibheke ukuthi umbono womshini uziguqula kanjani izimboni emhlabeni wonke ngokuhlola izibonelo ezimbalwa ezibalulekile.

Izibonelo zamaphrojekthi omthombo ovulekile ahlobene nombono wekhompyutha i-OpenCV, okuwumtapo wolwazi wekhompyutha ongaphansi kwelayisensi ye-BSD.

Uyini umbono wekhompyutha?

I-CNC yezimboni ezinkulu

Umbono womshini inqubo amakhompyutha abona ngayo umhlaba. Ihluke ekuboneni komuntu ngezindlela ezimbalwa ezibalulekile. Okokuqala, umbono womshini uyidijithali. Ama-algorithms okubona ngekhompyutha angakwazi ukubona umumo nemibala, kodwa awakwazi ukubona lutho. Abantu babona imibala, kodwa futhi sibona izimo. Yilokhu okwenza umbono wekhompyutha ubaluleke kangaka. Umbono wekhompyutha umkhakha ongaphansi wokufunda komshini. Uma uqeqesha i-algorithm yokufunda komshini, empeleni uyayifundisa. Uyaboniswa izibonelo futhi afunde kuzo. Uma umbonisa izibonelo eziningi, uzonemba kakhulu. Yilokho okwenzekayo lapho uqeqesha i-algorithm yombono wekhompyutha. Ngemva kokuyifunza idatha eminingi ebonakalayo, iba nembe kakhulu.

Umbono wokwenziwa usebenza kanjani?

Umbono wokwenziwa uqukethe ukuthola isithombe esicacile somhlaba. Ukuze wenze lokhu, udinga indlela ethile yokuthola ukuthi kwenzakalani endaweni yesigameko. Ziningi izindlela zokwenza. Ungasebenzisa ikhamera, isibonelo, noma ungaba nezinzwa ezithola umhlaba okuzungezile. Kunoma ikuphi, usebenzisa into ebizwa ngokuthi inzwa ukuze uthole idatha ebonakalayo. Okulandelayo, udinga indlela yokuhumusha lokho okutholwa yilezi zinzwa. Ama-algorithms okubona ngekhompyutha enza lokhu ngomqondo obizwa ngokuthi i- feature extraction. Idatha ebonakalayo evela kunzwa iguqulwa ibe amanani ezinombolo angasetshenziswa yi-algorithm.

Izinhlobo zombono wokwenziwa

Ezinye zezinhlobo zombono wekhompuyutha noma ubuchwepheshe obusetshenziswa embonweni wokwenziwa yilezi:

  • ukufunda okujulile: Izinhlelo zokufunda ezijulile, ezaziwa nangokuthi amanethiwekhi e-neural, ayisisekelo sombono womshini. Aklanyelwe ukufunda futhi athuthuke ngolwazi, kuyilapho enwebeka futhi evumelana nezimo ngokwanele ukuzivumelanisa nokuthuthuka okusheshayo kobuchwepheshe obusha. Ngokuvamile aqeqeshelwa amasethi amakhulu edatha futhi angasetshenziselwa imisebenzi ehlukahlukene, ehlanganisa ukubona ikhompuyutha, ukuqashelwa kwento, ukuqonda ulimi, kanye nencazelo. Izinhlelo zokufunda ezijulile, ezaziwa nangokuthi amanethiwekhi e-neural, ziwumgogodla wombono wekhompyutha. Aklanyelwe ukufunda futhi athuthuke ngolwazi, kuyilapho enwebeka futhi evumelana nezimo ngokwanele ukuzivumelanisa nokuthuthuka okusheshayo kobuchwepheshe obusha. Ngokuvamile aqeqeshelwa amasethi amakhulu edatha futhi angasetshenziselwa imisebenzi ehlukahlukene, ehlanganisa ukubona ikhompuyutha, ukuqashelwa kwento, ukuqonda ulimi, kanye nencazelo.
  • ukuqinisa ukufunda: Izinhlelo zokufunda eziqinisayo zisebenzisa i-AI ukuze ziguqule isistimu ngokusekelwe ekuziphatheni komsebenzisi. Isibonelo salokhu i-ejenti ebonakalayo elandela ukunyakaza komsebenzisi futhi isabela ngokusekelwe kumapharamitha njengendawo nesikhathi. Ku-VR, lokhu kungase kusetshenziselwe ukudala ukuzizwisa okusebenzisanayo lapho izinto ezisemhlabeni obonakalayo zisabela ezenzweni zomsebenzisi, isibonelo umnyango ovulekayo lapho umsebenzisi esondela kuwo. Izinhlelo zokufunda eziqinisayo zisebenzisa i-AI ukuze ziguqule isistimu ngokusekelwe ekuziphatheni komsebenzisi. Isibonelo salokhu i-ejenti ebonakalayo elandela ukunyakaza komsebenzisi futhi isabela ngokusekelwe kumapharamitha njengendawo nesikhathi. Ku-VR, lokhu kungase kusetshenziselwe ukudala ukuzizwisa okusebenzisanayo lapho izinto ezisemhlabeni obonakalayo zisabela ezenzweni zomsebenzisi, isibonelo umnyango ovulekayo lapho umsebenzisi esondela kuwo.
  • ukufunda okugadwe kancane: Amasistimu agadwa kancane aqeqesha amamodeli awo esebenzisa kuphela isethi engaphansi yedatha enelebula. Isibonelo, uhlelo lokusebenza olulodwa ukukhomba izinto ngaphandle kokulebula izimo zazo. Iqembu lezemidlalo lisebenzisa i-AI egadwe kancane ukuthola abadlali kuvidiyo ngaphandle kokwazi amagama abo.

Ukubona kwekhompyutha kuziguqula kanjani izimboni ngokuqapha izingxenye

ukugcinwa kokukhiqiza

Enye yezinzuzo zakuqala zokubona ngekhompyutha kwaba ukuhlolwa okuthuthukisiwe. Akukhona nje ukuthi amakhamera alungile ekuboneni amaphutha, kodwa ukubona komshini kuhle ekuwakhombeni. Lokhu kwenza kube ubuchwepheshe obubalulekile bokuthuthukiswa kwekhwalithi, okuvumela abakhiqizi ukuthi babambe izinkinga ngaphambi kokuba ziholele ekusebenzeni kabusha okubizayo. Ukubona ngekhompyutha kusebenza futhi ikakhulukazi ekuzenzeleni ukuhlolwa kwezingxenye ezinkulu neziyinkimbinkimbi. Lokhu kukunikeza umbono wento yonke okulula kakhulu ukuyihlaziya kunokubuka ingxenye encane. Kungenzeka kakhulu ukuthi ubone inkinga ongase ungayiboni ngenye indlela. I-algorithm yombono wekhompyutha ingakusiza futhi ukuxazulula lezi zinkinga. Ungasebenzisa umbono wekhompuyutha ukuze udale imodeli yedijithali yengxenye futhi uyisebenzise ukulandelela iziphambeko njengoba zenzeka futhi ulandelele ukuqhubeka kwazo njengoba zilungiswa.

Ukubona kwekhompyutha kuziguqula kanjani izimboni ngokuqapha imishini

Izinzuzo ezifanayo ezenza umbono wekhompyutha ube mkhulu ekuhloleni izingxenye nazo zikwenza kube ukukhetha okuhle kwemishini yokuqapha. Nakuba ikhamera ingase ibe yincane kakhulu ukuthi ingakwazi ukubona ukusebenza kwangaphakathi komshini, ukubona kwekhompuyutha kalula kungenza imephu yonke ingaphakathi lomshini futhi kumephu izingxenye ezikuwo. Lokhu kukuvumela ukuthi ubone kahle ukuthi kwenzekani futhi ubone izinkinga ezingaba khona. Ukubona ngekhompyutha kulungele ngokukhethekile ukubona izinkinga emishinini. Ikwazi ukubona ukunyakaza okungase kugejwe umuntu. Ungakwazi futhi ukubona izinkinga ngomshini ngokwawo njengoba zenzeka, njengezingxenye ezinephutha. Uma kuziwa ekuqaphelweni kokukhiqizwa, umbono wekhompyutha ungabona izinto umuntu angase aziphuthele. Ingakwazi futhi ukubona okudidayo kudatha umuntu angeke akubone. Lawa maphuzu abizwa ngokudidayo ngoba awahambisani nayo yonke idatha. Lokhu kungakusiza ukuthi ubone izinkinga ezingaba khona ezinhlelweni zakho. Ingakusiza futhi ukuthi ubeke izinkinga kuqala futhi uthole izixazululo zokuthuthukisa ukukhiqiza.

Ukuthi umbono womshini uziguqula kanjani izimboni ngokuqapha abasebenzi

Njengoba nje umbono womshini ulungele ukuhlola izingxenye, ubuye ulungele ukuqapha abasebenzi. Lokhu kwenza kube yindlela ewusizo yokuthuthukisa ukuphepha nokugcina abantu bemi ezinzwaneni zabo. Futhi kuyindlela ewusizo yokunciphisa ukukhathala nezinkinga ezihlobene nokukhathala. Ukubona ngekhompyutha kungasetshenziswa ukulandela izisebenzi ezihamba efekthri. Lokhu kungakusiza wenze imephu yendawo yakho yomsebenzi futhi ubone izinkinga ezifana nezindlela ezivinjiwe noma eziminyene. Ungasebenzisa futhi umbono wekhompyutha ukulandelela imisebenzi yesisebenzi ngasinye. Lokhu kukuvumela ukuthi ulandelele ukusebenza kwakho, ukhombe amaphutha angaba khona ngaphambi kokuthi adale ukusetshenzwa kabusha okumba eqolo. Ungasebenzisa futhi ukubona kwekhompuyutha ukugcina umkhondo wemishini nemishini. Lokhu kukuvumela ukuthi ubone izinkinga zemishini okulula ukuzigeja ngeso lomuntu.

Ukubona kwekhompuyutha kuziguqula kanjani izimboni ngokutholwa kwamaphutha

ia

Ukubona ngekhompyutha futhi kuyithuluzi elihle lokubona amaphutha. Lokhu kwenza umqondo omkhulu, njengoba izinzuzo eziningi ezifanayo ezikwenza kube ithuluzi elihle lokuhlola ingxenye kuphinde kusho ukuthi iyithuluzi elihle lokuthola ukukhubazeka kwengxenye. Ukubona ngekhompyutha kulungele kahle ukubona amaphutha kusenesikhathi. Lokhu kusho ukuthi mancane amathuba okuthi u-ode ukulungiswa okumba eqolo noma ama-workaround. Ukubona kwekhompyutha nakho kulungele ngokukhethekile ukubona ukonakala kwendawo, njengokuklwebheka noma ukonakala kopende. Lokhu kwenza kube ukukhetha okuhle kokulawula ikhwalithi.

Ukuskena kwe-3D

Uma uqala ukusebenzisa umbono wekhompyutha ukuze uqonde ukuthi imboni yakho ibukeka kanjani, kungokwemvelo ukuzibuza ukuthi ushoda ngani. Isinyathelo esilandelayo esisobala ukuqala ukusebenzisa amakhamera ukuze udale amamodeli e-3D wendawo yakho. Le ndlela eqhutshwa idatha yokubona umshini ngokuvamile ibizwa ngokuthi ukufunda okujulile. Futhi, futhi, kwenza umqondo omkhulu. Ama-algorithms okubona komshini ngokuvamile aqeqeshwa enanini elincane lezibonelo. Lolu uhlobo olukha phezulu kakhulu lokufunda komshini. Kudingeka idatha eningi ebonakalayo ukuqeqesha i-algorithm yokufunda ejulile, kodwa uma lokho sekwenziwe, ungabona okuningi kudatha.

umbono wamarobhothi

Nokho, ukuskena kwe-3D kudala inkinga engaba khona. Isebenza kahle ekuhloleni amabala, kodwa uma usudale imodeli ye-3D, ubambekile kuyo. Futhi, uma usuqale ukusebenzisa umbono wekhompuyutha ukuze uthole ingxenye yokulandelela kanye nokuhlonza, cishe uzoqala ukushayisana nezinto. Ngenhlanhla, kukhona nesixazululo sale nkinga. Ungasebenzisa umbono wekhompuyutha ukuze udale umfanekiso obonakalayo wendawo yerobhothi. Lokhu kukuvumela ukuthi usebenzise umbono wekhompyutha ukuze ubone izithiyo ezingaba khona futhi uzigweme.

ukuqapha ividiyo

Uma usuqalile ukusebenzisa umbono wekhompyutha emshinini wakho, uzofuna ukwenza okufanayo ngemishini yakho. Ungakwenza lokhu ngokwakha izethulo ezibonakalayo zeqembu. Le ndlela ivame ukubizwa ngokuthi ukubona ngeso lengqondo. Ungakha okubonwayo ukuze ukusize uqonde ukuthi ikhompuyutha yakho isebenza kanjani, noma ungakha iziboniso ukuze zikusize uqeqeshe ama-algorithms okubona kwekhompyutha yakho. Ungasebenzisa ukubonwayo ukuze udale imodeli enezinhlangothi ezintathu zomshini wakho.

I-AI nezinzwa

Ukubona ngekhompyutha kuyisici esibalulekile ezinhlelweni eziningi zobuhlakani bokwenziwa. Lokhu kufaka phakathi izinto ezifana nokubonwa kwesithombe, ukuhunyushwa kolimi, nokuhlanganisa inkulumo. Ukubona ngekhompyutha nakho kuwukhiye ekuthuthukisweni kwamanethiwekhi e-neural. Lezi ziyingxenye eyinhloko yezinhlelo zokusebenza zokufunda ezijulile. Ukubona ngekhompyutha kungaphezu kokuthola kalula idatha ebonakalayo. Lezi zinhlelo zidinga ukuqeqeshwa ngezibonelo eziningi ukuze zibe usizo. Kudingeka futhi ukuthi zisatshalaliswe kuwo wonke umugqa wokukhiqiza.


Yiba ngowokuqala ukuphawula

Shiya umbono wakho

Ikheli lakho le ngeke ishicilelwe. Ezidingekayo ibhalwe nge *

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  1. Ubhekele imininingwane: Miguel Ángel Gatón
  2. Inhloso yedatha: Lawula Ugaxekile, ukuphathwa kwamazwana.
  3. Ukusemthethweni: Imvume yakho
  4. Ukuxhumana kwemininingwane: Imininingwane ngeke idluliselwe kubantu besithathu ngaphandle kwesibopho esisemthethweni.
  5. Isitoreji sedatha: Idatabase ebanjwe yi-Occentus Networks (EU)
  6. Amalungelo: Nganoma yisiphi isikhathi ungakhawulela, uthole futhi ususe imininingwane yakho.