Binciken Hoto: Menene Shi Kuma Yadda Ake Amfani da shi

da kim An sabunta: Yuni 29, 2022

Binciken hoto kayan aiki ne mai ƙarfi don fitar da bayanai daga hotuna.

Ana iya amfani da wannan don dalilai daban-daban, daga bin diddigin canje-canje a cikin yanayi don gane fuska zuwa nazarin hotunan likita.

A cikin wannan labarin, za mu ba ku taƙaitaccen gabatarwa ga nazarin hoto da yadda za ku iya amfani da shi. Za mu rufe ma'anar nazarin hoto, dabaru da kayan aikin da ake da su, da yuwuwar aikace-aikacen nazarin hoto.

Ma'anar nazarin hoto

Binciken hoto kayan aiki ne da ake amfani da shi don samun haske digital hotuna. Ana amfani da shi a fannoni daban-daban kamar su likitanci, binciken kimiyya, sa ido, sarrafa hotuna, da dai sauransu.

Ainihin, tsari ne na tattara bayanai daga hoto da kuma nazarin bayanan don samun bayanai game da abubuwan da ke cikin hoton. Binciken hoto yana taimakawa samar da bayanai game da inganci ko fasalulluka na hoto kamar girmansa, siffarsa, ƙarfinsa/hasken sa, launi abun da ke ciki ko tsarin benensa.

Akwai dabaru da yawa da aka yi amfani da su a cikin nazarin hoto kamar dabarun canza wuri kamar hakar ƙananan hoto da sarrafa toshe; fasalin fasahohin cirewa waɗanda ke nemo maki ko yankuna masu ban sha'awa ta amfani da na'urori masu gano gefen ko algorithms na gano iyaka; dabarun rarrabuwa da ke rarraba abubuwa zuwa rukuni; Dabarun rarrabuwa waɗanda ke rarraba abubuwa daga bango; da algorithms gane ƙididdiga waɗanda ke gane abubuwa ta amfani da hanyoyin ƙididdiga.

Ta amfani da kayan aikin binciken hoto don aikace-aikace kamar gano abu da tantance fuska, zai iya haɓaka ƙwarewar mai amfani yayin amfani da kafofin watsa labarai na dijital. Hakanan yana yiwuwa a yi amfani da bincike don binciken kimiyya don tantance alaƙa tsakanin ƙayyadaddun iyakoki a cikin guda ɗaya ko rukuni na hotuna. A ƙarshe, wannan fasaha kuma ana amfani da ita sosai ta ƙwararrun likitoci a cikin ƙwararrun ƙwararru waɗanda suka haɗa da ilimin rediyo da ilimin cututtuka don tantance yanayi daban-daban dangane da hotunan da aka ɗauka daga marasa lafiya.

Nau'in nazarin hoto

Binciken hoto shine fitar da bayanai masu ma'ana daga hotuna na dijital. Kalma ce mai fa'ida wacce ta ƙunshi nau'ikan ayyuka daban-daban masu alaƙa da hoto, gami da tantance abu da tantancewa, auna siffa, gano ƙirar ƙira, nazarin yanayi da rarrabuwa.

Akwai nau'ikan dabarun nazarin hoto da yawa; wasu daga cikin mafi yawan sun haɗa da:
-pixel-based/Spatial Analysis - Wannan nau'in bincike ya ƙunshi ƙidaya pixels ko gungu na pixels da hannu don auna wurare (girma, siffa) da yawa (rarraba).
-Binciken ƙididdiga - Wannan hanya tana amfani da hanyoyin ƙididdiga don tantance abubuwan da ke da alaƙa da yankuna a cikin hoto kamar bambanci ko haske.
-Koyon Injin/Masu Hankali na wucin gadi - Algorithms na fasaha na wucin gadi (AI) suna ba da damar ayyuka masu sarrafa hoto mai sarrafa kansa kamar gano abu ko rarrabuwa ta hanyar amfani da hanyoyin sadarwa na jijiyoyi (CNNs).
-Texture Analysis - Wannan dabara tana auna yadda abubuwan da ke cikin hoto ke rarraba dangane da juna dangane da rubutu-bambancin matakan launin toka ko launuka akan babban yanki.
-Binciken Histogram - Binciken Histogram yawanci ya ƙunshi auna rarraba ƙididdiga a cikin hoto kamar bambanci, haske, launi da jikewa.
-Hanyoyin Tace - Dabarun tacewa sun haɗa da ayyukan lissafi akan gabaɗayan tsarin ƙarfin da aka sarrafa wanda ke canza wasu sassa na tsararru yayin adana wasu. Ana amfani da tacewa sau da yawa don haɓaka gefuna ko cire hayaniya daga hoto ta hanyar sassauƙa akan waɗannan wuraren da ba'a so.
-Hanyoyin Canji na Fourier - Wannan hanyar tana amfani da sauyi na Fourier wanda ke lalata hotuna zuwa sassa da yawa dangane da mitar da/ko daidaitawar da ke cikin firam ɗin shigarwa. Wannan yana ba da damar keɓance sassa da abubuwa waɗanda ƙila suna da halaye na musamman dangane da sauran abubuwan gabaɗayan bayyanar a cikin firam - kamar rubutu ko bambance-bambancen siffa - yana ba da damar gano abu cikin sauƙi yayin tafiyar matakai.

Amfanin Binciken Hoto

Binciken hoto kayan aiki ne mai kima don samun fahimta daga hotunan dijital. Ana amfani da shi don gane alamu, gano abubuwa, da fitar da bayanai masu ma'ana daga kafofin watsa labarai. Daga binciken likita zuwa ganewar fuska, nazarin hoto zai iya amfana da nau'o'in masana'antu. Anan za mu bincika fa'idodin nazarin hoto da yadda za a iya amfani da shi don haɓaka fagage daban-daban.

Inganta kwarewar abokin ciniki

Binciken hoto zai iya taimakawa wajen inganta kwarewar abokin ciniki, ba da damar kamfanoni su fahimci abubuwan da abokan ciniki suke so da sauri da kuma daidai. Ta hanyar aiwatar da dabarun nazarin hoto, 'yan kasuwa na iya amfani da bayanai daga hotuna kamar kididdigar alƙaluma, wurare, da martanin motsin rai don kyautata tallan su ko keɓance abun ciki ga abokan ciniki. Yin amfani da wannan bayanan na iya haifar da ingantaccen haɗin gwiwa tare da abokan ciniki da kuma ƙara tallace-tallace ga kamfani.

Binciken hoto kuma yana taimaka wa 'yan kasuwa su fahimci mahallin hotunansu. Misali, fasahar tantance launi tana bawa kamfanoni damar gano launuka a cikin hoto kuma su tantance yadda suke alaƙa da samfur ko ayyuka. Wannan bayanin zai iya taimaka wa 'yan kasuwa su fahimci halayen abokan ciniki game da wani sabis ko samfur. Bugu da ƙari, 'yan kasuwa na iya amfani da fasahar gano abu don gano abubuwa a cikin hoto da fahimtar abubuwan da abokan ciniki suka fi so dangane da abubuwan da suka fi so.

A ƙarshe, nazarin hoto yana bawa 'yan kasuwa damar tattara bayanai da sauri yayin da suke ci gaba da riƙe daidaito a cikin tsari. Kamfanoni ba sa buƙatar sake duba ɗaruruwan hotuna da hannu yayin ƙoƙarin tantance abubuwan da abokin ciniki ke so; a maimakon haka suna iya sarrafa wannan tsari ta amfani da dabarun nazarin hoto wanda ke inganta inganci sosai yayin da suke samun ingantacciyar sakamako daga nazarin hotuna. Wannan yana nufin cewa abokan ciniki suna samun damar yin amfani da talla na keɓaɓɓen sauri fiye da kowane lokaci, yana bawa kamfanoni damar samar da ingantaccen ƙwarewar mai amfani ga abokan cinikin su.

Ƙara daidaito da inganci

Binciken hoto yana ba da fa'idodi masu yawa ga kasuwancin, gami da haɓaka daidaito da inganci. Ta hanyar nazarin hotuna a maimakon dogaro da hanyoyin hannu ko tushen rubutu, nazarin hoto na iya rage kurakuran shigar da bayanai da kuma hanzarta aiwatar da lokacin aiki.

Binciken hoto kuma yana kawar da buƙatar tara bayanai masu yawa da hannu. Madadin haka, algorithm na iya gano bayanan da suka dace da sauri kuma ya gano alamu don sauƙin fassara ta mutane. Wannan yana haɓaka tsarin yanke shawara kuma yana rage yiwuwar kurakurai masu tsada saboda kuskuren ɗan adam ko kulawa.

Bugu da kari, nazarin hoto yana sauƙaƙa gano alamu cikin sauri a cikin manya-manyan manyan bayanai waɗanda zasu ɗauki dubban sa'o'i na mutum don tantancewa da hannu. Wannan yana rage farashin aiki sosai yayin haɓaka daidaito da inganci a lokaci guda. Binciken hoto kuma yana ba ƙungiyoyi damar ƙididdige abubuwan da ƙila suka ɓace tare da hanyoyin gargajiya, yana taimaka musu yanke shawara mafi kyau cikin sauri fiye da kowane lokaci.
Ta hanyar amfani da fasahar nazarin hoto, kamfanoni na iya rage kurakuran shigar da bayanai da rage farashin aiki yayin da suke ƙara daidaito da inganci a cikin ayyukansu. Wannan yana haifar da ingantacciyar damar yanke shawara da ingantaccen sakamako waɗanda aka samo daga manyan bayanai fiye da abin da za'a iya samu ta amfani da hanyoyin gargajiya kaɗai.

Ingantattun yanke shawara

Yin amfani da nazarin hoto a cikin kasuwanci don taimakawa tare da yanke shawara zai iya haifar da ingantaccen aiki da kuma taimakawa ƙungiyoyi don sarrafa albarkatun su. Ta hanyar dabaru da fasahohin daban-daban da suka shafi, ƙungiya tana da ikon aiwatarwa da sauri da kuma nazarin hotuna daga tushe daban-daban. Wannan yana taimaka musu yanke shawara mai kyau kusan nan take.

Binciken hoto zai iya taimaka wa ƙungiyoyi su rarraba, gano, da kimanta bayanai don ba da fifikon ayyuka ko manufa. Har ila yau, yana ba da damar yin bincike cikin sauri na tsarin rikitarwa a cikin hotuna, wanda ke adana lokaci mai mahimmanci akan ayyukan yanke shawara mafi girma. Bugu da ƙari, nazarin hoto na iya taimaka wa kamfanoni su gano abubuwan da ke faruwa ko kuma al'amura masu maimaitawa waɗanda wataƙila ba a lura da su ba.

Ƙungiyoyi suna ƙara yin amfani da ƙarfin fasahar nazarin hoto irin su basirar wucin gadi (AI) da aikace-aikacen ilmantarwa na inji (ML) don ƙirƙirar samfurin tsinkaya wanda ke ba su fahimtar abin da zai faru dangane da halayen abokin ciniki da yanayin kasuwa a nan gaba. A wannan lokaci, ƙungiyoyin nazarin kasuwa suna ci gaba da yin bincike ta hanyar hotuna da suka tattara daga tushe kamar gidajen yanar gizon masu gasa da tashoshi na dijital. Tare da ingantattun kayan aikin, waɗannan ƙungiyoyin za su iya tantance yadda abokan ciniki ke hulɗa da samfuran ko sabis na ƙungiyar don gina fa'idodin aiki waɗanda ke ba da gasa ga wasu a cikin masana'antar.

Binciken hoto yana taka muhimmiyar rawa a cikin ayyukan kasuwanci a yau ta hanyar samar da kungiyoyi da damar samun bayanai masu mahimmanci da ke haifar da haɓaka da ci gaba da sauri fiye da kowane lokaci.

Yadda ake Amfani da Binciken Hoto

Binciken hoto hanya ce mai inganci don aiwatar da bayanan hoto masu yawa da kuma fitar da bayanai masu amfani daga ciki. Binciken hoto ya ƙunshi amfani da algorithms na kwamfuta don tantance ma'anar hoto. Ana iya amfani da shi don ayyuka iri-iri kamar gano abu, tantance fuska, da rarrabuwar hoto. A cikin wannan sashe, za mu tattauna yadda za a iya amfani da nazarin hoto da wasu aikace-aikacensa.

Rarraba hoto

Bangaren hoto reshe ne na sarrafa hoto wanda a cikinsa aka raba hoto zuwa sassa da yawa, ko yankuna, waɗanda suka ƙunshi duka hoton. Kowane bangare yana wakiltar yanki mai ban sha'awa a cikin hoton, kuma ana iya tunanin shi azaman abu mai hankali da kansa. Manufar rarrabuwa shine a sauƙaƙe da/ko canza wakilcin hoto zuwa wani abu mai ma'ana da sauƙin tantancewa. Ana amfani da dabarun rarrabuwa a cikin hoton likita don ayyuka daban-daban, kama daga gano tsarin halittar jiki zuwa lura da ci gaban cuta. Bugu da kari, algorithms rarrabuwa sune mahimman abubuwan haɗin gwiwa a cikin tsarin sa ido na atomatik kuma ana iya amfani da su don ayyukan kewayawa na mutum-mutumi da gano abu.

Algorithms na rarrabuwa gabaɗaya sun dogara da ko dai hanyoyin tushen pixel ko hanyoyin tushen rarrabuwa. Hanyoyin tushen Pixel suna amfani da alamomi kamar launi ko rubutu don raba hoto zuwa sassa daban-daban. A madadin, hanyoyin tushen rarrabuwa suna haɗa nau'ikan da suka dogara da sifofi kamar siffa ko rubutu don haɗa pixels ta atomatik zuwa sassa/abubuwa masu dacewa.

Bangaren tushen pixel yawanci yana nufin raba abubuwa ta ƙarfinsu ko ƙimar sabaninsu ta hanyar ƙididdige ƙididdiga na duniya (misali, ƙimar ma'ana) akan yanki gaba ɗaya. Hanyoyi na tushen rarrabuwa galibi suna buƙatar shigarwar hannu da lakabi kafin algorithm ya fara aiki; duk da haka waɗannan hanyoyin suna da ƙarfi sosai lokacin da ake mu'amala da manyan bayanan bayanai ko nau'ikan bayanan da ba a san su ba waɗanda ba za a iya samun nasarar raba su ta amfani da ƙimar pixel kawai ba.

Tsaran hoto

Rarraba hoto shine tsari na amfani da algorithms na kwamfuta don tsinkaya da lakabin azuzuwan a cikin hoton da aka bayar. A cikin wannan tsari, ya zama ruwan dare a sami “tarin” na hotunan horon da aka yiwa lakabin da ke aiki azaman shigarwa cikin algorithm na koyo. Dangane da waɗannan hotunan horo, ana fitar da siffofi kamar girma, siffa da launi daga hoton kuma ana amfani da su don rarraba hoto. Wannan dabarar tana ba da damar samun ƙarin ingantattun sakamako idan aka kwatanta da lakabin hannu, inda mutane za su iya yin kuskure saboda kuskuren rarrabuwa ko kurakurai.

Idan aka ba da hoton da ba a san shi ba, mutum na iya amfani da na'ura mai ƙira wanda sannan ya sanya wannan takamaiman shigarwar nau'in fitarwa bisa ga ƙayyadaddun adadin darussa daban-daban. Wasu misalan amfani da wannan jeri daga tsarin tukin mota masu cin gashin kansu suna ba shi damar gane abu zuwa gano fuska a aikace-aikacen biometrics. Bugu da ƙari, samun ingantattun bayanai masu lakabi ta hanyar rarrabuwar hoto na iya ba da ƙarin haske game da muhallinmu ta hanyar yin amfani da manyan bayanan gwamnati don ƙarin bincike - musamman a alaƙa tsakanin nau'ikan abubuwa da aikace-aikacen kasuwanci kamar nazarin tallace-tallace ko nazarin nishaɗi.

Daga aiwatar da hanyoyin sadarwa na jijiyoyi tare da dabarun inganta GPU don samun aiki iri ɗaya har zuwa nau'ikan koyon injin iri-iri - akwai hanyoyi da yawa da mutum zai iya horar da samfuran AI ko yin amfani da dabarun koyo mai zurfi a fagen Rarraba Hoto; ko da yake ba a kula da koyo ba har yanzu yana da wasu matsaloli da ke hana masu bincike yin amfani da su gabaɗaya a iyakar yuwuwar, waɗannan hanyoyin har yanzu ana bincike da bincike sosai. Don haka fahimtar yadda ake aiwatar da su yana buƙatar cikakkiyar fahimta akan algorithms hangen nesa na kwamfuta da kuma ilimin fasaha mai ƙarfi wanda ya haɗa da ayyukan injiniya na ƙarshen ƙarshen kamar harsunan rubutu kamar Python don dalilai na aiwatarwa tare da samun cikakken tushe game da fasahohin da suka kunno kai kamar blockchain ko abubuwan more rayuwa mara sabar uwar garke. aiwatarwa

Gano abu

Gano abu fasaha ce ta kwamfuta da fasaha don tabbatar da daidaito a cikin nazarin bayanan hoto. Wannan fasaha tana amfani da nagartattun algorithms daban-daban don gano abubuwa da halayensu a cikin sauƙin gano hotuna. Yana taka muhimmiyar rawa a fagage da yawa, kamar su binciken bincike, kimiyyar likitanci, sarrafa kansa na masana'antu, tantance fuska da tsarin dubawa ta atomatik.

Gano abu ya ƙunshi nazari ko tattara bayanai don tantance girman, siffa da sauran kaddarorin takamaiman abubuwa a cikin hoto. Irin wannan nazarin hoto na iya haɗawa da gano abubuwa dangane da launi, nau'in su ko ma sifofin da suke ƙirƙira idan an haɗa su tare. Yin amfani da ƙirar lissafi da hanyoyin ƙididdiga yana sa aikin ya fi sauƙi ga kwamfutoci a zamanin yau.

Babban makasudin anan shine a tantance daidai kowane abu da ya bayyana a cikin bayanan hoto ta yin amfani da alamun da aka sanya masa. Ana buƙatar horar da algorithm ɗin tukuna tare da ɗimbin bayanai, gami da misalan 'mai kyau' don ingantattun tsinkaya game da fasalin kowane abu da aka yi niyya kafin a fara horo. Bayan an gama horarwa kuma an yi nasara annabta, za a bi shi ta hanyar matakai kamar ƙididdigewa inda sakamakon da ake tsammani daga shigar da aka bayar yana aiki tare da sakamakon da aka samu daga binciken da aka yi a baya.

Fasaha kamar zurfin koyo (DL) algorithms yana taimakawa tare da ba da izini ga yadudduka da yawa waɗanda tare suke aiki tare don samun ingantaccen sakamako a cikin ɗan gajeren lokaci fiye da hanyoyin gargajiya waɗanda zasu iya samarwa kafin ya kasance cikin wannan nau'in saitin kayan masarufi da ake amfani dashi a yau. A ƙarshe wannan yana sa hanyoyin taimakon AI kamar zurfafa ilmantarwa ya fi kyau fiye da hanyoyin al'ada yayin da suke rage kurakurai sosai yayin da suke samar da ingantattun ma'auni na gano abu wanda zai iya samar da fitarwa cikin sauri cikin yanayin yanayin lokaci.

Kayan aikin Binciken Hoto

Binciken hoto wani tsari ne wanda ya ƙunshi ciro bayanai masu ma'ana daga hotuna ta hanyoyin lissafinsa. Ana amfani da wannan tsari a fagage daban-daban, kamar hoton likitanci, hankali na wucin gadi, da ji na nesa. Abin farin ciki, akwai kayan aiki iri-iri da ke samuwa don nazarin hoto, yana sa tsarin ya fi sauƙi kuma mafi inganci. Bari mu kalli wasu kayan aikin da ake da su don nazarin hoto.

OpenCV

OpenCV ɗakin karatu ne na ayyukan shirye-shirye wanda akasari ke nufi da hangen nesa na kwamfuta na lokaci-lokaci. Yana goyan bayan windows daban-daban, Linux, dandamali da sauran dandamali na software don haka galibi ana amfani dashi don nazarin hoto da ayyukan sarrafa hoto. Wuraren aikace-aikacen OpenCV sun haɗa da: hangen nesa na kwamfuta, gano fuska, gano abu, bin diddigin motsi, rarrabuwa da ganewa.

OpenCV yana ba da kayan aiki masu ƙarfi da yawa waɗanda za a iya amfani da su don yin ayyuka masu rikitarwa kamar gano abu, tantance fuska, haɓakar fasalin atomatik da ƙari. Yana da al'umma mai aiki wanda ke ba da mafita mai dacewa ga masu amfani ga matsalolin gama gari. An tsara ɗakin karatu don haɗawa da yarukan shirye-shirye da yawa kamar C++, Java ko Python. Laburaren yana bawa masu haɓaka damar yin aiki da hotuna a cikin yarukan da suke so don haka rage lokacin haɓakawa sosai. OpenCV tana goyan bayan kowane nau'in bayanai (kamar hotuna a cikin samuwar 2D da 3D) wanda ya sa ya zama kayan aiki mafi dacewa tsakanin duk ɗakunan karatu na sarrafa hoto da ake samu a yau.

Kayan aikin da aka haɗa a cikin OpenCV sune:
-Tace hoto
-Rashin abu
-Features hakar
-Feature matching da rarrabuwa
-Bibiyar abu da nazarin motsi
-3D sake ginawa don abubuwan karatu

Ana amfani da kayan aikin sa sosai don dubawar gani mai sarrafa kansa a cikin saitunan masana'antu saboda fa'idodinsa kamar ƙarancin amfani da ƙwaƙwalwar ajiya, aiwatar da sauri akan yawancin dandamali (musamman waɗanda aka haɗa), ɗaukar hoto tsakanin tsarin ta amfani da daidaitattun ɗakunan karatu kamar OpenMPI/MPI4Py. Lasisin buɗaɗɗen tushen sa yana sa ya zama abin sha'awa ga masu amfani waɗanda ke son amfani da shi ba tare da biyan kuɗi na sarauta ko lasisi daga kamfanoni ko ƙungiyoyi kamar mathworks da sauransu…

TensorFlow

TensorFlow babban ɗakin karatu ne na software wanda ake amfani dashi don haɓakawa da horar da ƙirar koyo mai zurfi. Tsarukan ilmantarwa mai zurfi, kamar samfurin nazarin hoto, an gina su ne da nau'ikan nau'ikan jijiya masu yawa waɗanda ke aiwatar da bayanan shigar da bayanai, kamar hoto. TensorFlow yana bawa masu haɓakawa damar haɓakawa cikin sauƙi da tura samfuran zurfafan koyo na zamani waɗanda za a iya amfani da su a hangen nesa, sarrafa harshe na halitta da sauran fannoni.

Babban fa'idar amfani da TensorFlow shine cewa yana ba da hanya mai sauƙi don ƙirƙira da tura samfuran koyo na inji mai ƙarfi cikin sauri da inganci. TensorFlow kuma yana goyan bayan aikace-aikace da yawa a cikin MacOS, Windows, Linux da dandamali na wayar hannu. Kuma saboda buɗaɗɗen tushe ne kuma yana da wadataccen tallafin al'umma, zaku iya amfani da kayan aikin da ake dasu a cikin tsarin haɓaka ku ba tare da sake ƙirƙira ƙafafun ba ko kuma ciyar da ƙarin lokaci akan lambar lalata daga karce.

Baya ga horar da sabbin samfura daga karce, TensorFlow kuma yana ba ku damar sake amfani da samfuran da aka riga aka horar don canja wurin koyo ko daidaitawa akan takamaiman matsala. Wannan yana ba da damar haɓaka hanyoyin magance al'ada da sauri waɗanda aka keɓance ga takamaiman matsaloli yayin cin gajiyar ilimin da aka gina a cikin cibiyoyin sadarwa da ake da su. Tare da wannan sassaucin ra'ayi a hannu, masu haɓakawa za su iya fara gwaji tare da gine-gine daban-daban da sauri fiye da kowane lokaci - haɓaka su da gudana tare da sakamako mai girma ba tare da wani lokaci ba kwata-kwata.

Google Cloud Vision

Google Cloud Vision kayan aiki ne mai ƙarfi na sarrafa hoto wanda aka ƙera don taimakawa kasuwancin tantance hotuna da samun fa'ida mai mahimmanci. Yana dogara ne akan fasaha iri ɗaya da Google Photos ke amfani da shi, yana mai da shi abin dogaro da sauƙin amfani. Wannan kayan aiki na tushen girgije yana ba 'yan kasuwa damar aiwatar da hotuna masu yawa cikin sauri, gano fuskoki, gano abubuwa, da cire rubutu duk yayin guje wa aikin hannu.

Wani babban fasalin Google Cloud Vision shine ikonsa na gano abubuwa daga nau'ikan nau'ikan nau'ikan dabbobi ko kayayyaki. Tare da fasalin “gane tambarin”, masu amfani za su iya haɗawa tare da samfuran kamar Facebook ko Instagram don cikakkun bayanai da bin diddigi. Siffar "ganowar ƙasa" yana taimaka wa masu amfani su gano alamomin da ke kewaye da su kuma su fahimci al'adun yankinsu da kyau nan take.

Baya ga iyawar gano abu, Google Cloud Vision kuma yana ba masu amfani da nazarin ra'ayi da kuma kayan aiki mai sarrafa kansa don hotuna - cikakke don bincike nan take! Bugu da ƙari, wannan kayan aikin yana ba da damar gane fuska waɗanda ke da kyau don dalilai na tallace-tallace tunda suna gano halaye kamar shekaru da jinsi tare da daidaito mai yawa. A ƙarshe, iyawar cire kalmar maɓalli yana ba masu amfani damar yin bincike da sauri ta hanyar hotunan shigarwa yayin gano kalmomin da suka dace waɗanda za a iya amfani da su a cikin matakai ko aikace-aikace na gaba.

A ƙarshe, Google Cloud Vision babban zaɓi ne lokacin neman kayan aikin sarrafa hoto don taimaka wa 'yan kasuwa su tantance hotunansu da inganci fiye da kowane lokaci!

Kammalawa

Binciken hoto kayan aiki ne mai ƙarfi don tattara bayanai daga hotunan dijital. Ana iya amfani da shi a fannoni daban-daban kamar magani, mota, da daukar hoto. Amfanin yin amfani da nazarin hoto yana da yawa kuma yana iya adana lokaci, kuɗi, da ƙoƙari. A cikin wannan labarin, mun kalli tushen binciken hoto, menene shi, da kuma yadda zai amfane ku. Mun kuma tattauna nau'o'in bincike daban-daban da mafi kyawun ayyuka don nazarin hoto mai nasara. A ƙarshe, a bayyane yake cewa nazarin hoto kayan aiki ne mai ƙarfi don tattara bayanai da kuma yanke shawara na tushen bayanai.

Summary

Zaɓin gasassun don kofi ɗinku ya dogara da dandano da ƙarfin da kuka fi so da kuma abubuwan yanki na yanki. Roasters daban-daban suna ba da nau'ikan sunaye da nau'ikan launi daban-daban, amma gabaɗaya, gasassun haske za su sami ɗanɗano mai laushi da ɗanɗano abun ciki na maganin kafeyin yayin da gasassun duhu sun fi ɗaci tare da ƙarancin acidity. Shahararrun nau'ikan kowanne sun haɗa da City Light, Half City, Cinnamon, City, American, Breakfast, Full City, High Continental New Orleans European Espresso Viennese Italiyanci Faransanci. Ko kai mai son haske ne ko wake kofi mai duhu-ko wani wuri a tsakanin-ka tabbata ka tambayi kafin ka saya don samun ainihin abin da kake nema!

Bugu da ari Karatun

Yin amfani da nazarin hoto don samun fahimta da yanke hukunci daga hotuna yana ƙara zama sananne a cikin masana'antu da yawa, daga kiwon lafiya zuwa tsaro. Idan kuna son ƙarin koyo game da wannan fasaha, la'akari da albarkatu masu zuwa:

Labarai & Koyawa
- "Binciken Hoto: Menene Kuma Yadda Ake Amfani da shi" ta Oracle
- "Gabatarwa ga Binciken Hoto ga mutanen da ba su san komai ba game da Binciken Hoto" na Kent Woodard
- "Mataki 8 Don Fahimtar Binciken Hoto da Gudanarwa a cikin Koyan Injin" na Victor Charpenay
Littattafai & Publications
-Tsarin Hoto: Ka'idoji da Aikace-aikace na Milan Sonka et al.
- Kwamfuta da hangen nesa na Inji - Ka'idar, Algorithms, Ayyuka (4th Ed.) na ER Davies
-Tsarin Hoto na Dijital tare da OpenCV - Bibliography (Ver 4.1) David Dardas Webinars & Podcasts Ya Haɗa
-Hanyoyin Kwamfuta Ta hanyar Webinar Learning Machine wanda Treehouse AI ya shirya
-Tsarin Koyon Injin Podcast wanda Google Cloud Platform ya shirya Har ila yau, akwai wasu littattafai da yawa, labarai, gidajen yanar gizo, kwasfan fayiloli, tarurrukan bita da sauran albarkatu da ke akwai waɗanda za su iya taimaka muku ƙarin fahimtar hanyoyin nazarin hoto da yadda ake amfani da shi don takamaiman aikace-aikace.

Barka dai, Ni Kim, mahaifiya ce kuma mai sha'awar tsayawa motsi tare da kwarewa a ƙirƙirar kafofin watsa labarai da haɓaka yanar gizo. Ina da sha'awar zane da raye-raye, kuma yanzu na fara nutsewa a cikin duniyar tasha-motsi. Tare da bulogi na, Ina raba abubuwan da na koya tare da ku mutane.