Umbono wemfundo yekhamera yokuphakama.
Izindlela zokukhanya zokukhanya, ezaziwayo njengoba i-3D camera technology, kuyinto yezokukhanya eyakwazi ukuthatha ulwazi lwokukhanya lwezinto. Ngaphandle kwamakamelo angaphandle okukhanya okwenza kube nokwazi ukuthola ulwazi lwezinye izinkanyezi ezitholakala ekhaya, izindlela zokukhanya zingakwazi futhi ukuthola ulwazi lwezinye izinkanyezi ekuboniseni kwezinkanyezi kwezinkanyezi kwezinkanyezi, ngakho kwenza 3D model. Le ndlela isiza izinto ukuthola izici ezintathu, ekwenzeni zingakwazi ukuthatha izinto zokubuka ezweni ngokwanele kanye nokwazi ukuthuthukisa isikhathi kanye nokwazi kwamakhasimende okubuka.
Isenzo Lokusebenza Lokukhanya Kwesikhala Sokubuka Ngokwesifazane
Isenzo sokusebenza sokamela okuphambene kwezinkanyezi kuyayisisekelo kwezikhathi nokufanekisa kwesikhathi sokukhanya. Izindlela ezithile zokusebenza kuzoba:
Isikhathi-sokuhamba (TOF): I-laser elincane elithunyelwe, futhi isikhathi sokuthatha ukuya nokubuyela kuyathweswa.
Isikhathi esizimele: Izithombe zezinkanyezi zokukhanya zithunjwa, futhi isikhathi esikhona ekuphathweni kwemiphumela yezinkanyezi zokukhanya kwiindawo ezithintweni zomsebenzi kuzo kwenza ukuthi kwenziwe ukuthola imiphumela yobunzima.
Speckle: Random speckles generated by laser spots are used to observe the tiny vibrations on the object surface, thereby calculating depth information.
Izinhlobo zezindlela zokusetshenziswa kwesikhumba esikhulu sidlulela kwezokusebenza kwesikhumba esikhulu.
Ngenxa yokhanyo elula yayo yokubonisa okwesithathu, isayensi yekhamera yomphumela ivumele ukusebenzisa kakhulu ezindaweni eziningi, kusukela:
Izinto ezitholakala kwi-Reality/Augmented Reality: Izinkambo zemidlalo zokwethula zingathola ukubonakala okuphelele kwesandla, ukubonakala kwesandla, nokufundwa kwesikhumba, okwenza kube ngcono ukwenzela kube ngcono kwe-VR/AR.
Izindlela zokuthuthukisa: Izinkampani zokuthuthukisa zingathola imininingwane yezindawo ezitholakala, ezisebenzisa ukuthola izinto ezitholakalayo kanye nokwazi ukubona izindlela zokuthuthukisa.
Ukwenza Okwenziwe: Izinkambo ziyasebenzisa izinkambo ezimbalwa njengamagama okuthiwa amakhanda amakhanda ukwenza ukuphakama okuphezulu, ukubonisa okuthiwa ukubonisa, futhi ukubonisa.
Ukwenza 3D Reconstruction: Izinkambo zezinkanyezi zingathola imininingwane yezintathu phakathi kwazo, ezikwazi ukwenza izinto zezinkanyezi ezitholakala kwezindawo zazo, ezizoba nezinto zezinkanyezi ezitholakala kwezindawo zazo ezitholakala kahle.
Ukusebenza kwezinyathelo zomuntu-nomshini: Ikhamera lezinzuzo lizama ukuthola izinhlobo eziningi zomhlaba ngokwanele, kwenza kube lula ukuthola izinto ezithakazelisayo zomuntu-nomshini.
Izindlela zokusetshenziswa kwesikhumba esiphakathi zikwazi ukusiza ekuboniseni izinto ezithakazelisayo kanye nezinto ezithakazelisayo ngaphandle kokuthatha iziphethu zokuthi kufanele kube nokukhethwa okuphezulu.
Inkampani yokubonisa: Izinkampani zokubonisa izinto zingaphansi zokubonisa izinto, zingaba nesandla esiphakeme kanye nesandla esiphakeme kwezinto, ekwakhiweni kwezinto eziningi.
Ukubonisa okuphezulu: Ikhamera lokubuka okuphezulu kungenzeka ukuthola okuphezulu kwezinto, ukwakha ukwazi nokusebenza okuphezulu kwezindawo.
Izinkomba ezinkulu zokusebenza: Izinga eliphakeme liphumelela izinkomba ezinkulu zokusebenza ezindaweni ezithile njengoba izirobotiksi, ivirtual reality, ukwakha izigame, kanye nokuyeka ukudriveka okwenzayo.
Ukugcina.
Njengoba i-visual perception technology enhle, i-camera ye-depth ikhuthaza ukubonakala kwemidlalo esikhundleni. Ngenxa yobuchwepheshe bokwakha kwezinto kanye nokucaciswa kwemali, sisebenzise ukuthi i-camera ye-depth izobe inamandla angaphezu kwezidingo zezomnotho.