isiZulu
Ukuqhathanisa i-2D ne-3D Camera Vision kuRobotics: Imibono Ebalulekile Engochwepheshe Nabadali
Kwadalwa ngo 01.15
Emkhakheni wezobuchwepheshe be-robotics osathuthuka ngokushesha, izinhlelo zokubona ngekhamera zisebenza njenge "amehlo" enza imishini ikwazi ukuqonda nokusebenzisana nomhlaba. Kusukela ekuzenzakaleleni kwezimboni kanye nokuphathwa kwezindawo zokugcina izimpahla kuya osizweni lwezempilo kanye nokuzulazula okuzimele, ukukhetha phakathi kombono wekhamera we-2D ne-3D kuthinta ngqo ukusebenza kwe-robot, ukonga izindleko, kanye nekhono lokuqedela imisebenzi eyinkimbinkimbi. Ngenkathi umbono we-2D ubuyisikhathi eside uyisisekelo kwezobuchwepheshe be-robotics,Ubuchwepheshe be-3D izuzile kakhulu eminyakeni yamuva, ngenxa yentuthuko ekwakhiweni kwezinzwa namandla okucubungula. Kodwa yikuphi okulungile kwisicelo sakho se-robotic? Lesi sihloko sidlula ukuqhathanisa okungaphezulu ukuze sihlukanise imininingwane yezobuchwepheshe, izimo zangempela zokusebenzisa, nezinqumo ezibalulekile ezizokusiza ukuthi wenze isinqumo esinolwazi—konke ngenkathi uchaza ukuthi kungani ubuchwepheshe bungahlanganisi "obungcono," kodwa kunalokho bungcono ezimweni ezithile.
Izisekelo: Indlela Imibono Yamakhamera E-2D kanye Ne-3D Esebenza Ngayo Ku-Robotics
Ngaphambi kokungena ekuqhathanisweni, kubalulekile ukuqonda izindlela eziyinhloko zohlelo ngalunye lokubona nokuthi luhlanganiswa kanjani namapulatifomu e-robotic. Ngokuyinhloko, amakhamera e-2D nawe-3D aqoqa idatha ebonakalayo, kodwa ayenza ngezindlela ezihlukile kakhulu, okuholela emakhonweni ahlukene nemikhawulo.
Imibono Yamakhamera E-2D: Idatha Eyingxenye Eyisicaba Yokubona Okulula
Izinhlelo zokubona ngekhamera ye-2D zisebenza ngokuthwebula izithombe ezimbili-ndimeni, okufana ncamashi nendlela ikhamera yefoni yakudala esebenza ngayo. Lezi zithombe zimelela izigameko njengenethi yama-pixel, lapho i-pixel ngayinye iqukethe ulwazi mayelana nombala (i-RGB) noma ukukhanya (amakhamera angenawo umbala). Ku-robotics, amakhamera e-2D avame ukusebenza kanye nezinqubo zokucubungula izithombe ukuthola imiphetho, izimo, amaphetheni, noma ukungafani kwemibala. Ngokwesibonelo, ikhamera ye-2D ingase ibone ikhodi ye-QR ephaketheni, ilinganise ubude bengxenye, noma ithole ubukhona benzinto ku-conveyor belt.
Isici esibalulekile sokubona kwe-2D sihamba phambili ngemininingwane yeplanethi. Siphumelela emisebenzini lapho into ethakazelisayo ikwi-surface elula, noma lapho ukujula kungabalulekile noma kungaqondwa ngezindlela zesibili (isb., usebenzisa ibanga eliqinile phakathi kwekhamera nezinhloso). Izinhlelo ze-2D nazo zihluke kakhulu ekufakeni, zidinga amandla okucubungula amancane kunezinketho ze-3D, okwenza kube ukukhetha okungabizi kakhulu kwezicelo eziningi ezilula ze-robotic.
I-3D Camera Vision: Idatha Yokujula Yokwazi Isikhala
Izinhlelo zokubona ze-3D, ngokuphambene, ziqopha hhayi ububanzi nobuphakanyiswa (njengezithombe ze-2D) kodwa futhi nob depth, zakha "iphuzu lefu" elithathu noma i-mesh yalesi sithombe. Le mininingwane ye-depth iyona enza ama-robot abe nolwazi lwezindawo oluyiqiniso—okuvumela ukuba aqonde ukuthi izinto zikhona kangakanani, ifomu lazo, kanye nendawo yazo uma kuqhathaniswa nezinye izinto ezisemvelweni. Kukhona ubuchwepheshe obuvamile obusetshenziselwa ukukhiqiza idatha ye-3D emkhakheni we-robotics, kuhlanganisa:
• Ukubona Okuyisiteleyo: Kusebenzisa amakhamera amabili (afana namehlo omuntu) ukuthatha izithombe ezihambelana, bese kubalwa ubujamo ngokulinganisa umehluko phakathi kokubuka okubili.
• Isikhathi Sokundiza (ToF): Ikhishelwa ukukhanya okubomvu bese ilinganisa isikhathi esithatha ukukhanya ukubuyela emuva ezintweni bese kubuyela kusenzisi, ibala ukujula ngokusekelwe kwisebhedi yokukhanya.
• Ukukhanya Okwakhiwe: Kukhishwa isithombe (isibonelo, igridi noma amachashaza) esibukweni; ukuhlanekezelwa kwesithombe kusetshenziselwa ukubala ukujula.
Le khono lokubona ukujula lenza imbono ye-3D ilungele imisebenzi edinga ama-robot ukuthi axhumane nezinto ezinezimo ezingajwayelekile, ahambe ezindaweni ezingahlelekile, noma enze imisebenzi eqondile yokukhetha nokubeka—lapho ukwazi indawo eqondile yento kubalulekile.
Ukuqhathaniswa Okubhekene: Izilinganiso Ezibalulekile Zezicelo ZamaRobhothi
Ukukusiza ukuthi uhlole ukuthi yisiphi isistimu sombono esihambisana nezidingo zakho, ake siqhathanise umbono wekhamera ye-2D neye-3D ezilinganisweni ezibalulekile eziyisithupha zamarobhothi: amakhono okuqonda, ukufaneleka komsebenzi, izidingo zokubala, izindleko, ukumelana nemvelo, kanye nobunzima bokuhlanganiswa.
1. Amakhono Okubona
Uma kuqhathaniswa, umehluko omkhulu phakathi kokubona kwe-2D ne-3D uhlelwa kumakhono okubona. Izinhlelo ze-2D zingakwazi kuphela ukuthola izici ezisemgqeni—imikhawulo, imibala, ama-textures, nezimo ngaphakathi komgqeni we-2D. Ziyahluleka ngezinto eziphakanyisiwe, ezibekwe phezulu, noma ezinomumo ongajwayelekile, njengoba zingakwazi ukuhlukanisa phakathi kwento elula kanye nento enomumo wesithathu enokukhombisa okufanayo kwe-2D. Ngokwesibonelo, ikhamera ye-2D ingase ibhujiswe iphepha eliphukile njengeshidi elilula, okuholela eziphambukisweni ekuphathweni kwe-robot.
Izinhlelo ze-3D, ngokuphambene, zithwebula izici zesikhala, zivumela amarobhothi ukuthi aqaphe izinto kungakhathalekile ukuthi zibhekephi, zisephi, noma zinjani. Zingakwazi ukubona umehluko phakathi kwezinto ezihlangene, zilinganise ivolumu, futhi zikwazi ngisho nokuthola amaphutha amancane ezindaweni ezi-3D (isibonelo, imbobo esingxenyeni yensimbi). Lokhu kwenza umbono we-3D ube namandla amakhulu emisebenzini edinga ukuqonda okujulile kwendawo ezungezile.
2. Ukufaneleka Komsebenzi
Ukukhetha phakathi kombono we-2D nowe-3D kuvame ukunciphisa umsebenzi othize umshini wokubona owenzelwe ukuwenza. Ake sihlukanise ukuthi yimiphi imisebenzi esekela ubuchwepheshe ngamunye:
Imisebenzi ye-2D Camera Vision
Umbono we-2D ukhanya emisebenzini ehlelekile, ephindaphindayo lapho indawo ilawulwa khona futhi ubude akubalulekile. Izibonelo ezijwayelekile zihlanganisa:
• Ukulawulwa kwekhwalithi: Ukuhlola izindawo ezicaba (isb., amabhodi wesifunda aphrintayo, amalebula) ukuze kutholwe amaphutha afana nezingxenye ezingekho noma ukuphrinta okungalungile.
• Ukuskena amakhodi (Barcode/QR code): Ukufunda amakhodi emaphakeji, emikhiqizweni, noma ezingxenyeni ezindaweni zokugcina izimpahla noma ekwenzeni izinto.
• Ukubeka ezindaweni eziyisicaba: Ukuqondisa ingalo ye-robot ukuthi ithathe izinto kusuka ku-conveyor belt lapho izinto zihlelwe ngokulinganayo futhi zivundlile.
• Ukulandela imigqa: Ukunika amandla ama-robot ahambayo ukuthi azulazule emgqeni owenziwe ngaphambili (isibonelo, ezindaweni zokugcina izimpahla noma ezimbonini).
Imisebenzi ye-3D Camera Vision
I-3D vision ibalulekile emisebenzini engahlelekile noma eyinkimbinkimbi edinga ukuqonda indawo. Izibonelo ezijwayelekile zihlanganisa:
• Ukukhetha nokubeka izinto ezingajwayelekile: Ukuphatha izinto ezifana nezithelo, imifino, noma amabhokisi abekwe ngokungahleliwe ezindaweni zokugcina izimpahla.
• Ukuzulazula ngokuzenzakalelayo: Ukusiza amarobhothi eselula (isb., amarobhothi okuletha, ama-AGV) ukuthi agweme izithiyo futhi azulazule ezindaweni eziguquguqukayo (isb., izindawo ezixakekile, izindawo zokwakha).
• Imisebenzi yokuhlanganisa: Ukulungisa ngokunembayo izingxenye ze-3D (isb., ukufaka igiya ku-shaft) lapho ubujamo nobude bubalulekile.
• Imishini yezokwelapha: Ukusiza odokotela abahlinzayo ngemisebenzi yokuhlinza encane ngokunikeza imibono ye-3D yezitho zangaphakathi noma ukuqondisa izingalo zemishini ukuthi zisebenze nezicubu ezithambile.
3. Izidingo Zokubala
Amandla okubala ayisici esibalulekile ezinhlelweni zobuchwepheshe, njengoba kuthinta impilo yebhethri (ezinhlelweni ezihambayo) kanye nezindleko zesistimu yonke. Izinhlelo zokubona ezimbili (2D) zidinga amandla okubala aphansi kakhulu ngoba zicubungula izithombe eziyisicaba ngezindlela ezilula (isibonelo, ukuthola imiphetho, ukufanisa izakhiwo). Lokhu kuzenza zilungele ama-microcontroller anomthamo ophansi kanye nezinhlelo zobuchwepheshe eziqala.
Izinhlelo zokubona ze-3D, ngakolunye uhlangothi, zidinga amandla amaningi okucubungula. Ukukhiqiza nokucubungula amafu amaphuzu noma izintambo ze-3D kuhilela izibalo eziyinkimbinkimbi (isibonelo, ukufanisa okubili, ukuhlukaniswa kwamafu amaphuzu) ezidinga ama-CPU, ama-GPU, noma ihadiwe ekhethekile (isibonelo, ama-FPGA) anamandla aphezulu. Kumalobothi eselula, lokhu kungaholela ekuphileni okufushane kwebhethri ngaphandle kokuthi kuhambisane nama-processor asebenzisa kahle amandla. Kodwa-ke, intuthuko ku-edge computing kanye nama-AI accelerators yenze ukubona kwe-3D kwenzeke kakhulu kububanzi obubanzi bezicelo zamalobothi eminyakeni yamuva nje.
4. Izindleko
Izindleko zivame ukuba yisici esinqumayo, ikakhulukazi ezinkampanini ezincane naphakathi (SMEs) noma lapho kusetshenziswa khona ubuchwepheshe obuningi. Izinhlelo zokubona ngekhamera ezimbili (2D) ngokuvamile zishibhile kakhulu kunezindlela ezintathu (3D). Ikhamera eyisisekelo ye-2D monochrome ingabiza kancane njengo-$50, futhi ngisho namakhamera aphezulu ezimboni eziyi-2D avame ukubiza kusuka ku-$200 kuya ku-$1,000. Ngaphezu kwalokho, isofthiwe ye-2D namathuluzi okuhlanganisa avame ukuba avuthiwe futhi anezindleko eziphansi.
Izinhlelo zokubona ngekhamera ye-3D, ngokuphambene, zibiza kakhulu. Ikhamera ye-3D ToF yezinga eliphansi ingabiza phakathi kuka-$200 no-$500, kanti amakhamera e-3D ezimboni ezisebenza kakhulu (isibonelo, izinhlelo zokubona ezimbili zokukhiqiza okunembayo) zingadlula u-$5,000. Izindleko zesoftware nokuhlanganiswa kwezinguquko ze-3D nazo ziphakeme, njengoba zidinga ubuchwepheshe obukhethekile ekucubunguleni kwamafu amaphuzu kanye ne-algorithms ye-3D. Kodwa-ke, umehluko wezindleko uyancipha njengoba ubuchwepheshe be-3D buvame kakhulu, futhi ukubuyisa utshalomali (ROI) kungaba phezulu emisebenzini lapho ukubona kwe-3D kuvumela ukuzenzakalela okungenakwenzeka ngezinhlelo ze-2D.
5. Ukumelana Nemvelo
Ama-robot avame ukusebenza ezindaweni ezinzima, ngakho-ke ukuqina kwesistimu yokubona kwezinto ezithinta njengezimo zokukhanya, uthuli, umswakama, nokudlidliza kubalulekile. Izinhlelo zokubona ze-2D ngokuvamile zivame ukumelana nezimo zokukhanya eziguquguqukayo kunezi-3D zangaphambili, njengoba amakhamera amaningi e-2D asebenzisa izinzwa ezingenawo umbala noma izilungiselelo zokuchayeka ezilungisekayo ukuze kubhekwane nezindawo ezikhanyayo noma ezimnyama. Kodwa-ke, i-2D vision ingasebenza kanzima ngokukhanya okukhanyayo, izithunzi, noma ukukhanya okufanayo okunciphisa umehluko—izinkinga ezingancishiswa ngezilungiselelo zokukhanya ezikhethekile.
Izinhlelo zokubona ze-3D ziyahlukahluka ngokuqina kwazo kwemvelo kuye ngobuchwepheshe obusekelwe. Izinhlelo zokubona ze-stereo, ngokwesibonelo, ziyazwela ekushintsheni kokukhanya (njengoba zisekelwe ku-contrast yesithombe), kanti izinhlelo ze-ToF nezokukhanya okwakhiwe ziqine kakhulu ngokumelene nokukhanya okuguquguqukayo ngoba zisebenzisa ukukhanyisa okusebenzayo (ukukhanya kwe-infrared). Kodwa-ke, amakhamera e-ToF angahlupheka ngezindawo ezibonakalayo (isb., insimbi, ingilazi), ezibuyisela ukukhanya kude nesenzisi futhi zibe nomphumela wedatha ejulile engalungile. Izinhlelo zokukhanya okwakhiwe, phakathi naleso sikhathi, zingaphazanyiswa uthuli noma intuthu ehlakaza iphetheni elibonakalayo. Sekukonke, izinhlelo ze-3D zidinga ukuhlelwa kwemvelo okucophelela kakhudlwana, kodwa intuthuko ekwakhiweni kwezinsenzisi ithuthukise ukuqina kwazo eminyakeni yamuva nje.
6. Ukuphazamiseka Kokuhlanganisa
Ukuhlanganisa uhlelo lokubona kuplathifomu ye-robotic kuhilela ukuxhuma ikhamera ku-controller ye-robot, ukulungisa uhlelo, nokuhlela ama-algorithms okubona ahambisanayo. Izinhlelo zokubona ze-2D zilula ukuzihlanganisa ngoba zisebenzisa izikhombimsebenzisi ezijwayelekile (isb., i-USB, i-Ethernet) futhi zinama-software libraries achazwe kahle (isb., i-OpenCV, i-Halcon). Ukulungisa nakho kulula, njengoba kuvame ukuhlanganisa ukulungisa ikhamera nesistimu ye-coordinate ye-robot endaweni eyisicaba.
Izinhlelo zokubona ze-3D zinzima ukuhlanganisa ngenxa yobukhulu obengeziwe bokujula. Ukulinganisa kuhilela ukulungisa i-3D point cloud nesistimu yokuxhumanisa yerobhothi, inqubo ethatha isikhathi esiningi futhi idinga amathuluzi akhethekile. Ngaphezu kwalokho, ukuhlela ama-algorithm okubona we-3D (isibonelo, ukuhlukaniswa kwe-point cloud, ukubona izinto) kudinga ubuchwepheshe obuphezulu kune-2D programming. Kodwa-ke, abakhiqizi abaningi bekhamera ye-3D manje banikeza amamojula esofthiwe akhelwe ngaphambili namakhithi okuhlanganisa ezinkundleni ezithandwayo zerobhothi (isibonelo, Universal Robots, Fanuc), okwenza lula inqubo.
Izibonelo Zokusebenzisa Emhlabeni Wangempela: 2D vs 3D Esikhathini Sangempela
Ukuchaza ukuthi lezi zihlukunyeziwe zidlala kanjani empilweni yangempela, ake sihlolisise izinhlelo ezimbili zama-robhothi ezisebenzayo nokuthi umbono we-2D no-3D usetshenziswa kanjani (noma awusetshenziswanga) kulowo nalowo.
Isibonelo Sokusebenzisa 1: Ukugcwalisa Ama-oda Esitolo Esikhulu
Esikhungweni sokugcwalisa ama-oda esitolo esikhulu, ama-robhothi avame ukunikezwa umsebenzi wokukhetha izinto emabhokisini bese ewafaka emabhokisini okuthumela. Ukukhetha phakathi kombono we-2D no-3D kulo msebenzi kuncike ohlotsheni lwezinto ezibanjwa:
• Isicelo Sombono we-2D: Uma isitolo esikhulu sigxile ezintweni ezicaba, ezifanayo (isibonelo, izincwadi, ama-DVD) ezifakwe kahle emabhokisini, uhlelo lombono we-2D lunganele. Ikhamera ye-2D ingathola imiphetho yezinto bese iqondisa ingalo yerobhothi ukuthi izikhethe. Lesi yisixazululo esonga imali sokugcwalisa okuningi, okuyinkimbinkimbi ephansi.
• Isicelo Sokubona Okwe-3D: Uma isikhungo sokugcina izimpahla siphethe izinto ezingajwayelekile (isibonelo, amathoyizi, izingubo, izinto zasendlini) ezibekwe ngokungahleliwe, ukubona okwe-3D kubalulekile. Ikhamera ye-3D ingakha ifu lamaphuzu esithenjini, ibone izinto ngazinye (ngisho nalapho zihlangene), futhi inqume indawo efanele yokubamba yengalo yerobhothi. Ngaphandle kokubona okwe-3D, irobhothi ngeke likwazi ukubona umehluko phakathi kwezinto ezihlangene noma ukuqonda izimo zazo, okuholela ekuhlulekeni kokuthatha.
Isimo Sokusebenzisa 2: Ukulawulwa Kwekhwalithi Embonini
Embonini yokukhiqiza, amayunithi asetshenziselwa ukuhlola imikhiqizo ukuthi ayinawo amaphutha ngaphambi kokuba aphume emgqeni wokuhlanganisa. Futhi futhi, ukukhetha phakathi kokubona okwe-2D nokwe-3D kuncike kumkhiqizo nohlobo lwamaphutha atholwayo:
• Isicelo Sokubona Okungu-2D: Emikhiqizweni eyisicaba njengezikhonkwane zokunyathelisa (PCBs) noma amalebula, uhlelo lokubona okungu-2D lungahlola amaphutha afana nezingxenye ezingekho, ukuphrinta okungalungile, noma imihuzuko. Ikhamera engu-2D ingathatha izithombe ezinokulungiswa okuphezulu kwe-PCB bese iziqhathanisa nesithombe esiyisibonelo ukuze kutholwe okungajwayelekile. Lesi yisixazululo esisheshayo, esonga izindleko emigqeni yokukhiqiza esheshayo.
• Isicelo Sokubona Okungu-3D: Emikhiqizweni engu-3D njengezingxenye zensimbi ezibunjiwe noma izingxenye zepulasitiki, ukubona okungu-3D kuyadingeka ukuthola amaphutha afana nokugqoboka, ukuqhekeka, noma ukungalingani kobukhulu. Ikhamera engu-3D ingakala ukuma okunembayo nobukhulu bengxenye bese iziqhathanisa nemodeli engu-3D, iqinisekisa ukuthi ingxenye ihlangabezana namazinga ekhwalithi. Ukubona okungu-2D kungaphuthelwa lawa maphutha ngoba ayikwazi ukuqonda ubujamo bengxenye.
Indlela Yokukhetha: Uhlaka Lwezinqumo Onjiniyela
Lapho ukhetha phakathi kwe-2D ne-3D ikhamera yembono yesicelo sakho se-robotic, landela lolu luhla lwezinyathelo ukwenza isinqumo esinolwazi:
1. Chaza Izidingo Zomsebenzi: Qala ngokuchaza ngokucacile ukuthi yini irobhothi okudingeka ukuthi ikwenze. Ingabe idinga ukuthola izinto eziyisicaba noma izinto eziyi-3D? Ingabe ulwazi olujulile lubalulekile? Ingabe imvelo ihlelekile noma ayihlelekile? Yini ukunemba nesivinini okudingekayo?
2. Linganisa Isilinganiso Senzuzo Nezindleko: Bala izindleko zokuba nazo (TCO) zamasistimu we-2D nawe-3D, okuhlanganisa nekhamera, isoftware, ukuhlanganiswa, nokugcinwa. Bese uhlola i-ROI: Ingabe umbono we-3D uzovumela ukuzenzakalela okungenakwenzeka ngenye indlela, noma ingabe umbono we-2D uzokwanela ngezindleko eziphansi?
3. Cabanga Ngemvelo: Hlola imvelo lapho i-robot izosebenza khona. Ingabe ukukhanya kuyashintsha? Ingabe kukhona izindawo ezikhanyayo, uthuli, noma umswakama? Khetha uhlelo lokubona olungakwazi ukumelana nalezi zimo.
4. Hlola Izinsiza Zokubala Nezokuhlanganisa: Ingabe unamandla okubala ukuze usekele ukubona kwe-3D? Ingabe unolwazi lokuhlanganisa nokuhlela ama-algorithms e-3D? Uma kungenjalo, uhlelo lwe-2D lungaba ukukhetha okungcono, noma ungase udinge ukutshalwa kwezimali kumakithi okuhlanganisa kwe-3D akhiwe ngaphambili.
5. Hlola Ama-Prototypes: Noma kungekudala, hlola kokubili izinhlelo zokubona ze-2D ne-3D ku-prototype yesicelo sakho se-robotic. Lokhu kuzokusiza uqinisekise ukusebenza, uthole izinkinga ezingaba khona, futhi wenze isinqumo sokugcina esisekelwe kudatha yeqiniso.
Ikhanda le-2D ne-3D emshinini wokubona emshinini wokubona
Njengoba ubuchwepheshe be-robotics buqhubeka nokuthuthuka, izinhlelo zokubona ze-2D ne-3D zizodlala izindima ezibalulekile. Ukubona kwe-2D kuzohlala kuyisixazululo esisebenza kahle kwezabelo ezilula, ezakhiwe kahle, futhi intuthuko ku-AI izothuthukisa amakhono ayo (isibonelo, ukubona izinto okuthuthukisiwe ekukhanyeni okuguquguqukayo). Ngaleso sikhathi, ukubona kwe-3D kuzotholakala kalula njengoba izindleko ziba phansi futhi amathuluzi okuhlanganisa athuthuka. Sizobona futhi izinhlelo eziningi ezihlanganisiwe ezihlanganisa ukubona kwe-2D ne-3D ukuze kuzuze amandla omabili—isibonelo, ukusebenzisa ukubona kwe-2D ukuze kuthwetshulwe amabhakhodi ngokushesha nokubona kwe-3D ukuze kusingathwe izinto ngokunembayo.
Enye indlela eyinhloko ukuhlanganiswa kwe-AI nokufunda komshini nombono we-3D. Ama-algorithm e-AI angathuthukisa ukubona izinto ze-3D, enze izinqumo zesikhathi sangempela, futhi asize imishini yokubona ukuthi izivumelanise nezindawo eziguquguqukayo. Ngokwesibonelo, umshini wokubona one-3D nombono we-AI ungakwazi ukufunda ukubona izinto ezintsha ngaphandle kokuthi uphinde uhlelwe, okwenza kube lula kakhulu ezinhlelweni eziguquguqukayo njengokuthengisa noma ukunakekelwa kwezempilo.
Isiphetho: Kumayelana nokufana, hhayi ukuba ngcono
Engxabanweni ephathelene nombono wekhamera ye-2D noma ye-3D ku-robotics, akukho sixazululo esisodwa esisebenza konke. Umbono we-2D ulungele imisebenzi elula, ehlelekile lapho izindleko nokulula kubaluleke kakhulu, kanti umbono we-3D ubalulekile emisebenzini eyinkimbinkimbi, engahlelekile edinga ukuqonda isikhala. Okubalulekile ukufanisa uhlelo lombono nezidingo ezithile zohlelo lwakho lwe-robotic, ucabangele izinto ezifana nobunzima bomsebenzi, izindleko, imvelo, kanye nezinsiza ezitholakalayo.
Ngokuqonda imininingwane yezobuchwepheshe kanye nokusetshenziswa kwezinto zangempela kokubona okungu-2D no-3D, ungakwazi ukwenza isinqumo esinolwazi esizokwandisa ukusebenza nokonga kwezindleko zesistimu yakho ye-robotic. Noma ngabe ukhetha indlela ye-2D, 3D, noma eyokuhlanganisa, uhlelo olufanele lokubona luzovumela i-robot yakho ukuthi "ibone" umhlaba ngokucacile—futhi yenze imisebenzi yayo ngokunemba nokwethembeka.
Ingabe usebenza kuphrojekthi ye-robotic futhi udinga usizo lokukhetha uhlelo olufanele lokubona? Yabelana ngezidingo zakho kumazwana angezansi, futhi ithimba lethu lochwepheshe lizohlinzeka ngeluleko olwenziwe ngendlela efanele.
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