Emhlabeni lapho imishini ilindeleke ukuba “ibone” futhi ixhumane nezindawo zayo njengabantu, izinhlelo ze-3D vision ezisekelwa ngamamojula we-stereo camera zivele njengezobuchwepheshe eziyisisekelo. Ngokwehlukana nemifanekiso ye-2D ejwayelekile, ethatha kuphela izithombe ezivulekile zomhlaba, i-3D vision esekelwe kumakhamera e-stereo ikopisha ukubona kwabantu okwenziwa ngamehlo amabili ukuze ibale ukujula, ibanga, kanye nobudlelwano bendawo. Le msebenzi ivumela ukuphumelela ekushayeleni okuzenzakalelayo, ukuzenzakalela kwezimboni, ubuchwepheshe bezinhlaka, nokunye.
Njengoba imakethe yomhlaba ye-stereo vision cameras iqhubeka nokukhula (imakethe yaseShayina kuphela ikhula ukusuka ku-¥1.8 billion ngo-2021 iye ku-¥4.6 billion ngo-2025, i-CAGR engu-26.3%), kubonakala ukuthi lezi zinhlelo azisasebenzi njengezinto ezincane ezithuthukisiwe kodwa zibe yisisombululo esijwayelekile sokubona kwemishini. Kulolu bhulogi, sizohlola ukuthi kanjaniizigaba ze-stereo camerasebenza, izinhlelo zabo eziphumelelayo kakhulu ngo-2025, izinselelo zobuchwepheshe abazinqobayo, nokuthi ikusasa linjani kulolu chwepheshe oluguqulayo. Indlela AmaStereo Camera Modules Ashayela Ngendlela Ye-3D Vision Systems
Ekuqaleni, imagic ye-stereo camera module itholakala ku-binocular stereopsis—umgomo ofanayo ovumela amehlo abantu ukuba abone ukujula. Uhlelo olujwayelekile luhlanganisa amakhamera amabili e-RGB ahlelwe ngesikhathi esifanayo, abekwe endaweni ethile (ebizwa ngokuthi i-baseline) kanye neyodwa yokucubungula. Le ndawo icubungula umehluko omncane, noma i-disparity, phakathi kwezithombe ezithathwe ngamakhamera ngamunye.
Ngokubala le ndawo ehlukile nokusebenzisa i-triangulation geometry, uhlelo lwenza imephu ye-3D depth enembile yalesi sithombe, iveza indawo ethile nokukhalipha kwazo zonke izinto ezibukwayo.
Okukhanga amamojula wesithombe se-stereo samanje kukhulu ukuhlanganiswa kwesoftware ethuthukisiwe ye-AI kanye nezinsiza zokuqhuba ezithuthukile. Isibonelo, i-Hawk 3D Depth Camera ye-Leopard Imaging—eyakhiwe ngokubambisana ne-NVIDIA—ine-120° yokubuka emhlabeni, ama-sensors amabili e-1080p, kanye nokuthwebula ividiyo ye-120 fps. Lokhu kuyenza ifaneleka kakhulu ezinhlelweni ze-robotics ezisheshayo nezicelo ze-edge AI.
Ngakolweni kwe-algorithmic, imodeli yokufunda ejulile efana ne-PSMNet (Pyramid Stereo Matching Network) ne-GC-Net (Global Context Network) ibuyisele emuva ukuhlela kwe-stereo. Le nqubo ebalulekile ihlanganisa ama-pixel afanele ezithombeni zesobunxele nasemva. Lezi zimo zehlisa amaphutha wokulinganisa ubukhulu zaba ngu-1.2 pixels kuphela (ukuthuthukiswa kwe-40% kusukela ngo-2020) futhi ziphatha izimo ezinzima ezifana nezindawo ezinganqamuki (isb. odongeni abamhlophe) noma ukuvinjelwa ngokuqonda okukhulu kakhulu kunezindlela zendabuko ezifana ne-SGBM (Semi-Global Block Matching).
Ngokwehlukile kumateknoloji wokuhlola ubukhulu okusebenzayo njenge-LiDAR noma i-ToF (Time of Flight), amamojula we-stereo camera ayizinhlelo eziphumayo. Asebenzisa ukukhanya kwemvelo esikhundleni sokukhanyisa izimpawu, okwenza kube nezindleko eziphansi, kusebenze kahle amandla, futhi kuqine ekuphazanyisweni ukukhanya kwelanga. Le mklamo ophumayo uyinzuzo ebalulekile ezinhlelweni zangaphandle ezifana nokuhamba okuzenzakalelayo kanye nokuhlela kwezindiza, lapho ama-sensor asebenzayo angaphazamiseka ukukhanya okukhanyayo noma abhekane nokuphazamiseka kwezimpawu.
Izinhlelo Ezintsha Zokusebenzisa Ikhamera Ye-Stereo Ebasekwe Ku-3D Vision Ngomnyaka Ka-2025
Ubuchwepheshe be-stereo camera modules buholele ekwamukelweni kwabo ezimbonini, kanti ngo-2025 sizobona izimo eziphawulekayo zokusetshenziswa ezishaya imikhawulo yokubona kwemishini. Nansi eminye yemisebenzi ethinta kakhulu ezishintsha izigaba emhlabeni jikelele:
Ukushayela Okuzimele & ADAS: Ukuphepha Ngaphezu Kwezinsiza
Izinhlelo zokubona ze-stereo manje seziyisisekelo kuhlelo Lokwesekwa Kwabashayeli Oluphambili (ADAS), zengeza i-LiDAR ne-radar ukuhlinzeka ngokuqonda okuqinile kwemvelo. I-Tesla, i-BYD, kanye ne-Baidu zonke zifaka imodyuli yekhamera ye-stereo ezinkundleni zabo zokushayela ezizimele. Lezi zikhala ziqaphela abantu, zilinganisa ubude bezimoto, futhi zenza ukuhamba okuphuthumayo—okubalulekile ku-3+ autonomy.
Okushaqile ngo-2025 ukuhlanganiswa kokubona kwe-stereo nama-chips e-edge AI afana ne-Horizon Robotics' Journey series. Lezi zikhala zisebenza idatha yokujula ngesikhathi sangempela (ngaphansi kwemizuzwana engu-20 yokulibaziseka) ukuze kusekelwe ukuhamba ngezindlela ezisheshayo nasezindaweni zasemadolobheni. Ngokwezibalo zezimboni, ukubona kwe-stereo kubamba u-29% wemakethe ye-3D sensing yezimoto. Le ngxenye ilindeleke ukuthi ikhule njengoba abakhiqizi bezimoto befuna izinketho ezishibhile ezikhundleni zama-sensors e-LiDAR abiza kakhulu.
Ishishini Lokwenza Ngemishini: Ukunemba NgeSikali
Ekukhiqizeni, ama-moduli we-stereo camera aguqula ukulawulwa kwekhwalithi kanye nokuhlanganiswa kwe-robotic. Isibonelo, amafektri ezimoto asebenzisa lezi zinhlelo ukuhlola ama-welds nokukala usayizi wezinto ngokuqina kwe-±2 mm endaweni eyodwa yemitha. Lokhu kuhambisana nezindinganiso eziqinile ezibekwe umthetho we-GB/T43891-2024 waseShayina.
Ekuveliseni kwe-electronics, bathola ama-micro-defects kumabhodi we-circuit futhi baqinisekisa ukufakwa kahle kwezingxenye ze-chip ngesikhathi sokuhlanganiswa. Ama-robot wezokuthutha, afana ne-AGVs (Automated Guided Vehicles) ezitolo, athembele ekuboniseni okuphindwe kabili ukuze ahambe ezindaweni ezixekethile, athathe izimpahla, futhi agweme ukuhlangana. Lokhu kukhuphula ukusebenza kahle ngaphezu kwama-40% uma kuqhathaniswa nezinhlelo zokubona ze-2D.
Robotics: Ukuzimela Ezindaweni Ezinzima
Kusukela kumadroni okulethwa kuya kumarobhothi okusebenza, amamojula we-stereo camera avumela amarobhothi ukuba axhumane nezwe ngendlela ethokozisayo. I-DJI ne-UBTECH Robotics zihlanganisa ukubona kwe-stereo kumarobhothi abo abantu nabamabhizinisi. Lokhu kubavumela ukuba babambe izinto ezinemibono ehlukene nezilinganiso futhi bahambe ezindaweni ezingahlelwanga njengezindawo zokwakha noma izibhedlela.
Ezempilo, ama-robot okuhlinzwa angaphansi kokuphazamiseka asebenzisa amakhamera e-stereo anokucaciswa okuphezulu ukuze akhe imodeli ye-3D yezinhlaka. Lokhu kusiza odokotela ukuba benze izinqubo ezinemininingwane ngokunciphisa ubungozi kumalungelo. Ngisho nama-robot okuthenga, afana nama-vacuum akhanyayo, manje asebenzisa ama-moduli e-stereo aphathekayo ukuze ahlaziye izindlu futhi agweme izithiyo ngokuqonda okukhulu kunezizinda ze-ultrasonic kuphela.
VR/AR & Metaverse: Iziqubu Ezinomthelela
Imboni ye-metaverse kanye nezimboni ze-extended reality (XR) zisebenzisa amamojula we-stereo camera ukuze zixhumanise umgapho phakathi kwemvelo ye-virtual kanye ne-physical. Ngo-2025, ama-headset e-AR afana ne-Meta's Quest 4 asebenzisa ukubona kwe-stereo ukuze ahlole izindawo zangempela. Ahlobisa izinto ze-virtual ngokuqonda kweqiniso kokujula—ngakho itafula ledijithali, ngokwesibonelo, libonakala likhulu phezu kwendawo yangempela kunokuthi lilotshwe phezulu kwayo.
Izinhlelo zokudlala ze-VR zisebenzisa namakhamera e-stereo ukuze zilandele ukuhamba kwezandla kanye nesikhundla somzimba, zakha ukuxhumana okunomthelela okungcono ngaphandle kwesidingo sezinsiza zangaphandle. Le nqanaba yokungena ibangela ukuthandwa kokubona kwe-stereo ku-XR. Imakethe yamakhanda anokubona kwe-stereo ilindeleke ukuthi ikhule ngo-35% ngonyaka kuze kube ngu-2030.
Ukudlula Izinselelo Eziyinhloko KuTekhnoloji YeStereo Vision
Ngenkathi ama-modules we-stereo camera enza amathuba amakhulu, abhekana nezinselelo eziqhubekayo ezinjengokuthi onjiniyela baqhubeke nokubhekana nazo ngezixazululo ezintsha:
Izimo Zokukhanya Okuphansi Nezinto Ezingenalutho
Ukuthembela kwe-stereo vision ekukhanyeni kwemvelo kusho ukuthi kubhekana nezinkinga ezindaweni ezimnyama noma ngezindawo ezinganqamuki (isb. iglasi, odongeni abanjengokhuni). Ukuze kulungiswe lokhu, amamojula athuthukile ka-2025 ahlanganisa ama-sensors e-HDR (High Dynamic Range) kanye nezinhlelo zokuthuthukisa ukukhanya okuphansi. Ngasikhathi sinye, amamodeli okufunda ajulile afana ne-RAFT-Stereo agcwalisa idatha yokujula ephuthelwe ngokubhekisela kulwazi olukhona kumaphikseli azungezile.
Abanye abakhiqizi baphinde bahlanganise ukubona kwe-stereo nezinsiza ze-infrared eziphumayo (PIR) ukuze bathuthukise ukusebenza ezimeni zokukhanya okuphansi. Lokhu kudala izinhlelo ezihlanganisiwe ezigcina izinzuzo zokuhlola okuphumayo.
Ukulungiswa kanye Nokuncishiswa
Ukuze amakhamera e-stereo asebenze kahle, ama-lenses amabili kumele ahlale efanelekile. Lokhu kuba inselelo uma kuncishiswa imodyuli ze-smartphones noma izinto zokugqoka. Izindlela ezintsha zokukhiqiza, ezifana nokuphrinta kwe-3D enembile kwemishayo yekhamera, ziqinisekisa ukuhlela okungaphansi kwemilimitha. Ama-algorithms okuzilungisa atholakala kudivayisi alungisa ukuhamba okubangelwa ukushintsha kokushisa noma ukuhuzuka komzimba.
Izinkampani ezifana ne-Oppo ne-Xiaomi manje zihlola ama-modules e-stereo aphansi kakhulu ukuze zisebenzise kumafoni esikhathini esizayo. Lezi zinhlelo zenza kube nokuhlolwa kobuso kwe-3D kanye nokuhamba kwe-AR ngaphandle kwezinsiza ezinkulu.
Ukucubungula Ngalesi sikhathi
Amamephu aphakeme kakhulu adinga amandla amakhulu okucubungula, okwakuyisithiyo kumadivayisi aseceleni. Namuhla, nokho, ama-chips e-AI afana ne-Huawei's Ascend kanye ne-Cambricon's MLU processing data ye-stereo vision endaweni. Lokhu kunciphisa isikhathi sokuphendula futhi kususa isidingo sokuxhumana nefu. Ngonyaka ka-2025, ngaphezu kuka-34% wamadivayisi e-stereo vision e-China asebenzisa ama-chips e-AI asekhaya—okukhombisa intuthuko emandleni okucubungula aseceleni.
Imakethe Ijolise Nezikhathi Zesikhathi Esizayo Zamamojula E-Stereo Camera
Imakethe ye-stereo vision camera yomhlaba ibheke phambili ukudlula u-¥15 billion ngonyaka ka-2030, ihanjiswa ukufunwa okuvela ku-automation yezimboni, ezimoto, kanye nezinto zokusetshenziswa. Izinqubomgomo ezithile zizokwakha ukuthuthuka kwale teknoloji eminyakeni ezayo:
1. Ukuhlanganiswa Kwezinsiza Eziningi: Ukubona kwe-stereo kuzohlanganiswa ngokwengeziwe ne-LiDAR, i-radar, kanye ne-ToF ukuze kudalwe izinhlelo zokuhlanganiswa kwezinsiza. Lezi zinhlelo zisebenzisa amandla obuchwepheshe ngamunye. Isibonelo, izimoto ezizimele zisebenzisa ukubona kwe-stereo ukuze zihlukanise izinto futhi zisebenzisa i-LiDAR ukuze zilinganise ibanga elide, okuholela ekutheni kube nokwaziswa okuthembekile.
2. Miniaturization and Cost Reduction: Njengoba ukukhiqiza kukhula, amamojula we-stereo camera azoba mancane futhi aphumelelayo. Lokhu kuvula izinhlelo zokusebenza ezindaweni zokugqoka, ama-drone, kanye nezinsiza ze-IoT. Ngonyaka ka-2027, kulindeleke ukuthi amamojula e-stereo akhwalithi yomthengi azobiza ngaphansi kuka-50, ehla kusuka ku-150 ngo-2020.
3. Ukuthuthukiswa Okushayelwa yi-AI: I-AI yokwakha izokwenza indima enkulu ekuthuthukiseni ama-algorithms wokuhambisana kwe-stereo. Iphumela lokuhambisana kwesikhathi sangempela nezimo ezahlukene (isb., imvula, umoya, noma iqhwa). Amalabhorethri ocwaningo afana ne-Tsinghua University asevele athuthukisa amamodeli wokuhambisana kwe-stereo asekelwe ekunakekeleni okugxile ezintweni ezibalulekile zesigcawu, okwandisa ukunemba.
4. Ukulawulwa Kwezindinganiso: Ohulumeni nezikhungo zezimboni ziqinisekisa izindinganiso zomhlaba jikelele zokusebenza kokubona kwe-stereo. Isibonelo, i-GB/T43891-2024 yaseShayina ibeka izinga lokunemba kokujula nokuphindaphinda. Lezi zindinganiso zizokhuthaza ukuhambisana nokwethembeka kule teknoloji ezimbonini.
Isiphetho
Izinhlelo ze-3D zokubona ezisebenzisa amamojula we-stereo camera ziye zathuthuka kakhulu zisuka ezinsukwini zazo zokuqala njengokuthakazelisa kwelabhorethri. Namuhla, ziwumgogodla wokubona kwemishini, zenza kube nokwenzeka izinguquko ekushayeleni okuzenzakalelayo, emishini yokusebenza, nase-XR okwakungokwenkanyezi yesayensi.
Ngezinqubomgomo ezithuthukisiwe ze-AI, ukunciphisa, kanye nokuhlanganiswa kwezinsiza, amamojula we-stereo camera azophinde ahlaziye indlela imishini ebona futhi ixhumana ngayo nezwe. Lokhu kwenza kube ubuchwepheshe obungabalulekile eminyakeni eyishumi ezayo nangaphezulu.
Noma ungumkhandi ophuhlisa inguqulo elandelayo yamajoni, umkhiqizi wezimoto ophuhlisa izimoto ezizimele eziphephile, noma umthuthukisi odala okuhlangenwe nakho kwe-XR okujabulisayo, ukubona kwe-stereo kunikeza isixazululo esisebenziseka kalula, esishibhile sokubona kwe-3D. Njengoba imakethe ikhula futhi ubuchwepheshe buhamba phambili, amathuba akhawulelwe kuphela yizifiso zethu.