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Amamojula Wamakhamera Aphansi Kwamandla Wamadivayisi e-IoT: Umguquli Wokubheka Okuhlakaniphile 24/7
Kwadalwa ngo 2025.11.20
The Internet of Things (IoT) ushintshile indlela esixhumana ngayo nezwe langempela—kusuka ezindlini ezihlakaniphile kuya ezikhungweni zezimboni, amadivayisi axhunyiwe akhiqiza idatha esebenziseka kahle ekhuthaza ukusebenza kahle, ukuphepha, kanye nokwakha okusha. Phakathi kwalezi zinsiza, izixazululo ze-IoT ezinezikhamuzi zikhona kakhulu: zenza kube nokwenzeka ukuqapha ngamehlo, ukuqashelwa kwezinto, kanye nemibono yesikhathi sangempela engatholakali kalula kumasensori anemibhalo. Nokho, isithiyo eside sokwamukelwa kwekhamera ye-IoT kube ukusetshenziswa kwamandla. Traditionalamamojula ekhameraukudonsa amabhethri ngokushesha, kudinga ukufakwa njalo noma ukuhlinzeka ngocingo oluqhubekayo—kunciphisa ukusetshenziswa kwabo ezindaweni ezikude, ezinzima, noma ezindaweni ezinkulu.
Ngena kumamojula amakhamera aphansi: izingxenye ezincane, ezisebenza kahle ngokwezimali eziklanyelwe ngqo izithiyo ezihlukile ze-IoT. Lezi zinsiza zishintsha lokho okungenzeka ekubhekeni okuhlangene, zikhulula izimo zokusetshenziswa ezazikade zingasebenzi kahle noma zibiza kakhulu. Kulesi sihloko, sizohlola ukuthi kungani amandla aphansi engashintshiwe kumakhamera e-IoT, ubuchwepheshe obuphambili obwenza lezi zinsiza zibe khona, izinhlelo zangempela ezishintsha imikhakha, izinto ezibalulekile okufanele zicatshangelwe uma ukhetha imojula, kanye nezitayela zesikhathi esizayo eziqhuba ubuchwepheshe obusha.
Kungani Amandla Aphansi Ebalulekile Ekuphumeleleni Kwamakhamera e-IoT
Izinsiza ze-IoT zivame ukufakwa ezimeni lapho amandla engatholakali kalula. Ngokwehlukile kumafoni aphathekayo noma kumalaptop—okuxhunywe njalo noma anebhethri elikhulu—amakhamera e-IoT angabekwa ezindaweni ezikude, ezinsikeni zamandla, noma emshinini wezokukhiqiza, lapho ukufinyelela kumandla kubiza kakhulu noma kungenakwenzeka. Nansi imbangela yokuthi amandla aphansi kuyisici esibalulekile:
1. Ukuphila Kwebhethri Okwandisiwe Kwehlisa Izindleko Zokusebenza
Ngokwezikhamuzi ze-IoT ezisebenza ngogesi, ukushintsha ibhethri njalo kuyisithwathwa sokuphatha nezimali. Imodyuli yekhamera ejwayelekile ingase ihlale izinsuku ezimbalwa kuphela ngokuqhuba okukodwa, kodwa ezinye ezisebenza kancane zingandisa impilo yebhethri ibe yizinyanga eziyi-6, unyaka owodwa, noma ngisho nangaphezulu—kuya ngokuqhuba. Lokhu kwehlisa izindleko zokugcina: cabanga ngepulazi elinamakhamera e-IoT angama-50 alandelela impilo yezitshalo—ukushintsha amabhathri njalo ngenyanga uma kuqhathaniswa nangenyanga yokugcina kuholela ezinkulungwaneni zamadola ekongeni emsebenzini nasemathunjini.
2. Ivumela Ukufakwa Okungaxhunyiwe, Okuguquguqukayo
Ukuxhuma amakhamera e-IoT ku-grid kuvame ukuba kunzima. Imodyuli ezinamandla aphansi zikhulula isidingo samakhebuli kagesi, zivumela amadivayisi ukuba afakwe noma kuphi: ezindaweni zokwakha, ezindaweni zokugcina izilwane, noma ezimotweni zezimoto. Le msebenzi ibalulekile ezimbonini ezifana nezolimo (lapho amapulazi amakhulu futhi akude) kanye nezokuthutha (lapho impahla ihamba ezindaweni ezahlukene).
3. Isekela Ukukhula Kwezinethiwekhi Ezinkulu ze-IoT
Ukufakwa kwe-IoT kwezinkampani—njengamakhaya akhanyayo noma amapaki ezimboni—kungabandakanya amakhanda amaningi noma amajika. Imodyuli ezinamandla aphezulu zizokwenza kube nzima ukuthola amandla futhi zidinga ukwakhiwa kwamandla okuyinkimbinkimbi. Izinketho ezinamandla aphansi zinciphisa umthelela wemvelo futhi zenza kube lula ukukhulisa, njengoba zingaxhomeki emithonjeni yamandla egxile.
4. Ihambisana Nezindinganiso Zokulawula Nezokuphila Kwemvelo
Njengoba ohulumeni nezimboni bephusha ukufinyelela ekusimameni, amadivayisi e-IoT aphansi amandla ahambisana nemithetho yokusebenza kahle kwamandla (isb. Umthetho we-Ecodesign we-EU) kanye nezinhloso zokusimama kwezinkampani. Ngokunciphisa ukusetshenziswa kwamandla, lawa ma-module anciphisa ukukhishwa kwekhabhoni okuhlobene nokukhiqiza nokusebenza kwenethiwekhi ye-IoT.
Ngokwe-IDC, inani lemidlalose ye-IoT emhlabeni jikelele lizofinyelela ku-75.4 billion ngonyaka ka-2025, lapho amadivayisi akhanyayo anamakhamera enza u-15% walokhu kuhlanganiswa. Ukuze le midlalose ihlangabezane nezithembiso zayo, amandla aphansi akusikho kuphela "okuhle ukuba nakho"—kubalulekile.
Itheknoloji Eziyinhloko Ezisebenza Ngamakhanda E-IoT Asebenzisa Amandla Aphansi
Amamojula ekhamera aphansi amandla awawona “amakhamera ajwayelekile anebhethri encane”—akhethiwe kusukela phansi ukuze kube nokusebenza kahle kwamandla, ehlanganisa noveli ezindaweni zokuhlola, ukuphathwa kwamandla, kanye ne-AI. Nansi imikhiqizo eyinhloko eqhuba ukusebenza kwabo:
1. Izithombe Zokuhlola Zesizukulwane Esilandelayo
Isithombe sensori siyisici esisebenzisa amandla kakhulu kumoduli yekhamera. Imoduli ye-IoT esebenzisa amandla amancane isebenzisa ubuchwepheshe besithombe obuphambili ukuze inciphise ukusetshenziswa kwamandla ngaphandle kokuphula ikhwalithi yesithombe:
• Izinsiza ze-Backside-Illuminated (BSI): Ngokwehlukana nezinsiza ezikhanyisiwe phambili (lapho ukuxhumana kuvimba ukukhanya), izinsiza ze-BSI zibeka ama-photodiodes ngemuva kwe-chip, zandisa ubuchwepheshe bokukhanya ngokufika ku-30%. Lokhu kusho ukuthi isensori ingathwebula izithombe ezicacile ezimweni zokukhanya okuphansi ngaphandle kokudinga ama-LED anamandla aphezulu, kunciphisa ukusetshenziswa kwamandla.
• I-Sensors ezi-Stacked CMOS: Lezi zinsiza ziqoqa i-pixel array kanye ne-signal-processing circuitry ezindaweni ezihlukene, zenza kube ngcono kokubili ukutholwa kokukhanya nokucubungula idatha. I-sensors ezihlanganisiwe zisebenzisa u-20–40% kancane amandla kunezinsiza ze-CMOS ezijwayelekile ngenkathi zinikeza isixazululo esiphezulu nezinga le-frame elisheshayo.
• Izimo Zokuhlola Ezine-Resolution Ephansi, Ezinokuthola Okukhulu: Kwezimo zokusebenzisa i-IoT lapho i-HD ephelele ingadingeki (isb., ukutholwa kokunyakaza), ama-sensors angashintsha abe ezimweni zokuhlola ezine-resolution ephansi (isb., i-VGA) ezisebenzisa amandla amancane. Ezinye izigaba zikhona futhi ezinikeza “ukutholwa okuqhutywa yenzeka”—okwenza ukuthi i-sensor ivuleke kuphela uma kukhona ukutholwa kokunyakaza noma into ethile.
2. Ukuphathwa Kwamandla Okuhlakaniphile
Amamojula aphansi amandla awagcini nje ngokuthi "alale" uma engasebenzi - asebenzisa izinqubo ezithuthukisiwe zokuphatha amandla ukuze athuthukise ukusetshenziswa kwamandla kuyo yonke imisebenzi:
• Izimo Zokulala Ezinzulu: Uma ingathathi izithombe, imodyuli iyavala izingxenye ezingabalulekile (isb., umphakathi wezithombe, i-Wi-Fi chip) futhi ingena esimweni sokulala okujulile, ithatha amandla amancane njenge 1–5 microamps (µA).
• Ukuphakanyiswa Kwezehlakalo: Esikhundleni sokuthwebula izithombe ngokuqhubekayo, imodyuli ivuka kuphela uma iphathiswa umphumela wesikhumbuzo (isb., i-PIR motion sensor, acoustic sensor) noma i-algorithm ye-AI. Isibonelo, ikhamera yasekhaya ehlakaniphile ingahlala ikhululekile kuze kube ithola ukuhamba, bese ivula ukuze ithwebule ividiyo.
• Ukuhlanganiswa Kwamandla: Imodyuli eziningi ezinamandla aphansi zisekela ukuhlanganiswa kwamandla (isb. amandla elanga, ukuhuzuka, noma amandla okushisa), okuvumela ukuthi zisebenze ngaphandle kokushintshwa kwamabhethri. Ezinhlelweni ezikude ezifana nokubhekwa kwemigudu, amakhamera aphansi anikwe amandla elanga angasebenza 24/7 ngaphandle kokunakekelwa.
3. Edge AI yokucubungula Idatha Ngokuphumelelayo
Ukukhuphuka kwefu kudinga ukudluliswa kwamafayela amakhulu wezithombe ku-inthanethi—kudla amandla amaningi ukuze kuqinisekiswe uxhumano lwe-Wi-Fi/Bluetooth. Imodyuli ye-IoT enamandla aphansi ihlanganisa i-AI ye-edge ukuze icubungule idatha endaweni, inciphisa isidingo sokuxhumeka okuqhubekayo:
• Ukukhomba Izinto Ku-Device: Ama-algorithms e-AI (isb., i-TensorFlow Lite, i-TinyML) asebenza ngqo kumikrocontroller ye-module, ekhomba izinto (isb., abantu, izimoto, izilwane) ngaphandle kokuthumela izithombe ezingaqondile efini. Lokhu kunciphisa ukudluliswa kwedatha, okungaba neqhaza elingu-50% ekusetshenzisweni kwamandla kwe-module.
• Ukutholwa Kwezinselele: I-Edge AI ingakwazi ukukhomba amaphethini angajwayelekile (isb., ingxenye yomshini ephukile, umuntu ongekho emthethweni endaweni evinjelwe) futhi ithumele kuphela izaziso noma ividiyo efanele efwini, inciphisa kakhulu ukusetshenziswa kwamandla.
• Ukuthuthukiswa Kwamamodeli: Amamodeli e-AI wemodyuli ezisebenza ngamandla aphansi "ahlanzwa" ukuze kususwe ikhodi engadingekile, okwenza kube ncane futhi kube fast ukuhamba. Isibonelo, imodeli elula ye-YOLO (You Only Look Once) ingakwazi ukuthola izinto nge-90% yokunembile ngenkathi isebenzisa amandla angama-70% ancishisiwe uma kuqhathaniswa nenguqulo ephelele.
Izicelo Zangempela: Indlela Amakhamera e-IoT Amandla Aphansi Ashintsha Imikhakha
Amamojula wekhamera aphansi amandla awasasebenzi nje kuphela njengesisombululo esingokwakhiwo—sevele ashintsha imboni ngokuvumela izimo zokusetshenziswa ezazingenakwenzeka ngaphambili. Nansi imikhakha emine ezuza kulokhu kuqamba:
1. Ezolimo: Ukulima Ngokunembile Ukuze Kutholakale Imiphumela Ephakeme
Abalimi badinga ukuqonda ngesikhathi sangempela ngesimo sezitshalo, ukuhlaselwa yizilokazane, kanye nezimo zomhlabathi—kodwa amakhamera ajwayelekile awasebenzi kahle emapulazini amakhulu. Amakhamera e-IoT aphansi amandla axazulula lokhu ngokuthi:
• Ukuba nezinhlaka ezibanzi ngaphandle kokuxhunywa noma ukushintshwa kwemabhethri njalo (amanye amamodeli anamandla elanga aphila ngaphezulu kweminyaka engu-5).
• Ukuthwebula izithombe zezitshalo ngezikhathi ezithile (isb., nsuku zonke) ukuze kulandelwe ukukhula nokutholwa kwezinkinga ezifana ne-blight noma umswakama.
• Ukusebenzisa i-edge AI ukuze kutholakale izilokazane noma izitshalo eziphikisanayo, kuvumela abalimi ukuthi bagxile ekwelapheni esikhundleni sokuphonsa imithi emapulazini wonke.
Isifundo: I-vineyard eCalifornia ifake amakhamera angu-100 we-IoT aphansi amandla anokuhlanganiswa kwelanga. Amakhamera athwebula izithombe ze-graffiti kabili ngosuku, esebenzisa i-edge AI ukuthola i-powdery mildew. I-vineyard yehlise ukusetshenziswa kwe-pesticide ngo-40% futhi yanda umkhiqizo ngo-15%—konke lokhu kwenzeka ngaphandle kokuchitha izindleko zokushintsha ibhethri.
2. Izindlu Ezihlakaniphile & Ukuvikeleka: Ukuhlola Okuphumelelayo, Okungaphazamisi
Izithombe zokuphepha ze-smart home zingezinye zezinto ezidumile ze-IoT - kodwa abasebenzisi bayazonda ukushintsha ibhethri kaningi. Imodyuli ezisebenza ngamandla aphansi zixazulula lokhu ngokuthi:
• Ukunikeza impilo yebhethri engu-1–2 iminyaka ngekhadi elilodwa (isb., Ikhamera ye-Arlo Ultra 2 isebenzisa imodyuli enezinga eliphansi lamandla enebhethri elingama-6 months ekusebenzeni okujwayelekile).
• Ukusekela “ukurekhoda kuphela ukuhamba”, ukuvusa kuphela uma kutholakala ukuhamba ukuze kugcinwe amandla.
• Ukuhlanganisa nezinhlelo zokuhlala ezihlakaniphile (isb. Alexa, Google Home) ukuze kuqale izaziso ngaphandle kokuxhumana njalo nefu.
Kubanikazi bezindlu noma abaqashi abangakwazi ukuhlinza izikhala ukuze bafake amakhamera anokuxhumana, amamodeli angama-wireless aphansi amandla ahlinzeka ngenkululeko ngaphandle kokuphuca ukuphepha.
3. Industrial IoT (IIoT): Ukugcinwa Okubikezelayo & Ukuphepha
Izikhungo zezimboni zixhomeke ekuqapheleni imishini, amapayipi, kanye nabasebenzi—kodwa izimo ezinzima (isb., izinga lokushisa eliphezulu, ama-rig akude) zenze amakhamera ajwayelekile angasebenzi. Amakhamera e-IoT aphansi amandla:
• Bamba izimo ezinzima (isb. -40°C kuya ku-85°C) ngenkathi kudliwa amandla amancane.
• Bheka imishini ukuze uthole izimpawu zokugqoka (isb., uthuli, izingxenye ezikhululekile) usebenzisa i-edge AI, okuvumela ukugcinwa kokubikezela okunciphisa isikhathi sokungasebenzi.
• Qinisekisa ukuphepha kwabasebenzi ngokuthola ukufinyelela okungagunyaziwe ezindaweni eziyingozi noma ukungahambisani nezinsiza zokuphepha (isb., amakhanda aqinile).
Isifundo: Iphakheji lokukhiqiza laseYurophu lafaka amakhamera angama-50 aphansi amandla emigqeni yokuhlanganisa. Amakhamera asebenzisa i-edge AI ukuthola ama-bolts aphukile noma izingxenye ezingahambisani, athumele izaziso kumathimba okugcina ngaphambi kokuthi imishini yehluleke. Iphakheji yehlise isikhathi sokungasebenzi okungahlelwanga ngo-30% futhi yagcina u-€200,000 ngonyaka ezindlekweni zokulungisa.
4. Impilo: Ukugqoka & Ukuhlola Abaguli Ngaphandle
Izinsiza ze-IoT ezigqokekayo (isb. , izing glasses ezihlakaniphile zabodokotela, izinhlelo zokubheka abaguli) zidinga amamojula wekhamera amancane, alula, futhi aphansi amandla. Amamojula aphansi amandla avumela:
• Amakhamera agqokekayo ezokwelapha ukuze abachwepheshe baziqophele izinqubo ngaphandle kokudinga amandla kumadivayisi (isb., i-Google Glass Enterprise Edition isebenzisa imodyuli enegesi ephansi enezinsuku eziyi-8+ zokuphila kwebhethri).
• Ukubhekwa kwezokwelapha okuvulekile: Amakhamera ezikhungo zokuhlala zabantu abadala angakwazi ukuthola ukuwa noma izinguquko ekunyakazeni, athumele izaziso kubagibeli ngaphandle kokudinga ukushajwa njalo.
• Izinsiza zezokwelapha ezincane ezingenza ukungenelela (isb., ama-endoscope) anamakhamera akhiwe ngaphakathi asebenza ngamabhethri amancane, anciphisa ukudabuka komtholampilo kanye nesikhathi sokwenza izinqubo.
Izinto Eziyinhloko Okufanele Ucabangele Uma Ukhetha I-Low-Power IoT Camera Module
Ayikho yonke imodyuli yekhamera enamandla aphansi eyenziwe ngokufanayo. Uma ukhetha imodyuli yephrojekthi yakho ye-IoT, gcina lezi zinto ezibalulekile engqondweni:
1. Izilinganiso Zokusetshenziswa Kwamandla
Bheka ngaphezu kwemibandela yokumaketha ethi “amandla aphansi” - gxila kumamethrikhi athile:
• Umswakama Wokulala: Amandla adliwayo lapho imodyuli ingasebenzi (hlela <10 µA).
• Active Current: Amandla adliwayo lapho kuthathwa khona izithombe noma kukhishwa idatha (bheka <10 mA ukuze usebenzise izimo eziyisisekelo).
• Izilinganiso Zempilo Yebhethri: Cela idatha yezenzakalo zempilo yebhethri yangempela (isb., “izinyanga eziyi-6 ngama-AA amabili anemisebenzi eyishumi ngosuku”) esikhundleni samazinga okucabanga.
2. Ikhwalithi Yesithombe vs. Ibhala Lamandla
Amakhamera e-IoT awadingi isixazululo se-4K ezimweni eziningi zokusetshenziswa—gxila kumamojula ahlanganisa ikhwalithi yesithombe nokusebenza kahle kwamandla:
• Isixazululo: 720p noma 1080p kuyanele ukuze kutholakale ukuhamba, ukuqashelwa kwezinto, nokubhekwa okuyisisekelo.
• Ukusebenza Kwe-Low-Light: I-BSI noma ama-sensors aqoqiwe abalulekile ukuze kutholakale izithombe ezicacile ezindaweni ezimnyama (gwema ama-modules axhomekeke kuma-LED anamandla aphezulu).
• Izinga Lokuhamba: Kwezimo ezisebenza ngemicimbi, amafremu angu-1–5 ngenyanga (fps) anele—ama-fps aphezulu (isb., 30 fps) adla amandla amaningi ngaphandle kwesidingo.
3. Izinketho Zokuxhumana
Khetha imodyuli enoxhumo ehambisana nesimo sokusebenzisa kwakho:
• Low-Power Wireless: I-Bluetooth Low Energy (BLE), i-LoRaWAN, noma i-NB-IoT ilungele ukufakwa kude (zisebenzisa amandla amancane kune-Wi-Fi).
• Wi-Fi: Sebenzisa i-Wi-Fi kuphela uma udinga ukuhamba kwesikhathi sangempela (isb., ukuphepha kwasekhaya okukh聪)—bheka ama-modules ane-Wi-Fi 6 (802.11ax) ukuze uthole ukusebenza kahle kwamandla okungcono.
• Offline Capabilities: Qinisekisa ukuthi imodyuli ingagcina ividiyo endaweni (isb., kukhadi le-SD) uma uxhumano lungaphansi, kunciphisa isidingo sokudlulisela idatha njalo.
4. Ukuhambisana & Ukuhlanganiswa
Umsebenzi kufanele uhlanganiswe kahle ne-ecosystem yakho ye-IoT:
• Ukusekela i-Microcontroller: Qinisekisa ukuhambisana nezithuthukisi ezidumile ze-IoT (isb., ESP32, Raspberry Pi Pico, Arduino).
• Izinhlelo ze-API: Bheka ama-modules anama-API abhalwe kahle ukuze uhlanganise amamodeli e-AI edge noma uxhumane nezinkundla ze-IoT (isb., AWS IoT Core, Azure IoT Hub).
• Uhlobo Lwefomu: Imodyuli ezincane, ezilula zibalulekile kuma-wearables noma kumadivayisi amancane e-IoT (hlela <10mm x 10mm x 5mm).
5. Ukuhlala Kwendalo
Ngokwezimo zokusebenzisa ezisemkhathini noma ezimbonini, imodyuli kumele ikwazi ukumelana nezimo eziyingozi:
• Izinga Lokusebenza: Bheka ama-modules anemigomo ye -40°C kuya ku-85°C ezindaweni ezinzima.
• Ukuphuma Kwamanzi: Izinga le-IP67 noma le-IP68 lokuvikela uthuli namanzi.
• Ukumelana Nokushayisana Nokuhudula: I-MIL-STD-810G ukuqinisekiswa kokusebenza kwezimboni noma kokuhamba.
Izitayela Zesikhathi Esizayo: Yini Elandelayo Kuma-Module Wamakhamera e-IoT Aphansi Amandla
Imakethe ye-IoT yekhamera enamandla aphansi ikhula ngokushesha—ngonyaka ka-2028, kulindeleke ukuthi ifinyelele ku-$18.7 billion (Grand View Research)—futhi ubuchwepheshe abubonisi izimpawu zokumisa. Nansi imikhuba ebalulekile okufanele uyibheke:
1. Ngaphezu Kwezinzwa Eziphumelelayo
Izinsiza ezizayo zizokwenza ukuthi ukusetshenziswa kwamandla kube phansi kakhulu. Isibonelo, izinsiza ze-quantum dot (ezikhona njengamanje zikhuliswa) zinikeza ukuvuleka kokukhanya okuphakeme kakhulu okungama-10x kunezinsiza ze-BSI, okuvumela izithombe ezicacile emnyama cishe ngaphandle kokusebenzisa amandla engeziwe. Lezi zinsiza zinganciphisa umjikelezo osebenzayo ube <5 mA, zandise impilo yebhethri ibe yizinyanga ezi-2+.
2. Ukuhlela Amandla Okusebenza Ngobuchwepheshe be-AI
AI ngeke iphathise idatha kuphela—izokwenza ngcono ukusetshenziswa kwamandla ngesikhathi sangempela. Imodyuli zesikhathi esizayo zizosebenzisa ukufunda kwemishini ukuze zishintshe kumaphethini okusetshenziswa: isibonelo, ikhamera ehhovisi ingafunda ukuthi imisebenzi ifinyelela phezulu ngo-9 AM nango-5 PM, ilungiselela uhlelo lwayo lokuvuka ukuze igcine amandla phakathi nezikhathi zokuthula.
3. Imodyuli Ezinamandla Zayo
Ukutholwa kwamandla kuzoba yinto evamile. Amashaneli elanga azoba mancane futhi asebenze kahle (isb., amaseli elanga aguquguqukayo ahlanganiswe nekhava yekhamera), futhi ubuchwepheshe obusha bokuthola (isb., amandla e-radio frequency (RF) avela ezindlini zocingo) kuzovumela ama-modules ukuthi asebenze ezindaweni zangaphakathi noma ezimeni zokukhanya okuphansi ngaphandle kwamabhethri.
4. Ukujwayeleka kokuhlanganyela
Okwamanje, amamojula aphansi wamandla asebenzisa inhlanganisela yezinqubo ezikhethekile, okwenza kube nzima ukuhlanganisa. Izigaba zezimboni ezifana ne-IoT Consortium zisebenza ekwenzeni izinqubo zokuphatha amandla nokuxhumana zibe ziqondile, kuvumela amamojula avela kubakhiqizi abahlukene ukuthi asebenze kahle ndawonye. Lokhu kuzokwehlisa isikhathi sokuthuthukisa nezindleko zephrojekthi ze-IoT.
5. Ukunciphisa Usayizi kweZinto Ezithwalwayo & Izinto Ezifakwe ngaphakathi
Njengoba ama-sensors nama-processors ehla, ama-modules aphansi kwamandla azoba mancane ngokwanele ukuze abe nezinsiza zokwelapha ezingeniswe (isb., amakhamera amancane okuhlola izingxenye zomzimba) noma ama-wearables aphansi kakhulu (isb., izingubo ezihlakaniphile ezinezakhamuzi ezakhelwe ngaphakathi). Lezi zinsiza zizokwenza amandla amancane, zisebenza ngoshukela womzimba noma amandla okunyakaza.
Isiphetho: Amandla Aphansi = Amandla Avuliwe Wokusebenzisa Amakhamera e-IoT
Amamojula ekhamera aphansi amandla awawona nje umkhiqizo wezobuchwepheshe—ngoba ayisona isihluthulelo sokuvula amandla aphelele e-IoT ekubhekeni okubonwayo. Ngokukhipha imikhawulo yokusetshenziswa kwamandla aphezulu, lawa mamojula avumela ukufakwa ezindaweni ezikude, anciphisa izindleko zokusebenza, futhi asekele amanethiwekhi e-IoT akwazi ukwandiswa, aqhubekayo.
Noma ngabe wakhe ikhamera yokuphepha yasekhaya ehlakaniphile, isixazululo sokulima esinembile, noma uhlelo lokubheka lwezimboni, ukukhetha imodyuli enegesi ephansi efanele kubalulekile. Gxila ekusebenzeni kahle kwamandla, ibhalansi yekhwalithi yesithombe, ukuxhumana, nokuhlala isikhathi eside—futhi ubheke izitayela ezivela njengama-sensors e-quantum dot kanye nokuphuculwa kwamandla okwenziwa nge-AI.
Njengoba i-IoT iqhubeka nokwandisa kuyo yonke imboni, amamojula amakhamera aphansi amandla azobe esesikhathini sokwakha, aguqula izimo zokusetshenziswa "ezingekho" zibe yiqiniso. Ikusasa lokubheka okuhlangene kwezimboni lisezingeni eliphansi—futhi selivele likhona.
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