UMHLAHLANDLELA WOKUSEBENZA

I-AI ku-Wildlife Conservation Monitoring

I-AI isiza ososayensi ukubala, balandelele, futhi bavikele izilwane zasendle ngokuzihlaziya ngokuzenzakalela izithombe, imisindo, nedatha yezinzwa ngezinga abantu abangeke bakwazi.

Uhlolojikelele

I-AI isiza ososayensi ukubala, balandelele, futhi bavikele izilwane zasendle ngokuzihlaziya ngokuzenzakalela izithombe, imisindo, nedatha yezinzwa ngezinga abantu abangeke bakwazi. Iguqula izintaba zezithombe zekhamera-umgibe kanye nokurekhodwa kwe-acoustic kube izinqumo zokonga ezisebenzayo.

I-AI ku-Wildlife Conservation Monitoring igxile ekusetshenzisweni okungokoqobo: ukuguqula ikhono lemodeli libe ukuhamba komsebenzi okuthembekile kwansuku zonke okuletha inani elilinganisekayo.

I-Deep Dive

Abalondolozi bemvelo bakhipha izinkulungwane zamakhamera acushwa ukunyakaza, imibhobho, namakholomu e-GPS akhiqiza ukwaziswa okwengeziwe kunalokho abantu abangakubukeza. I-AI ishintsha izibalo. Amamodeli abona ngekhompyutha athwebula izithombe zekhamera ukuze athole futhi akhombe izinhlobo zezilwane, abale abantu ngabanye, futhi abone izilwane ezithile ngemigqa noma amaphethini amabala. Amamodeli e-Bioacoustic alalela okurekhodiwe kwehlathi nolwandle ukuze kuhlabe umkhosi izingoma zezinyoni, ukukhala kwemikhomo, noma amasaha nokudubula kwezibhamu okubonisa ukuzingela ngokungemthetho. Amamodeli ezithombe zesathelayithi abonisa ukugawulwa kwamahlathi kanye nokulahlekelwa indawo yokuhlala cishe ngesikhathi sangempela. Amaphrojekthi afana ne-Wildlife Insights, i-Zamba, kanye ne-Rainforest Connection acubungula izigidi zamafayela, akhulule abaqaphi kanye nongoti bebhayoloji ukuze bagxile ekuphenduleni esikhundleni sokuhlunga nokumaka okwenziwa ngesandla.

I-Technical Insight

Amasistimu amaningi asebenzisa amanethiwekhi e-convolutional neural noma iziguquli zombono eziqeqeshwe ezithombeni zezilwane zasendle ezilebulwe, ngokuvamile ngokudlulisela ukufunda okuvela kumgogodla omkhulu oqeqeshwe kusengaphambili ukuze asebenze nedatha yezinhlobo ezilinganiselwe. Ngomsindo, umsindo ongahluziwe uguqulwa ube ama-spectrogram—izithombe ezibukwayo zemvamisa-ngaphezu kwesikhathi—bese zihlukaniswa ngamasu okubona afanayo. Ukuphinda kukhonjwe abantu ngabanye kuncike ekufundeni kwemethrikhi, lapho imodeli yenza imephu yezimpawu ezihlukile zesilwane ngasinye endaweni yokushumeka futhi ihambisane nama-vector aseduze kuyo yonke into ebonwayo.

Ukuba ingcweti kwe-AI Ekuqaphelweni Kokongiwa Kwezilwane Zasendle

I-AI isiza ososayensi ukubala, balandelele, futhi bavikele izilwane zasendle ngokuzihlaziya ngokuzenzakalela izithombe, imisindo, nedatha yezinzwa ngezinga abantu abangeke bakwazi. Iguqula izintaba zezithombe zekhamera-umgibe kanye nokurekhodwa kwe-acoustic kube izinqumo zokonga ezisebenzayo. I-AI ku-Wildlife Conservation Monitoring igxile ekusetshenzisweni okungokoqobo: ukuguqula ikhono lemodeli libe ukuhamba komsebenzi okuthembekile kwansuku zonke okuletha inani elilinganisekayo. Ukuze wakhe ukuqonda okujulile, phatha i-AI ku-Wildlife Conservation Monitoring njengemodeli yokusebenza, hhayi isici esisodwa: chaza imiphumela efiselekayo, ucacise ukucabanga, futhi uhlukanise lokho uhlelo olungakwenza ngokwethembeka kulokho okusadinga ukwahlulela kochwepheshe.

Empeleni, amaqembu aqinile asebenzisa i-AI ku-Wildlife Conservation Monitoring agxila emiphumeleni yokuhamba komsebenzi, hhayi amademo angamamodeli, futhi achaza izindawo zokuhlola abantu kusenesikhathi. Babhala imibandela yempumelelo ecacile, ukuhlola okuqhathaniswa nedatha engokoqobo nokugeleza komsebenzi, futhi baphindaphinde ngokusekelwe kumaphethini okuhluleka aqashiwe esikhundleni sokuwina kwebhentshimakhi yesikhathi esisodwa. Yilapho ukuqonda kwethiyori kuguquka kube amandla ahlala njalo kuwo wonke umkhiqizo, inqubomgomo, kanye nokusebenza.

Idizayini yezinga lohlelo lokusebenza inquma ukuthi i-AI iyathuthukisa yini imiphumela yangempela. Ngesikhathi esifanayo, Ukuzenzakalela inqubo ephukile kungakhulisa izinkinga ezikhona. Indlela eqine kakhulu iwukuhlanganisa isivinini sokuhlola nesiyalo sokuphatha: qhuba abashayeli bezindiza, bamba ubufakazi, ushicilele amalogi ezinqumo, futhi ubuyekeze izivikelo ngokuqhubekayo njengoba imodeli yokuziphatha, okulindelwe ngabasebenzisi, kanye nezimfuneko zokulawula zishintsha.

I-Strategic Impact

Idizayini yezinga lohlelo lokusebenza inquma ukuthi i-AI iyathuthukisa yini imiphumela yangempela.

Idizayini yezinga lohlelo lokusebenza inquma ukuthi i-AI iyathuthukisa yini imiphumela yangempela. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

Ukuhlanganiswa okuhle kokuhamba komsebenzi kudala izinzuzo zokukhiqiza abasebenzisi abangazethemba.

Ukuhlanganiswa okuhle kokuhamba komsebenzi kudala izinzuzo zokukhiqiza abasebenzisi abangazethemba. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

Amacala okusetshenziswa ahlelwe kahle anciphisa ukukhathala okushintshile kanye nengozi yokuqaliswa.

Amacala okusetshenziswa ahlelwe kahle anciphisa ukukhathala okushintshile kanye nengozi yokuqaliswa. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

Ikusasa le-AI Ekuqaphelweni Kokongiwa Kwezilwane Zasendle

Lindela amamodeli amancane, awonga amandla asebenza ngokuqondile kumadivayisi asemaphethelweni ensimini, ngakho amakhamera namabhuoy ahlaziya idatha kusayithi futhi adlulise izexwayiso kuphela, konga umkhawulokudonsa nebhethri. Amanethiwekhi esikhathi sangempela amelene nokuzingelwa ngokungemthetho, ukutholwa kokushisa okufakwe ku-drone, kanye nokuhlelwa kwe-acoustic kuzocupha kakhulu ukuthunyelwa komqaphi osheshayo. Amamodeli esisekelo aqeqeshwe kuzo zonke izinhlobo zezilwane nezinzwa kufanele anciphise idatha enelebula edingwa yiphrojekthi ngayinye, kuyilapho izinkundla ezivulekile zenza amamodeli akwazi ukwabelwa ukuze ngisho namancane, amaqembu okulondoloza imvelo angazuza ngemali encane.

Ukuqaliswa Komhlaba Wangempela

I-Wildlife Insights isebenzisa Google i-AI ukuze ihlukanise ngokuzenzakalelayo amakhulu ezigidi ezithombe ezibamba ikhamera, inqamule isikhathi sokubuyekeza isithombe ukusuka emahoreni siye kumasekhondi kubacwaningi.

I-Rainforest Connection iphinda isebenzise ama-smartphones amadala kumadivayisi okulalela anamandla elanga athola imisindo ye-chainsaw kanye neloli kanye nabaqaphi baqaphe ukugawulwa kwemithi okungekho emthethweni ngesikhathi sangempela.

Amamodeli okuthola ucingo lomkhomo askena okurekhodiwe kwe-hydrophone ngaphansi kwamanzi ukuze kutholwe imikhomo esengozini yokushabalala yaseNorth Atlantic futhi aqondise kabusha imikhumbi ukuze kuvinjelwe ukushayisana okubulalayo.

Amathuluzi okuqaphela iphethini ye-stripe- kanye nebala (njengalawo asetshenziselwa amadube, amahlosi, noshaka be-whale) ahlonza isilwane ngasinye kuzo zonke izithombe ukuze ulinganise amasayizi abantu.

Amaphethini Okusebenzisa

I-AI ku-Wildlife Conservation Monitoring isebenza

I-Wildlife Insights isebenzisa Google i-AI ukuze ihlukanise ngokuzenzakalelayo amakhulu ezigidi ezithombe ezibamba ikhamera, inqamule isikhathi sokubuyekeza isithombe ukusuka emahoreni siye kumasekhondi kubacwaningi.

I-Wildlife Insights isebenzisa Google i-AI ukuze ihlukanise ngokuzenzakalela amakhulu ezigidi ezithombe ezibamba ikhamera, inqamule isikhathi sokubuyekezwa kwesithombe ukusuka emahoreni kuye kumasekhondi kubacwaningi Amathimba ngokuvamile athola imiphumela engcono kakhulu lapho echaza izinga eliphezulu ngaphambili, agcine indlela yokukhuphuka komuntu ezimweni ezibucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zephutha ngokuhamba kwesikhathi.

I-AI ku-Wildlife Conservation Monitoring isebenza

I-Rainforest Connection iphinda isebenzise ama-smartphones amadala kumadivayisi okulalela anamandla elanga athola imisindo ye-chainsaw kanye neloli kanye nabaqaphi baqaphe ukugawulwa kwemithi okungekho emthethweni ngesikhathi sangempela.

I-Rainforest Connection ibuyisela kabusha ama-smartphones amadala abe amadivaysi okulalela asebenzisa amandla elanga athola imisindo ye-chainsaw neloli futhi aqaphe abaqaphi ngokugawulwa kwemithi ngokungemthetho ngesikhathi sangempela Amaqembu ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, agcine indlela yokukhuphuka komuntu ngamacala asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-AI ku-Wildlife Conservation Monitoring isebenza

Amamodeli okuthola ucingo lomkhomo askena okurekhodiwe kwe-hydrophone ngaphansi kwamanzi ukuze kutholwe imikhomo esengozini yokushabalala yaseNorth Atlantic futhi aqondise kabusha imikhumbi ukuze kuvinjelwe ukushayisana okubulalayo.

Amamodeli okuthola ucingo lomkhomo askena okurekhodiwe kwe-hydrophone engaphansi kwamanzi ukuze kutholwe imikhomo esengozini yokushabalala yaseNyakatho ye-Atlantic futhi aqondise kabusha imikhumbi ukuze kuvinjelwe ukungqubuzana okubulalayo Amaqembu ngokuvamile athola imiphumela engcono uma echaza imingcele yekhwalithi ngaphambili, egcina indlela yokukhuphuka komuntu yezimo ezibucayi, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-AI ku-Wildlife Conservation Monitoring isebenza

Amathuluzi okuqaphela iphethini ye-stripe- kanye nebala (njengalawo asetshenziselwa amadube, amahlosi, noshaka be-whale) ahlonza isilwane ngasinye kuzo zonke izithombe ukuze ulinganise amasayizi abantu.

Amathuluzi okuqaphela iphethini enemithende nebala (njengalawo asetshenziselwa amadube, amahlosi, noshaka omkhomo) ahlonza isilwane ngasinye ezithombeni ukuze ulinganisele ubukhulu besibalo sabantu Amaqembu ngokuvamile athola imiphumela engcono uma echaza izilinganiso zekhwalithi ngaphambili, agcine indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

Izingozi & Guardrails

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Ukuzenzakalela inqubo ephukile kungakhulisa izinkinga ezikhona.

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Amaqembu angase azenze ngokuzenzakalelayo futhi asuse ukwahlulela komuntu okudingekayo.

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Ikhwalithi ingakhukhuleka uma okuphumayo kungahlolwa ngokuqhubekayo.

Ukuqalisa Umhlahlandlela

1

Imephu yokuhamba komsebenzi kwamanje futhi uhlonze isinyathelo sokungqubuzana okuphezulu kakhulu.

Imephu yokuhamba komsebenzi kwamanje futhi uhlonze isinyathelo sokungqubuzana okuphezulu kakhulu. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

2

Chaza izindawo zokuhlola abantu ngaphambi kokuzenzakalela okugcwele.

Chaza izindawo zokuhlola abantu ngaphambi kokuzenzakalela okugcwele. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

3

Qeqesha abasebenzisi ngokwaziswa, izindlela zokukhuphuka, namazinga ekhwalithi.

Qeqesha abasebenzisi ngokwaziswa, izindlela zokukhuphuka, namazinga ekhwalithi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

4

Landelela imiphumela yezinga lomsebenzi ukuze uqinisekise inani eliqhubekayo.

Landelela imiphumela yezinga lomsebenzi ukuze uqinisekise inani eliqhubekayo. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

Qhubeka Uhlole