I-Industries GUIDE

I-AI ku-Wildlife Conservation

I-AI isiza abalondolozi bemvelo ukubala izilwane, bakhombe abantu ngabanye, futhi babambe abazingeli ngokungemthetho ngokuhlaziya ngokuzenzakalela izithombe ezibamba ikhamera, umsindo, nezithombe zesathelayithi.

Uhlolojikelele

I-AI isiza abalondolozi bemvelo ukubala izilwane, bakhombe abantu ngabanye, futhi babambe abazingeli ngokungemthetho ngokuhlaziya ngokuzenzakalela izithombe ezibamba ikhamera, umsindo, nezithombe zesathelayithi. Kubalulekile ngoba abaqaphi nezazi zebhayoloji babhekana nenani eliningi ledatha kanye nesikhathi esinciphayo ukuze bavikele izilwane ezisengozini.

I-AI ku-Wildlife Conservation isebenzisa i-AI ezindaweni eziqondene nesizinda lapho imithethonqubo, ukusebenza, kanye nokubekezelela ubungozi kukulolonga ngokuqinile ukukhetha kokuklama.

I-Deep Dive

Ukongiwa kwemvelo kukhiqiza idatha enkulu engenamalebula: izigidi zezithombe zekhamera, amahora omsindo wehlathi lemvula, nezigcawu zesathelayithi zokushintsha indawo yokuhlala. I-AI iguqula leso sikhukhula sibe yisenzo. Amamodeli abona ngekhompyutha afana nalawo angemuva kwe-Wildlife Insights ahlunga izithombe zekhamera ngezinhlobo zezilwane ngemizuzwana, zihlunge amafreyimu angenalutho abangelwa umoya. Amamodeli we-Bioacoustic athola ukuqhuma kwezibhamu, ama-chainsaw, noma izingcingo ezithile zezinyoni nemikhomo emifudlaneni yomsindo. Amasistimu e-Individual-ID abona amaphethini ahlukile njengemigqa yengwe, amajazi amadube, noma ama-whale flukes, avumela ukulandelela inani labantu ngaphandle kokumaka ngokomzimba. Amamodeli abikezelayo lapho kungenzeka khona ukuzingelwa ngokungemthetho, esiza abaqaphi baqaphe ngobuhlakani. Ama-drones anamakhamera ashisayo kanye ne-AI ibala imihlambi futhi ibona abahlaseli ebusuku, iphindaphinda ukufinyelela kwamaqembu amancane asensimini.

I-Technical Insight

Ukuqashelwa kwezinhlobo kusebenzisa amanethiwekhi e-convolutional neural aqeqeshwe kumasethi ezithombe ezinelebula; ukudlulisa ukufunda kuvumela amaqembu ajwayelane namamodeli amakhulu aqeqeshwe kusengaphambili ukuze abe nezinhlobo ezingavamile ngezibonelo ezimbalwa. Ukuhlonza komuntu ngamunye kuphatha izimpawu eziyingqayizivele njenge-biometric, efanisa ukubonakala okusha ngokumelene nesizindalwazi esinezici ezishumekiwe. Amathuluzi okulwa nokuzingelwa ngokungemthetho afana ne-PAWS asebenzisa amamodeli e-game-theoretic kanye ne-predictive ku-patrol yomlando kanye nedatha yokuzingela ngokungemthetho ukuze kunconywe imizila yokuhlola engahleliwe, okunzima ukuyibikezela.

I-AI yobungcweti kwezokongiwa kwezilwane zasendle

I-AI isiza abalondolozi bemvelo ukubala izilwane, bakhombe abantu ngabanye, futhi babambe abazingeli ngokungemthetho ngokuhlaziya ngokuzenzakalela izithombe ezibamba ikhamera, umsindo, nezithombe zesathelayithi. Kubalulekile ngoba abaqaphi nezazi zebhayoloji babhekana nenani eliningi ledatha kanye nesikhathi esinciphayo ukuze bavikele izilwane ezisengozini. I-AI ku-Wildlife Conservation isebenzisa i-AI ezindaweni eziqondene nesizinda lapho imithethonqubo, ukusebenza, kanye nokubekezelela ubungozi kukulolonga ngokuqinile ukukhetha kokuklama. Ukuze wakhe ukuqonda okujulile, phatha i-AI Ekugcinweni Kwezilwane Zasendle 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 Ekugcinweni Kwezilwane Zasendle aqondisa amandla obuchwepheshe nenqubomgomo yesizinda, ukucwaningwa kwamabhuku, kanye nokuthatha izinqumo okuphambili. 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.

Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso. Ngesikhathi esifanayo, izimfuneko Zokulawula zingenza ama-prototypes aqine ngenye indlela. 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

Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso.

Umongo womkhakha unquma ukuthi imibono ye-AI iyasinda yini ekuxhumaneni neqiniso. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

Imikhawulo yesizinda ithonya izilinganiso zamaphutha ezamukelekayo namamodeli wokugada.

Imikhawulo yesizinda ithonya izilinganiso zamaphutha ezamukelekayo namamodeli wokugada. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

Ukuthunyelwa okuphumelelayo kuqondanisa amandla obuchwepheshe nokugeleza komsebenzi okuphambili.

Ukuthunyelwa okuphumelelayo kuqondanisa amandla obuchwepheshe nokugeleza komsebenzi okuphambili. Ekusetshenzisweni kwekhwalithi ephezulu, lokhu kuhunyushwa emithethweni yokusebenza elinganisekayo, imingcele yobunikazi, nemikhuba yokubuyekeza ephindelelayo ukuze amaqembu akwazi ukukala ukuzethemba esikhundleni sokukala ukungaqondakali.

Ikusasa le-AI Ekugcinweni Kwezilwane Zasendle

Lindela izinzwa ezihlakaniphile ezishibhile, ezinamandla elanga ezisebenzisa ukutholwa kudivayisi futhi zithumele kuphela izexwayiso ngamanethiwekhi anomkhawulokudonsa ophansi, okunweba ukumbozwa ezindaweni ezikude. Amanethiwekhi e-acoustic esikhathi sangempela nawekhamera azobangela ukusabela komqaphi osheshayo ekudutshulweni kwezibhamu noma ekungeneni. Amamodeli esisekelo aqeqeshwe kuzo zonke izinhlobo nezindawo ezihlala kuzo azokwenza kube lula ukuqapha i-ecosystem efundwa kabi, kuyilapho ukuzimela kwe-drone okuthuthukisiwe kusekela izinhlolovo zasemoyeni ezinkulu. Ukwabelana ngedatha okungcono phakathi kwamapaki nabacwaningi kuzocija izilinganiso zabantu emhlabeni wonke kanye nezinto ezibalulekile zokongiwa.

Ukuqaliswa Komhlaba Wangempela

I-Wildlife Insights namathuluzi afanayo ahlukanisa ngokuzenzakalelayo izigidi zezithombe zogibe lwekhamera ngokwezinhlobo, okonga izinyanga zezazi zebhayoloji zokuhlunga mathupha.

Izinzwa ze-Bioacoustic ezifana ne-Rainforest Connection zithola i-chainsaw nemisindo yesibhamu ukuze zixwayise abaqaphi ngokugawulwa kwemithi nokuzingela ngokungemthetho.

Amasistimu wokuqaphela amaphethini ahlonza amahlosi ngamanye, amadube, noma imikhomo ngezimpawu zawo ezihlukile ukuze alandelele abantu ngaphandle kokumaka.

Amathuluzi aqagelayo afana ne-PAWS ahlaziya idatha yokuzingela ngokungemthetho yesikhathi esidlule ukuze ancome imizila yokuqapha ehlakaniphile, engahleliwe.

Amaphethini Okusebenzisa

I-AI in Wildlife Conservation in practice

I-Wildlife Insights namathuluzi afanayo ahlukanisa ngokuzenzakalelayo izigidi zezithombe zogibe lwekhamera ngokwezinhlobo, okonga izinyanga zezazi zebhayoloji zokuhlunga mathupha.

I-Wildlife Insights kanye namathuluzi afanayo ahlukanisa ngokuzenzakalelayo izigidi zezithombe zomgibe wekhamera ngokwezinhlobo, ukonga izinyanga zezazi zebhayoloji zokuhlunga mathupha Amathimba ngokuvamile athola imiphumela engcono lapho echaza imikhawulo yekhwalithi ngaphambili, egcina indlela yokukhuphuka yabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-AI in Wildlife Conservation in practice

Izinzwa ze-Bioacoustic ezifana ne-Rainforest Connection zithola i-chainsaw nemisindo yesibhamu ukuze zixwayise abaqaphi ngokugawulwa kwemithi nokuzingela ngokungemthetho.

Izinzwa ze-Bioacoustic ezifana ne-Rainforest Connection zibona i-chainsaw nemisindo yokudubula ukuze zixwayise abaqaphi ngokugawula imithi ngokungemthetho nokuzingelwa ngokungemthetho Amathimba ngokuvamile athola imiphumela engcono lapho echaza imingcele yekhwalithi ngaphambili, agcina indlela yokukhuphuka kwabantu yamacala asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-AI in Wildlife Conservation in practice

Amasistimu wokuqaphela amaphethini ahlonza amahlosi ngamanye, amadube, noma imikhomo ngezimpawu zawo ezihlukile ukuze alandelele abantu ngaphandle kokumaka.

Amasistimu wokuqaphela amaphethini ahlonza amahlosi ngamanye, amadube, noma imikhomo ngezimpawu zawo ezihlukile ukuze alandelele abantu ngaphandle kokumaka Amathimba ngokuvamile athola imiphumela engcono uma echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka komuntu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

I-AI in Wildlife Conservation in practice

Amathuluzi aqagelayo afana ne-PAWS ahlaziya idatha yokuzingela ngokungemthetho yesikhathi esidlule ukuze ancome imizila yokuqapha ehlakaniphile, engahleliwe.

Amathuluzi aqagelayo njenge-PAWS ahlaziya idatha yokuzingela ngokungemthetho yesikhathi esidlule ukuze atuse imizila yokuqapha ehlakaniphile, engahleliwe Amathimba ngokuvamile athola imiphumela engcono lapho echaza izinga eliphezulu ngaphambili, egcina indlela yokukhuphuka kwabantu yamakesi asemaphethelweni, futhi alandelele kokubili izinzuzo zokukhiqiza nezindleko zamaphutha ngokuhamba kwesikhathi.

Izingozi & Guardrails

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Izidingo zokulawula zingenza ama-prototypes aqine ngenye indlela.

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Idatha yomlando ingase ihlanganise ukuchema okulimaza imiphakathi ethile.

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Izinhlelo zefa zingakha izithiyo zokuhlanganisa kanye nezindleko ezifihliwe.

Ukuqalisa Umhlahlandlela

1

Bandakanya ochwepheshe besizinda kusukela ekufakeni inkinga kuye ekuhlolweni.

Bandakanya ochwepheshe besizinda kusukela ekufakeni inkinga kuye ekuhlolweni. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

2

Dizayina izindlela zokuhlola kanye nemibhalo ngaphambi kokwethulwa.

Dizayina izindlela zokuhlola kanye nemibhalo ngaphambi kokwethulwa. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

3

Qinisekisa ukuthobela imithetho nokuphepha kusenesikhathi.

Qinisekisa ukuthobela imithetho nokuphepha kusenesikhathi. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

4

Khipha ngezigaba ngemibandela yokumisa ecacile neyokubuyisela emuva.

Khipha ngezigaba ngemibandela yokumisa ecacile neyokubuyisela emuva. Phatha isinyathelo ngasinye njengesango lobufakazi: uma imibandela ingafinyelelwa, misa ukukhishwa, vala igebe, bese unweba ukusetshenziswa.

Qhubeka Uhlole