GUIDE ci aplikaasioŋ yi

IA ci di wottu sàmm rabi àll yi

IA dafay jàppale gëstukat yi ñu mëna lim, topp, aar baayima yi ci jàngat ci saasi ay nataal, ay son ak ay done ci dayo bu nit musul mëna am.

Déglul tegtal biiIA-nettali · ~2 min

Ci xët wii2 simili jàng
  1. Résumé
  2. Plongeur bu xóot
  3. Doxal ci àdduna dëgg
  4. Ëlëgu IA ci di wottu sàmm rabi àll yi
  5. Teg ko ci jëf
  6. Weyal di banneexu
  7. Laaj yi ñuy faral di laaj

Résumé

It turns mountains of camera-trap images and acoustic recordings into actionable conservation decisions.

Plongeur bu xóot

Ñiy xeex ngir baña yàq mbindéef yi dañuy dugal ay junni fiir yuy yëngu, ay mikro, ak ay koliye GPS yuy defar ay done yu ëpp li nit ñi mëna xoolaat. IA dafay soppi math bi. Modèlu gis-gis ordinatër dafay scanner nataali fiir kamera ngir gis ak xàmmee xeetu mbindéef yi, lim benn-benn, ba ci xàmmee benn baayima ci motif rayoŋ wala tombi rëdd. Modèle bioacoustic yi dañuy déglu enregistrement yi ci àll bi ak ci géej gi ngir fësal way picc yi, wootu baleine yi, wala chainsaw yi ak tiire bunduxatal yiy wane poaching. Modèlu nataali satelit yi dañuy wane dagg garab yi ak ñàkkum dëkkuwaay yi daanaka ci jamono dëgg. Projet yu melni Wildlife Insights, Zamba, ak Rainforest Connection dañuy liggéey ci ay milioŋ ciy dosie, loolu mooy tax baarkat yi ak biologue yi bàyyi seen xel ci tontu li, duñu def tànneef ak etiketu loxo.

Doxal ci àdduna dëgg

Wildlife Insights dafay jëfandikoo Google IA ngir xaaj boppam téemeeri milioŋ ciy nataal yuñ jàpp ci kamera, muy wàññi diiru xoolaat nataal yi ci ay waxtu dem ba ci ay segond ngir gëstukat yi.

Rainforest Connection dafay jëfandikoowaat telefon yu yàgg yi def leen ay aparey yuy déglu yuy doxal ci jant bi, yuy gis sonu chainsaw ak kamioŋ, ba noppi di artu ay gardien ci dugg ci yoon ci saa si.

Ay model yuy gis wootu baleen yi deñuy skane ay enregistrement hydrophone yu nekk ci biir ndox ngir gis baleen yu ndeyjooru Atlantik gannaar yi ñungi ci jafe jafe jeex, ak soppi yoonu gaal yi ngir moytu mbëkkante yu bonn yi.

Jumtukaayi xàmmee motif rayoŋ ak tombi ñaw (lu melni yi ñuy jëfandikoo ci zebra yi, tig yi ak baleine yi) dañuy xàmmee baayima bu nekk ci nataal yi ngir xayma limu nit ñi.

Ëlëgu IA ci di wottu sàmm rabi àll yi

Expect smaller models to run directly on some edge devices in the field. Local analysis can reduce how much raw data needs to be transmitted, for example when a device sends alerts or selected detections; actual bandwidth and battery savings depend on model size, hardware, duty cycle, and network configuration. Real-time anti-poaching networks, drone-mounted thermal detection, and acoustic arrays will increasingly trigger instant ranger dispatch. Foundation models trained across many species and sensors should reduce the labeled data each project needs, while open platforms make models shareable so even small, underfunded conservation groups can benefit.

Teg ko ci jëf

Lu tax mu am solo

  • Tabax tànneef. Ni ñuy jëmmale aplikaasioŋ bi mooy wane ndax IA dafay gëna baaxal njariñ yi.
  • Ekip ak def liggéey. Integraasioŋ bu baax ci def liggéey dafay jur njariñu liggéey bu jëfandikukat yi mëna wóolu.
  • Risk ak kaaraange. Jëfandikoo bu jaar yoon dina wàññi coono coppite ak risku samp gi.

Moytul

  • Otomatise procédure bu yàqu mën na yokk jafe-jafe yi fi nekk.
  • Ekip yi mën nañu otomatise lu ëpp ba noppi dindi àtteb nit ñi.
  • Kalite mën na wàññeeku sudee duñu wéy di jàngat li ñuy génne.

Jéego yi ci topp

  1. Defal kàrt ni liggéey bi di doxee leegi nga ràññee jéego bi gëna am jafe-jafe.
  2. Mandargal barabu saytu nit balaa otomatisasioŋ bu mat sëkk.
  3. Taggat jëfandikukat yi ci ay laaj, yooni eskalaasioŋ ak seeni sàrti kalite.
  4. Toppal njariñu niveau liggéey bi ngir firndeel valeur buy wéy.

Weyal di banneexu

Bulletin bu amul fayda

Jàngal xibaar AI bu bes

Ñatti jaar-jaari IA yuñ firndeel bis bu nekk ci ayu-bis bi, ñu bind leen ci Àngle bu leer. Gratis ba fàww, amul yëgle.

Benn email bis bu nekk ci ayu-bis bi. Benn klik nga dindi abonemaa bi. Dunu musa jaay wala séddoo sa adres.

Nattal sa bopp

Take the AI in Wildlife Conservation Monitoring quiz

Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.

Tambalil quiz

Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax

Laaj yi ñuy faral di laaj

What is AI in Wildlife Conservation Monitoring?

IA dafay jàppale gëstukat yi ñu mëna lim, topp, aar baayima yi ci jàngat ci saasi ay nataal, ay son ak ay done ci dayo bu nit musul mëna am. Dafay soppi tundu nataali fiir kamera ak enregistrement akustik ñu nekk dogal yuñ mëna jëfandikoo ngir sàmm.

Lan moo waral IA am njariñ lu bari ci projet yiy sàmm fiir yi?

Camera-trap projects can accumulate more images than people can inspect efficiently; Wildlife Insights describes using AI to identify blank photos and classify species to help prioritize review.

In an automated forest-wildlife sound-classification workflow, how can a CNN receive the recordings?

A U.S. Forest Service research workflow detects animal sounds by classifying spectrogram images generated from short audio clips with a convolutional neural network.

Lan mooy 'ràññeewaat' baayima bu nekk?

Jàngum metrik dafay xayma rëdd yi wala tombi baayima yi ci barab buñ samp, loolu mooy tax model bi mëna méngoo ak benn nit ci gis-gis yu wuute.

Ak naka la sistemu Rainforest Connection di jàppale ci xeex dagg garab ci anam wudul yoon?

Telefoon yu xarañ yiñ defaraat dañuy déglu bruit yu wuute yi ci chainsaw yi ak kamioŋ yi, di yónnee ay artu ci saasi ngir gardien yi mëna jàppale balaa yàqu-yàqu bi di tasaaroo.

Lan moo waral njàngum toxal lu bari ci misaali xoolum rabi àll yi?

Xeet yu bari duñu am nataal yu bari yuñ etikete, kon tàmbalee ci model bu mag buñ tàggat bu baax ak defar bu baax dafay tax sistem yi mëna def lu baax ak done yu néew.