{"id":8315,"date":"2023-12-14T19:35:06","date_gmt":"2023-12-14T19:35:06","guid":{"rendered":"https:\/\/dailyai.com\/?p=8315"},"modified":"2023-12-14T19:49:21","modified_gmt":"2023-12-14T19:49:21","slug":"ai-assists-conservationists-by-identifying-whales-from-photos","status":"publish","type":"post","link":"https:\/\/dailyai.com\/de\/2023\/12\/ai-assists-conservationists-by-identifying-whales-from-photos\/","title":{"rendered":"KI hilft Natursch\u00fctzern bei der Identifizierung von Walen anhand von Fotos"},"content":{"rendered":"

Die KI hat sich als wirksame Waffe f\u00fcr Natursch\u00fctzer erwiesen. Projekte haben gezeigt, dass sie in der Lage ist, seltene Arten, Umweltverschmutzung, Entwaldung und den Verlust von Lebensr\u00e4umen zu \u00fcberwachen.<\/b><\/p>\n

Jetzt hat sich dies auf die Beobachtung von Walen und die Praxis und den Zeitvertreib der Walbeobachtung ausgeweitet.\u00a0<\/span><\/p>\n

Ted Cheeseman, ein Walsch\u00fctzer, erl\u00e4uterte die Herausforderungen bei der Aufnahme dieser schwer fassbaren Meeresriesen mit den Worten: \"Man sieht 2% des Wals f\u00fcr 2% der Zeit\".\u00a0<\/span><\/p>\n

Die Firma Cheeseman, <\/span>HappyWhale<\/span><\/a>setzt KI ein, um das Walbeobachtungserlebnis f\u00fcr Touristen und Natursch\u00fctzer gleicherma\u00dfen zu verbessern. <\/span><\/p>\n

Die Software erm\u00f6glicht es den Nutzern, Fotos von Walen zur Identifizierung hochzuladen und dabei auf eine Datenbank mit \u00fcber 70.000 Walen zur\u00fcckzugreifen.\u00a0<\/span><\/p>\n

\"HappyWhale\"
HappyWhale<\/figcaption><\/figure>\n

Das Besondere an dieser KI ist die F\u00e4higkeit, einen Wal auch dann zu erkennen, wenn die Schwanzflosse nicht perfekt sichtbar ist, sei es gedreht, gekr\u00fcmmt oder tauchend.\u00a0<\/span><\/p>\n

Diese Technologie nutzt die Bilderkennung, einen Zweig des maschinellen Lernens, der sich mit der Analyse von visuellen Daten wie Videos und Bildern befasst. Das Modell nutzt KI, um einzigartige Markierungen und Formen auf den Schw\u00e4nzen der Wale zu erkennen.<\/span><\/p>\n

Einige der f\u00fchrenden Beitragszahler von HappyWhale sind Naturschutzorganisationen, wie die <\/span>Stiftung f\u00fcr pazifische Wale<\/span><\/a>. Die Plattform verfolgt auch den Standort der Wale, zeichnet ihre Verteilung auf und erm\u00f6glicht es den Forschern zu sehen, ob Wale an ungew\u00f6hnlichen oder anomalen Orten auftauchen.\u00a0<\/span><\/p>\n

\"\"
HappyWhale's Top-Beitragende.<\/figcaption><\/figure>\n

Dieser Ansatz ist Teil eines breiteren Trends, bei dem Naturschutzgruppen KI einsetzen, um die \u00d6ffentlichkeit bei der Identifizierung von Wildtieren zu unterst\u00fctzen, und im Gegenzug riesige Mengen an Crowdsourcing-Daten sammeln. Daten sind entscheidend f\u00fcr die Verfolgung und das Verst\u00e4ndnis von Tierbewegungen und -populationen auf der ganzen Welt.<\/span><\/p>\n

\u00c4hnlich verh\u00e4lt es sich mit der <\/span>Merlin Vogel-ID-Anwendung<\/span><\/a>, entwickelt vom Cornell Lab of Ornithology, nutzt KI, um den Nutzern bei der Identifizierung von Vogelarten anhand von Sicht- oder H\u00f6rzeichen zu helfen. <\/span><\/p>\n

Die App vergleicht vom Benutzer bereitgestellte Bilder oder Tonaufnahmen mit einer umfassenden Datenbank und wandelt Audiodaten in Spektrogramme um, die dann abgeglichen werden.<\/span><\/p>\n

Die App iNaturalist schlie\u00dflich, die als soziales Netzwerk begann, setzt nun KI zur Artenbestimmung ein. Wie bei HappyWhale lernt die KI kontinuierlich aus den von den Nutzern eingesandten Fotos und unterscheidet die Arten, indem sie einzigartige visuelle Muster erkennt.\u00a0<\/span><\/p>\n

Die Auswirkungen von AI auf die Umwelt sind <\/span>sehr umstritten<\/span><\/a>Aber wie es f\u00fcr die Technologie typisch ist, wird dies durch ihre Vorteile ausgeglichen, insbesondere wenn sie von Personen mit den besten Absichten eingesetzt wird.\u00a0<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Die k\u00fcnstliche Intelligenz hat sich als wirksame Waffe f\u00fcr Natursch\u00fctzer erwiesen. Projekte haben gezeigt, dass sie in der Lage ist, seltene Arten, Umweltverschmutzung, Abholzung und den Verlust von Lebensr\u00e4umen zu \u00fcberwachen. Jetzt hat sich dies auch auf die Beobachtung von Walen und die Praxis und den Zeitvertreib des Whale Watching ausgeweitet. Ted Cheeseman, ein Walsch\u00fctzer, erkl\u00e4rte die Herausforderungen bei der Aufnahme von Bildern dieser schwer fassbaren Meeresriesen mit den Worten: \"Man sieht 2% des Wals f\u00fcr 2% der Zeit. Cheesemans Unternehmen HappyWhale setzt KI ein, um das Erlebnis der Walbeobachtung f\u00fcr Touristen und Natursch\u00fctzer gleicherma\u00dfen zu verbessern. Ihre Software erm\u00f6glicht es den Nutzern, Fotos von Walen zur Identifizierung hochzuladen und dabei auf eine Datenbank mit \u00fcber 70.000 Walen zur\u00fcckzugreifen. Was<\/p>","protected":false},"author":2,"featured_media":8318,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[108,182,306],"class_list":["post-8315","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-computer-vision-cv","tag-conservation","tag-environment"],"yoast_head":"\nAI assists conservationists by identifying whales from photos | DailyAI<\/title>\n<meta name=\"description\" content=\"AI has proven itself a potent weapon for conservationists, with projects year demonstrating its ability to monitor rare species, prevent pollution, deforestation and habitat loss, and track animal movement and migrations.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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