{"id":449111,"date":"2024-04-12T00:16:05","date_gmt":"2024-04-11T22:16:05","guid":{"rendered":"https:\/\/forschung.fh-kaernten.at\/siena\/?p=449111"},"modified":"2026-05-22T15:33:13","modified_gmt":"2026-05-22T13:33:13","slug":"ai-face-reading","status":"publish","type":"post","link":"https:\/\/forschung.fh-kaernten.at\/siena\/2024\/04\/ai-face-reading\/","title":{"rendered":"Wenn KI Affengesichter liest"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"449111\" class=\"elementor elementor-449111\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a670c59 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a670c59\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9c6e2ee\" data-id=\"9c6e2ee\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-67ddb9b elementor-widget elementor-widget-spacer\" data-id=\"67ddb9b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-82677a5 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"82677a5\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5749ebc\" data-id=\"5749ebc\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4934f8a elementor-widget elementor-widget-heading\" data-id=\"4934f8a\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Wenn KI Affengesichter liest<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-89e45cc elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"89e45cc\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-fcc9d72\" data-id=\"fcc9d72\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-500801d elementor-widget elementor-widget-spacer\" data-id=\"500801d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-744814e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"744814e\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9cb2ce6\" data-id=\"9cb2ce6\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-aa721df elementor-widget elementor-widget-text-editor\" data-id=\"aa721df\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"qwen-markdown-paragraph\" data-spm-anchor-id=\"a2ty_o01.29997173.0.i223.314a55fbfocwTU\" style=\"text-align: justify\"><div class=\"qwen-markdown-paragraph\" data-spm-anchor-id=\"a2ty_o01.29997173.0.i223.314a55fbfocwTU\"><span style=\"font-size: 14pt\"><span class=\"qwen-markdown-text\" data-spm-anchor-id=\"a2ty_o01.29997173.0.i242.314a55fbfocwTU\">Die Technologie, die beim Entsperren des Smartphones hilft, findet nun Anwendung in der Primatenforschung: Im Rahmen des Projekts <\/span><span class=\"qwen-markdown-text\">Smart Monkey Lab<\/span><span class=\"qwen-markdown-text\" data-spm-anchor-id=\"a2ty_o01.29997173.0.i241.314a55fbfocwTU\"> am Affenberg Landskron wird k\u00fcnstliche Intelligenz eingesetzt, um Japanmakaken-Individuen anhand des Gesichts automatisch zu erkennen und zu unterscheiden.<\/span><\/span><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-581e130 elementor-widget elementor-widget-image\" data-id=\"581e130\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"750\" height=\"501\" src=\"data:image\/gif;base64,R0lGODlhAQABAAAAACH5BAEKAAEALAAAAAABAAEAAAICTAEAOw==\" class=\"attachment-large size-large wp-image-449072 lazyload\" alt=\"\" sizes=\"(max-width: 750px) 100vw, 750px\" data-src=\"https:\/\/forschung.fh-kaernten.at\/siena\/files\/2026\/05\/recognition-1.png\" data-srcset=\"https:\/\/forschung.fh-kaernten.at\/siena\/files\/2026\/05\/recognition-1.png 798w, https:\/\/forschung.fh-kaernten.at\/siena\/files\/2026\/05\/recognition-1-300x200.png 300w, https:\/\/forschung.fh-kaernten.at\/siena\/files\/2026\/05\/recognition-1-768x513.png 768w, https:\/\/forschung.fh-kaernten.at\/siena\/files\/2026\/05\/recognition-1-360x240.png 360w\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-aa65e6d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"aa65e6d\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-45f3999\" data-id=\"45f3999\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4721080 elementor-widget elementor-widget-text-editor\" data-id=\"4721080\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center\"><span style=\"font-size: 12pt\">KI-basierte Gesichtserkennung von Japanmakaken<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c80979c elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c80979c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-bc55af5\" data-id=\"bc55af5\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8461030 elementor-widget elementor-widget-text-editor\" data-id=\"8461030\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify\"><span style=\"font-size: 14pt\">Gesichtserkennungsalgorithmen sind im Alltag weit verbreitet. In der Wildtierforschung stellt die individuelle Identifizierung von Tieren jedoch eine besondere Herausforderung dar. Japanmakaken weisen subtile, aber eindeutige Gesichtsmerkmale auf \u2013 von der Form der Augenpartie \u00fcber die Nasenstruktur bis hin zu individuellen Fellmustern im Gesichtsbereich. Diese Merkmale macht sich das Smart Monkey Lab zunutze.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-811a8c3 elementor-widget elementor-widget-text-editor\" data-id=\"811a8c3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"qwen-markdown-paragraph\" data-spm-anchor-id=\"a2ty_o01.29997173.0.i223.314a55fbfocwTU\" style=\"text-align: justify\"><span style=\"font-size: 14pt\">Ein auf Deep Learning basierendes KI-Modell wird mit tausenden Fotos der Makaken trainiert, um Gesichter zu detektieren, zu extrahieren und individuell zuzuordnen. Das System lernt dabei, relevante Merkmale zu gewichten und auch unter wechselnden Lichtverh\u00e4ltnissen oder bei unterschiedlichen Kopfpositionen zuverl\u00e4ssige Erkennungen vorzunehmen.<\/span><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b9082b2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b9082b2\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4cddd01\" data-id=\"4cddd01\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e0ae3e6 elementor-widget elementor-widget-heading\" data-id=\"e0ae3e6\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Warum Gesichtserkennung f\u00fcr die Forschung wertvoll ist<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4c9b66a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4c9b66a\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-bbd07c1\" data-id=\"bbd07c1\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3ef9a17 elementor-widget elementor-widget-text-editor\" data-id=\"3ef9a17\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"qwen-markdown-paragraph\" data-spm-anchor-id=\"a2ty_o01.29997173.0.i223.314a55fbfocwTU\" style=\"text-align: justify\"><span style=\"font-size: 14pt\">Die automatische Identifizierung einzelner Tiere erm\u00f6glicht pr\u00e4zisere Verhaltensstudien. Statt sich auf manuelle Notizen oder arbeitsintensive Videoauswertungen zu verlassen, k\u00f6nnen Forschende gro\u00dfe Datenmengen systematisch erfassen: Wer interagiert mit wem? Wie ver\u00e4ndern sich Sozialkontakte nach der Gehegeerweiterung? Welche Individuen nutzen neue Habitatbereiche zuerst?<\/span><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a88a140 elementor-widget elementor-widget-text-editor\" data-id=\"a88a140\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"qwen-markdown-paragraph\" data-spm-anchor-id=\"a2ty_o01.29997173.0.i223.314a55fbfocwTU\" style=\"text-align: justify\"><span style=\"font-size: 14pt\">Solche Fragen sind zentral f\u00fcr das Verst\u00e4ndnis sozialer Dynamiken bei Japanmakaken, deren Gruppenstrukturen mit menschlichen Sozialnetzwerken vergleichbar sind. Die KI-gest\u00fctzte Gesichtserkennung liefert hierf\u00fcr die technische Grundlage, um Langzeitdaten objektiv und reproduzierbar zu erheben.<\/span><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c231ea0 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c231ea0\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cb47174\" data-id=\"cb47174\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0475912 elementor-widget elementor-widget-heading\" data-id=\"0475912\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Tierwohl im Fokus<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-843bb82 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"843bb82\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-470c85a\" data-id=\"470c85a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a7c4520 elementor-widget elementor-widget-text-editor\" data-id=\"a7c4520\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"qwen-markdown-paragraph\" data-spm-anchor-id=\"a2ty_o01.29997173.0.i223.314a55fbfocwTU\" style=\"text-align: justify\"><span style=\"font-size: 14pt\">Ein entscheidender Vorteil der nicht-invasiven Technologie: Die Tiere m\u00fcssen weder gefangen noch markiert werden. Die Erkennung erfolgt ausschlie\u00dflich \u00fcber Bilddaten aus sicherer Distanz \u2013 sei es durch fest installierte Kameras, mobile Aufnahmeger\u00e4te oder Drohnen. Dies entspricht dem ethischen Anspruch des Projekts, Verhaltensforschung mit minimalem Eingriff in das nat\u00fcrliche Verhalten der Tiere zu betreiben.<\/span><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ab5337a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ab5337a\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-defdc30\" data-id=\"defdc30\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2236c61 elementor-widget elementor-widget-heading\" data-id=\"2236c61\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Technische Umsetzung im Smart Monkey Lab<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f9116b2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f9116b2\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-cc26fac\" data-id=\"cc26fac\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a510b49 elementor-widget elementor-widget-text-editor\" data-id=\"a510b49\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: justify\"><span style=\"font-size: 14pt\">Die Entwicklung der Gesichtserkennung erfolgt in enger Abstimmung zwischen Verhaltensbiologie der Universit\u00e4t Wien und Digital-Expertise der FH K\u00e4rnten. Der Workflow umfasst:<\/span><\/p><ul style=\"text-align: justify\"><li><span style=\"font-size: 14pt\">Erfassung hochwertiger Bild- und Videodaten im Feld<\/span><\/li><li><span style=\"font-size: 14pt\">Annotation und Aufbereitung der Daten f\u00fcr das Training der KI<\/span><\/li><li><span style=\"font-size: 14pt\">Entwicklung und Feinabstimmung eines auf Makaken spezialisierten Erkennungsmodells<\/span><\/li><\/ul><p style=\"text-align: justify\"><span style=\"font-size: 14pt\">Ziel ist ein robustes System, das im Alltag des Affenbergs praktikabel einsetzbar ist und auch von Parkmitarbeitenden oder im Rahmen von Citizen-Science-Formaten genutzt werden kann.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-487b19a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"487b19a\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ff0e6ca\" data-id=\"ff0e6ca\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-057b138 elementor-widget elementor-widget-heading\" data-id=\"057b138\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Ausblick<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-5b982db elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5b982db\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-f58ccb8\" data-id=\"f58ccb8\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ceb941b elementor-widget elementor-widget-text-editor\" data-id=\"ceb941b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"qwen-markdown-paragraph\" data-spm-anchor-id=\"a2ty_o01.29997173.0.i223.314a55fbfocwTU\" style=\"text-align: justify\"><span style=\"font-size: 14pt\">Die Gesichtserkennung ist ein Kernbaustein des Smart Monkey Lab und wird schrittweise mit weiteren Technologien wie thermischer Drohnenfernerkundung und r\u00e4umlichen Analysemethoden verkn\u00fcpft. Die gewonnenen Erkenntnisse und entwickelten Tools haben das Potenzial, auch in anderen Zoos, Wildtierparks oder Forschungsprojekten Anwendung zu finden.<\/span><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-e8bb0d2 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"e8bb0d2\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8f7c28c\" data-id=\"8f7c28c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-a312903 elementor-widget elementor-widget-text-editor\" data-id=\"a312903\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><em><span style=\"font-size: 12pt\">Das <a href=\"https:\/\/forschung.fh-kaernten.at\/siena\/prj\/sml\/\">Projekt Smart Monkey Lab<\/a> wird im Rahmen des BRIDGE-Programms von der \u00d6sterreichischen Forschungsf\u00f6rderungsgesellschaft (<a href=\"https:\/\/www.ffg.at\/\" target=\"_blank\" rel=\"noopener\">FFG<\/a>) gef\u00f6rdert (Projekt-Nr. 4639393, Laufzeit 2023\u20132026).<\/span><\/em><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f187db6 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f187db6\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5786852\" data-id=\"5786852\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-e7ecd5e elementor-widget elementor-widget-spacer\" data-id=\"e7ecd5e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Wenn KI Affengesichter liest Die Technologie, die beim Entsperren des Smartphones hilft, findet nun Anwendung in der Primatenforschung: Im Rahmen des Projekts Smart Monkey Lab am Affenberg Landskron wird k\u00fcnstliche Intelligenz eingesetzt, um Japanmakaken-Individuen anhand des Gesichts automatisch zu erkennen und zu unterscheiden. KI-basierte Gesichtserkennung von Japanmakaken Gesichtserkennungsalgorithmen sind im<a class=\"moretag\" href=\"https:\/\/forschung.fh-kaernten.at\/siena\/2024\/04\/ai-face-reading\/\"> Weiterlesen<\/a><\/p>\n","protected":false},"author":172,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"_crdt_document":"{\"document\":\"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\",\"updateId\":641652938}","inline_featured_image":false,"ngg_post_thumbnail":0,"footnotes":""},"categories":[53,61,30,28],"tags":[97,88],"class_list":["post-449111","post","type-post","status-publish","format-standard","hentry","category-ki","category-projektstatus","category-uas","category-umwelt","tag-ai","tag-sml"],"_links":{"self":[{"href":"https:\/\/forschung.fh-kaernten.at\/siena\/wp-json\/wp\/v2\/posts\/449111","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/forschung.fh-kaernten.at\/siena\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/forschung.fh-kaernten.at\/siena\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/forschung.fh-kaernten.at\/siena\/wp-json\/wp\/v2\/users\/172"}],"replies":[{"embeddable":true,"href":"https:\/\/forschung.fh-kaernten.at\/siena\/wp-json\/wp\/v2\/comments?post=449111"}],"version-history":[{"count":5,"href":"https:\/\/forschung.fh-kaernten.at\/siena\/wp-json\/wp\/v2\/posts\/449111\/revisions"}],"predecessor-version":[{"id":449183,"href":"https:\/\/forschung.fh-kaernten.at\/siena\/wp-json\/wp\/v2\/posts\/449111\/revisions\/449183"}],"wp:attachment":[{"href":"https:\/\/forschung.fh-kaernten.at\/siena\/wp-json\/wp\/v2\/media?parent=449111"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/forschung.fh-kaernten.at\/siena\/wp-json\/wp\/v2\/categories?post=449111"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/forschung.fh-kaernten.at\/siena\/wp-json\/wp\/v2\/tags?post=449111"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}