{"id":2976,"date":"2026-05-27T13:00:52","date_gmt":"2026-05-27T11:00:52","guid":{"rendered":"https:\/\/photonfocus.dev40.econsor-programming.de\/?post_type=industrien&p=2976"},"modified":"2026-06-26T13:44:54","modified_gmt":"2026-06-26T11:44:54","slug":"qualitaetskontrolle","status":"publish","type":"industrien","link":"https:\/\/photonfocus.dev40.econsor-programming.de\/en\/industrien\/nahrungsmittel\/qualitaetskontrolle\/","title":{"rendered":"Qualit\u00e4tskontrolle"},"content":{"rendered":"\n
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F\u00fcr mehr Lebensmittelsicherheit: Qualit\u00e4tskontrolle mit Embedded Vision<\/h1>\n\n\n\n


Nussschalen im M\u00fcsli, Steinchen im Vollkornbrot oder F\u00e4ulnis an Obst und Gem\u00fcse:<\/strong> Solche Verunreinigungen und Sch\u00e4den<\/strong> gilt es schon in der Produktion von Lebensmitteln<\/strong> zu erkennen und auszusortieren, bevor sie in der Verpackung oder beim Verbraucher landen<\/strong>. Das \u00fcbernehmen Embedded\u2011Vision\u2011Systeme von Photonfocus<\/strong>. Sie k\u00f6nnen vollautomatisch in die Produktionslinie integriert<\/strong> werden oder \u00fcbernehmen die Qualit\u00e4tskontrolle als alleinstehende Anwendungen mit Onboard\u2011Datenverarbeitung<\/strong>.
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\"Qualit\u00e4tskontrolle<\/figure>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n
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Besonders geeignet sind L\u00f6sungen mit Hyperspektral\u2011Imaging (HSI) und SWIR\u2011Technologie<\/strong>. Mit diesen hochaufl\u00f6senden Bilddaten<\/strong> k\u00f6nnen Verunreinigungen durch Fremdk\u00f6rper, Besch\u00e4digungen sowie Pilze und Sporen erkannt werden<\/strong>, die mit blo\u00dfem Auge oder herk\u00f6mmlichen Aufnahmen mit sichtbarem Licht nicht wahrnehmbar sind<\/strong>. Das sorgt f\u00fcr eine h\u00f6here Qualit\u00e4t der Produkte und l\u00e4ngere Lagerf\u00e4higkeit<\/strong>, wenn besch\u00e4digte oder belastete Lebensmittel fr\u00fchzeitig von der einwandfreien Ware getrennt werden<\/strong>. Photonfocus entwickelt Sensoren und Embedded\u2011Vision\u2011Systeme<\/strong> f\u00fcr die einfache Integration in Anlagen<\/strong> oder ready\u2011to\u2011use\u2011L\u00f6sungen<\/strong>.<\/p>\n<\/div>\n\n\n\n

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Empfohlene Kameraeigenschaften<\/h3>\n\n\n\n

Die folgenden Kameraeigenschaften sind f\u00fcr diese Anwendung typischerweise erforderlich:<\/p>\n\n\n\n

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Early Stress Detection<\/h3>\n\n\n\n

Erkennt Pflanzenstress, Sch\u00e4dlingsbefall und Bodenver\u00e4nderungen fr\u00fchzeitig.<\/p>\n<\/div>\n\n\n\n

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Hyperspectral Imaging<\/h3>\n\n\n\n

Macht Unterschiede sichtbar, die im sichtbaren Spektrum verborgen bleiben.<\/p>\n<\/div>\n\n\n\n

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High Spectral Sensitivity<\/h3>\n\n\n\n

Pr\u00e4zise Erfassung feinster spektraler Unterschiede f\u00fcr zuverl\u00e4ssige Analysen.<\/p>\n<\/div>\n\n\n\n

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Drone & Outdoor Ready<\/h3>\n\n\n\n

Optimiert f\u00fcr mobile Plattformen und wechselnde Umweltbedingungen.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Passende Kameras f\u00fcr diese Anwendung<\/h2>\n\n\n\n
\nKameras anzeigen<\/a>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Automatisierte Qualit\u00e4tskontrolle f\u00fcr Lebensmittel: Vision\u2011Systeme von Photonfocus sorgen f\u00fcr h\u00f6chste Pr\u00e4zision, Sicherheit und Effizienz in der Produktion.<\/p>\n","protected":false},"featured_media":3152,"parent":2797,"menu_order":1,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"industrien-kategorie":[151,171],"class_list":["post-2976","industrien","type-industrien","status-publish","has-post-thumbnail","hentry","industrien-kategorie-nahrungsmittel","industrien-kategorie-qualitaetspruefung","infinite-scroll-item","no-featured-image-padding"],"acf":[],"yoast_head":"\nQualit\u00e4tskontrolle in der Lebensmittelindustrie | Vision\u2011Systeme | Photonfocus<\/title>\n<meta name=\"description\" content=\"Automatisierte Qualit\u00e4tskontrolle f\u00fcr Lebensmittel: Vision\u2011Systeme von Photonfocus sorgen f\u00fcr h\u00f6chste Pr\u00e4zision, Sicherheit und Effizienz in der Produktion.\" 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