DSL189A-NIR-F2.0 Superfisheye-Objektiv ohne IR-Sperrfilter
Super-Fischaugenobjektiv mit einer Brennweite von 1,42 mm ohne IR-Sperrfilter für NIR-empfindliche und HDR-Bildgebungsanwendungen in Industrie und Wissenschaft.
Produktübersicht
Superfisheye-Objektiv für 1/2,7-Zoll-Sensoren mit einem Sichtfeld von 217 Grad und ohne IR-Sperrfilter für eine optimale Bildqualität im Nahinfrarotbereich.
Das DSL189A-NIR-F2.0 von Sunex ist ein Super-Fischaugenobjektiv, das für 1/2,7-Zoll-Sensoren entwickelt wurde. Es bietet ein beeindruckendes Sichtfeld von 217 Grad und ist für Bildgebungsanwendungen im nahen Infrarotbereich (NIR) optimiert. Mit einer effektiven Brennweite von 1,42 mm und einer Blende von F/2,0 liefert dieses Objektiv außergewöhnlich gute Ergebnisse bei HDR-Anwendungen, bei denen die Infrarotempfindlichkeit entscheidend ist. Da kein IR-Sperrfilter vorhanden ist, kann das Objektiv detailreichere NIR-Bilder aufnehmen, wodurch es sich für wissenschaftliche, sicherheitstechnische und industrielle Anwendungen eignet. Mit seinem Aluminiumgehäuse mit M12x0,5-Gewinde gewährleistet dieses Objektiv Langlebigkeit und Kompatibilität mit einer Vielzahl von Kamerasystemen. Es ist für Sensoren mit bis zu 2 MP und einem Bildkreis von 5,6 mm ausgelegt und stellt somit eine hervorragende Wahl für NIR-empfindliche Bildgebungsumgebungen dar, die ein breites Sichtfeld und hohe Bildschärfe erfordern.
Produkt Spezifikationen
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Blende - 2
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![Back Focal Length [mm]](data:image/svg+xml;base64,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)
Back Focal Length [mm] - 3.2
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![Verzerrung [%]](data:image/svg+xml;base64,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)
Verzerrung [%] - 2
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Filter Gewinde - M12x0.5
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![Focal Length [mm]](data:image/svg+xml;base64,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)
Focal Length [mm] - 1.42
- Fokus Typ
- Fixed focal
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![Field of View Diagonal [°]](data:image/svg+xml;base64,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)
Field of View Diagonal [°] - 217
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Sichtfeld Horizontal [°]
- 195
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Field of View Vertical [°]
- 16.9
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![Image Circle [mm]](data:image/svg+xml;base64,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)
Image Circle [mm] - 5.6
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Filter Typ - no IR-cut filter
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Merkmale des Objektivs - HDR, Superfisheye
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Hersteller - Sunex
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Material Fass - Aluminium
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Material Linsen - Hybrid
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![Max. Chief Ray Angle [°]](data:image/svg+xml;base64,<?xml version="1.0" encoding="UTF-8" standalone="no"?>
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Max. Chief Ray Angle [°] - 16.8
-
Berg - M12
-
Produkttyp - Miniature Lens
-
![Auflösung [MP]](data:image/svg+xml;base64,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)
Auflösung [MP] - 2
-
Sensor Größe - 1/2.7 inch
-
Ziel Anwendung - Automotive, Computer Vision and Robotics, Sicherheit
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Ziel-Sensor - AR0821
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![Gesamtlänge der Strecke [mm]](data:image/svg+xml;base64,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)
Gesamtlänge der Strecke [mm] - 17
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