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  • QS18 Expert

    Coaxial Clear Object Detection Sensor

    Fast. Reliable. Easy-to-Use.

    The polarized coaxial optical design ensures reliable detection of transparent, translucent, and opaque targets at any distance between the sensor and the reflector. The QS18 Expert Clear Object Detection Sensor works well in low contrast applications, such as the detection of PET bottles, glass containers, and shrink wrap. The sensor can also be used to detect optical surfaces such as: LCD panels with built in polarizing films, solar panels, and semiconductor wafers.

    QS18 Clear Object Detection Sensor

    QS18: Reliable Detection of Clear Objects at Any Distance

    QS18 Series Clear Object Detection Overview
    1 분  27 초 
    QS18 Sensor Features

    The QS18 Expert Coaxial Clear Object Detection sensor reliably detects clear and mirror-like surfaces. Featuring:

    • Response speed of 400 µs ON/OFF
    • Coaxial optics and small spot size for applications where space is limited
    • Banner's new ClearTracking algorithm, which compensates for dust build-up and ambient temperature changes

    Coaxial Optics Benefits

    Short Sensor to Reflector Distances

    Coaxial sensor design benefit: short distances
    Polarized coaxial optics are optimized to detect small changes in light, even in short distances.

    Sense Through Small Apertures

    Coaxial sensor design benefit: small apertures
    Detect narrow space between bottles and reduce spot size with an aperture.

    Precise Leading Edge Detection

    Coaxial sensor design benefit: positional accuracy
    The coaxial design results in higher positional accuracy for high performance shiny object sensing.

    Three User-Selectable Thresholds

    Optimize the sensor's performance to detect small changes in the amount of light received

    The QS18 reliably detects clear, translucent, or opaque objects. Coaxial optics enable reliable detection of targets to the face of the sensor with no dead zone. 

    8%
    Three User-Selectable Thresholds: 8%
    16%
    Three User-Selectable Thresholds: 16%
    32%
    Three User-Selectable Thresholds: 32%