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Automated Seal Integrity Inspection with FocalSpec 3D Line Confocal Sensors
Industry Applications

Line confocal imaging is a powerful method for automated medical seal verification. This technology develops high resolution 3D and 2D scan data of the internal structure of the blister pack layers and pouches commonly used in medical packaging. With multi-layer data acquired from inline scans of the sealing regions, defect detection software can isolate contamination and air gaps, flag incomplete sealing, and detect defects such as wrinkles and burn marks.

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Inline Roughness Measurement of Moving Surfaces with FocalSpec 3D Line Confocal Sensors
Industry Applications

FocalSpec® sensors offer a unique solution for inline roughness characterization of moving surfaces that allows manufacturers to achieve 100% inline quality control with laboratory accuracy. These sensors are easy to integrate into existing manufacturing lines, and deliver continuous non-contact, ultra-fast scanning and analysis of surface microtopography with real-time reporting for a range of automated production processes.

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INDUSTRYAPP_OLED_Display_Inspection_CN_WEB
Industry Applications
A combination of Gocator® 3D Smart Sensors and FocalSpec® 3D Line Confocal Sensors provides a fast, accurate, and cost-effective solution for OLED display inspection applications. By networking multiple Gocator® or FocalSpec® sensors, engineers are able to build an inline system for high throughput assembly verification.
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Measuring Printed, Flexible, and Hybrid Electronics with FocalSpec 3D Line Confocal Sensors
Industry Applications
FocalSpec Line Confocal Imaging (LCI) technology is optimal for measuring printed electronics, because it combines 3D topography, tomography, and 2D intensity imaging in one sensor.
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Transparent Material Inspection with FocalSpec 3D Line Confocal Sensors
Industry Applications
Line Confocal Sensors are ideal for transparent material inspection and quality control. One of the key applications is capturing surfaces of mobile device displays and detecting layers inside and under the screen glass.
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