Short-wave infrared (SWIR) cameras open up numerous possibilities for machine vision solutions, since they detect invisible product fl aws as well as desired characteristics: In contrast to mainstream machine vision cameras with CCD or CMOS sensors, most SWIR cameras have an InGaAs (Indium Gallium Arsenide) sensor and thus detect wavelengths between 900 nm and 1,700 nm. These wavelengths are invisible to the human eye and CCD or CMOS cameras. Thus, SWIR cameras detect the invisible, for example, water accumulations inside fruits or defects within silicon products.

This document gives examples of SWIR camera applications in several fi elds such as the semiconductor industry, recycling, metal and glass inspection, and airborne remote sensing. Since some SWIR cameras are mainly designed for use in research facilities, not only the image quality is crucial for industrial applications, but also an industrial rugged design as well as camera features commonly used in machine vision applications.

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