Linescan Camera For Sorting And Inspection Tasks

Stemmer Imaging is offering JAI's LQ-200CL prism-based 4-CCD colour linescan camera, which can be used for fruit and vegetable sorting and the surface inspection of flat panels and displays. Capable of the simultaneous imaging of near-infrared (NIR), red , blue (B) and green (G) light through four independent channels but the same optical path, the LQ-200CL enables the identification of an even wider set of defects (including subsurface imaging) on inspected objects.

NIR imaging allows features below the surface of an object to be viewed, thus providing different information to the RGB channels and revealing imperfections that the human eye cannot see. Further linescan applications include food inspection, web inspection (wood, textile, paper and glass), tile inspection, 2D and 3D print inspection and PCB inspection. The camera's dichroic prism-block technology splits the incoming light into the four non-overlapping spectral band onto four separate CCD sensors with excellent pixel-to-pixel alignment, ensuring that the R, G, B and NIR pixels see exactly the same point on the object at all times.

This produces high-quality and perfectly aligned linescan images independent of the viewing angle to the inspected object, independent of variations on conveyer belt speed and independent of whether the object has a wavy or curved texture. This precise image alignment and colour registration makes inspection systems featuring these cameras faster and easier for end users to set up, calibrate and maintain, according to Stemmer. Each of the four CCD sensors provides 2,048 linear pixels with a pixel size of a 14 x 14um square.

The camera runs at a maximum scan rate of 19,048 lines per second with a 40MHz pixel clock, delivering a high signal-to-noise ratio of 58dB. Built-in pre-processing functions include flat-field correction and gamma/gain correction, which, together with the electronic shutter can be set individually for the R, B, G and NIR channels. The gamma/gain correction function also allows users to take full advantage of the sensors' dynamic range to optimise the image.

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