Numbers game If light manipulation is a key aspect of the inspection operation, it is not the only one. Equally critical are the imaging devices used to capture the visual information, and the data processing operations that then interpret those signals and yield concrete results. ‘Optical inspection today represents
a huge market for industrial machine vision across different industries,’ said Bertrand Mercier BU Glass vice president at Germany’s Isra Vision. ‘But glass inspection poses its own significant challenges.’ Correctly identifying glass defects from
the signals captured by a machine vision platform, like the ones developed by Isra Vision, involves the system in a sequence of decisions: distinguishing between a real defect and some other class of incoming signal; classifying the severity of the defect against the predetermined requirements of a particular application; and assessing precisely where those defects are located. Making these fine distinctions might
require different illumination angles, perhaps with a high-speed switchable LED
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‘Tin defects down to a few microns on coated glass can cause functional issues. And resolution… needs to be a factor of 10 better’
as the single light source and using it to illuminate multiple individual views. But this in turn has implications for the quantity of data that must be processed. ‘We have to face a huge quantity of data
and processing it can only be done today with (FPGA) processors,’ commented Mercier. Isra Vision developed its own FPGA
boards, as Mercier said there was nothing on the market that fulfilled the needs of the company’s multi-view operation. In 2019, Isra Vision acquired Photonfocus, a Swiss specialist developer of CMOS image sensors, OEM camera modules and industrial cameras. ‘Tese steps are needed
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