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Optical Fiber Defect Detection via Robotic Vision

This automated inspection project aimed to detect defects in optical fibers right after their creation. To achieve this, two cameras continuously and in real-time inspected the fiber as it exited the stretching tower. The application specifically measured the concentricity percentage of the cladding and coating to identify potential errors.

The system was based on LabVIEW software, paired with the NI Vision Development Module. It captured several images per second and analyzed each frame to detect possible defects. Finally, the inspection was carried out according to the parameters configured by the operator.

Optical Fiber Inspection

The system also records each detected error in a file and marks the fiber by spraying red paint on it. This allows the operator to examine each defect individually and remove the faulty fiber if necessary. Additionally, the system collects statistics for each inspection, which are particularly useful for identifying potential issues related to the fiber formation tower used in the manufacturing process.

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