Image Acquisition
Digital optical sensors capture image data one horizontal row at a time while linen fabric moves continuously beneath a fixed array of light-sensitive pixels to ensure uniform surface inspection during high-speed textile manufacturing. A line-scan camera functions by integrating a single high-density row of sensors across a calibrated field of view. Sensors convert incoming light intensity into proportional electrical signals that form a continuous digital stream of pixel values.
Synchronized hardware triggers the capture process based on the linear displacement of the moving material. High-frequency clocks coordinate these snapshots to produce a two-dimensional composite image without geometric distortion or spatial gaps. Precise lighting geometry prevents shadowing behind protruding flax fibres or uneven weave patterns.
This detection method avoids the framing limits found in area-based scanning technologies because the length of the final image depends solely on the duration of the movement. Operators verify the output through the quality control record stored after the fabric leaves the finishing line.
Resolution Calibration
Spatial resolution across the width of the machine depends on the physical pixel density of the sensor and the magnification of the lens assembly. Engineers define this parameter by measuring the smallest visible irregularity on the linen surface against the total field of coverage. A smaller pixel size allows for the detection of minute contaminants or loose threads that might pass unnoticed by traditional sensors.
The sampling rate must match the transport speed of the fabric to prevent image elongation or compression in the final data file. If the movement acceleration changes, the control system adjusts the exposure timing to maintain consistency in the resulting measurements.
Output Verification
Final fabric grading relies on the digital records generated by these sensors to compare the actual product against established mill standards. Any deviation in yarn consistency or weaving pattern triggers an automated alert for manual review or immediate repair. The resulting data logs form the basis for internal audits of fibre quality and manufacturing efficiency.
These metrics determine if the lot meets the buyer acceptance criteria for export readiness or requires reprocessing before shipment. Continuous monitoring provides a reliable evidence base for final product certification.
