Error Statistics
Machine sensitivity settings determine the frequency at which acceptable material is mistakenly discarded as contamination during high speed sorting. A high false rejection rate identifies the percentage of good lint lost to the waste bin because sensor thresholds are tuned too strictly. While the objective is 100 percent purity, over-calibration causes significant economic leakage.
Correct balance ensures consistent quality without unnecessary bulk reduction.
Economic Burden
Financial impact scales with the price of the raw cotton and the volume of the mill’s daily throughput. Every percentage point in the false rejection rate represents premium fibre that has been moved into the lower value waste stream. Operators must quantify the value of lost material against the cost of a defective final yarn.
Detection Reliability
Variations in cotton color or fluctuations in ambient dust levels inside the ductwork can trigger sensor errors. When technicians lower the sensitivity to reduce the false rejection rate, the probability of plastic bits passing through to the spinner increases. Regular cleaning of camera lenses helps keep the machine within defined limits.
This avoids a shift in detection logic caused by dirt buildup on the glass. Automated recalibration software monitors the waste volume and alerts the controller if the removal rate spikes.
Metric Verification
Manual inspection of the waste collector is needed to verify if the ejected portions truly contain trash. This check confirms the scanner performance.
