Mark Sensor — Causes of Misclassification and Solutions

With rapid automation development, mark sensors are widely applied to detect color information for efficient production. Misclassification can occur due to multiple factors; here we analyze common causes and remedies.

1. Environmental factors

• Lighting changes: variations in illumination (sunlight vs. shadow) alter perceived color reflectance.

• Background interference: similar background colors can confuse detection.

• Temperature: extreme temperatures may affect sensor behavior.

2. Sensor limitations

• Resolution limits: lower-resolution sensors have narrower detectable color ranges.

• Calibration issues: improper or drifting calibration causes errors.

• Surface effects: glossy surfaces or other optical artifacts can mislead the sensor.

3. Object characteristics

• Surface gloss and texture influence reflection.

• Shape and patterns may cause varying reflections at different angles.

• Color changes due to aging or oxidation can affect detection.

Solutions

• Stabilize lighting and minimize background interference.

• Use higher-resolution sensors and regular calibration.

• Combine multiple sensor types for robust detection.

Understanding these factors and applying appropriate measures will reduce misclassification and improve system reliability.