Optical navigation device which can determine dirtiness level of cover or fix multi light pattern issue

The system performs self-diagnosis by automatically detecting cover dirtiness through optical sensors and processing circuits, eliminating the need for user intervention. The device monitors its own cover condition and can trigger cleaning operations autonomously, allowing users to benefit from maintained navigation accuracy without manual checking or cleaning.

The system continuously monitors cover condition using optical sensors that detect light transmission changes caused by dirt accumulation. This feedback loop provides real-time information about cover cleanliness to the processing circuit, which can then determine when cleaning is needed to maintain navigation accuracy, resolving the contradiction between user convenience and measurement precision.

Each machine is equipped with unique light pattern characteristics that allow local identification. The optical sensors can distinguish between different light patterns emitted by different machines, enabling each machine to correctly interpret light reflections from its own emissions while ignoring or filtering out patterns from other machines, thus maintaining distance calculation accuracy in multi-machine environments.

The system uses distinct light patterns (analogous to color coding) for different machines. Each machine emits a unique light pattern that can be identified by optical sensors, allowing multiple machines to operate simultaneously without interference. The processing circuit recognizes its own light pattern reflections and distinguishes them from patterns of other machines, preserving measurement precision while enabling increased productivity through multiple units.