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In addition to signal strength and distance calculations, our system performs visual reference verification. By comparing the real-time camera view with stored images, we can further refine location estimates.
This step is particularly useful in distinguishing areas with similar signal profiles, which could otherwise lead to mispositioning.
To ensure high positioning accuracy, our system combines three factors: signal strength similarity, AR-based distance validation, and visual reference matching.
This multi-dimensional fingerprint matching process ensures that inconsistencies in one data source are corrected by the other two, resulting in a more reliable indoor positioning system.
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