PATENT CLAIM ANALYSIS

Application Number: 16182569
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["702", "104000"]

Abstract:
The present disclosure describes methods and systems for virtually calibrating geometric sensors with overlapping fields of view. In some embodiments, a geometric sensor may be virtually calibrated by applying a correction value to profile data obtained by the geometric sensor to generate adjusted profile data. The correction factor may be determined based at least in part on X-Y offsets and/or rotational offsets of prior profile data obtained by the geometric sensor relative to corresponding profile data obtained by a reference geometric sensor, and may be recalculated or updated as new sets of profile data are obtained. The adjusted profile data may be used in place of the original profile data in various data processing operations to functionally offset a positional error of the geometric sensor.

Claim (Index 15):
The method of  claim 14 , wherein generating the alert includes\n comparing the correction value to a threshold value, determining, based on the comparison, whether the correction value exceeds the threshold value, and in response to determining that the correction value exceeds the threshold value, sending a command to an output device to generate an alert message to thereby alert an operator of a misalignment of the first geometric sensor relative to the second geometric sensor.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 1.84507
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['11873090', '10447194', '13529549', '15426047', '11464785']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.197064219421518
- 35 USC 102 Novelty (BERT): 0.4984421304695262
- Combined Prediction Score: 0.2272020105263189
- Mean Citation Score: 144.75549800000005
- Max Citation Score: 151.79324
- Similarity Product: 85.03123988978386

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test