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 8):
The method of  claim 1 , wherein the one or more first geometric sensors is a plurality of first geometric sensors positioned to scan the workpieces in a first scan zone, each of said portions of the first set of profile data is a portion of profile data obtained by a corresponding one of the first geometric sensors, and the first one or more offset values is a plurality of first offset values,\n wherein determining the one or more first offset values includes\n aligning the first set of profile data to the reference set of profile data, \n aligning the portions of profile data to the reference set of profile data, \n determining an offset of each said portion of profile data relative to the reference set of profile data based on the alignment, wherein each of the offsets includes an X-Y offset and/or a rotational offset, and \n storing the determined X-Y offsets in a corresponding plurality of buffers as the offset values, such that each of the buffers includes the first offset value for a corresponding one of the first geometric sensors.

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): 0.1978242813841836
- 35 USC 102 Novelty (BERT): 0.4939528103909004
- Combined Prediction Score: 0.2274371342848553
- Mean Citation Score: 144.75549800000005
- Max Citation Score: 151.79324
- Similarity Product: 89.0163560185194

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