PATENT CLAIM ANALYSIS

Application Number: 16296264
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["356", "609000"]

Abstract:
To provide a confocal displacement sensor capable of easily and accurately measuring displacement of a measurement object. Light having a chromatic aberration is converged by a lens unit  220  and irradiated on a measurement object S from a measurement head  200 . Light having a wavelength reflected while focusing on the surface of the measurement object S passes through the optical fiber  314  in the measurement head  200 . The light passed through the optical fiber  314  is guided to a spectral section  130  in a processing device  100  and spectrally dispersed. In the processing device  100 , the light spectrally dispersed by the spectral section  130  is received by a light receiving section  140 . A light reception signal output from the light receiving section  140  is acquired by a control section  152 . The control section  152  measures displacement on the basis of the acquired light reception signal and gives the light reception signal to a PC  600  on the outside. A CPU  601  of the PC  600  causes a display section  700  to display, as change information, a change from a light reception signal acquired at a point in time before a present point in time to a light reception signal acquired at the present point in time.

Claim (Index 22):
The confocal displacement sensor according to  claim 17 , wherein the change information is a waveform of the light reception signal and a numerical value indicating the signal intensity at the present point in time.

Metadata:
- Claim Count in Document: 77.0
- Percentile: 99.0
- Lexical Diversity: 2.49425
- Patent Class: 356.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15989216', '15989215', '16282333', '15981925', '15981924']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7465549620437245
- 35 USC 102 Novelty (BERT): 0.6087507972836991
- Combined Prediction Score: 0.732774545567722
- Mean Citation Score: 414.75614800000005
- Max Citation Score: 541.0998
- Similarity Product: 486.3338324230313

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

Dataset: test