PATENT CLAIM ANALYSIS

Application Number: 16149023
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["348", "043000"]

Abstract:
Using the same image sensor to capture a two-dimensional (2D) image and three-dimensional (3D) depth measurements for a 3D object. A laser point-scans the surface of the object with light spots, which are detected by a pixel array in the image sensor to generate the 3D depth profile of the object using triangulation. Each row of pixels in the pixel array forms an epipolar line of the corresponding laser scan line. Timestamping provides a correspondence between the pixel location of a captured light spot and the respective scan angle of the laser to remove any ambiguity in triangulation. An Analog-to-Digital Converter (ADC) in the image sensor operates as a Time-to-Digital (TDC) converter to generate timestamps. A timestamp calibration circuit is provided on-board to record the propagation delay of each column of pixels in the pixel array and to provide necessary corrections to the timestamp values generated during 3D depth measurements.

Claim (Index 16):
The image sensor unit of  claim 15 , wherein each corresponding ADC unit records a first timing instant when the corresponding calibration pixel is activated to generate the calibration output and records a second timing instant when the calibration output reaches a predetermined threshold; and\n wherein the calibration unit is further coupled to a processing unit and the processing unit subtracts each first timing instant from the second timing instant to generate a column-specific correction value for the corresponding column.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 97.0
- Lexical Diversity: 1.875
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14973709', '14989716', '14842822', '15225816', '14842825']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6575937132341708
- 35 USC 102 Novelty (BERT): 0.5476510949787071
- Combined Prediction Score: 0.6465994514086245
- Mean Citation Score: 340.217974
- Max Citation Score: 394.67285
- Similarity Product: 306.20754151479304

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