PATENT CLAIM ANALYSIS

Application Number: 16133324
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["348", "142000"]

Abstract:
Described are machine vision systems and methods for simultaneous kinematic and hand-eye calibration. A machine vision system includes a robot or motion stage and a camera in communication with a control system. The control system is configured to move the robot or motion stage to poses, and for each pose: capture an image of calibration target features and robot joint angles or motion stage encoder counts. The control system is configured to obtain initial values for robot or motion stage calibration parameters, and determine initial values for hand-eye calibration parameters based on the initial values for the robot or motion stage calibration parameters, the image, and joint angles or encoder counts. The control system is configured to determine final values for the hand-eye calibration parameters and robot or motion stage calibration parameters by refining the hand-eye calibration parameters and robot or motion stage calibration parameters to minimize a cost function.

Claim (Index 11):
The method of  claim 10 , wherein the cost function measures, for each pose of the plurality of poses, a difference between an observed location of a feature in the image captured for the pose and an expected location of the feature, the expected location determined based on a first plurality of values for the plurality of robot calibration parameters, a second plurality of values for the plurality of hand-eye calibration parameters, and the plurality of robot joint angles captured for the pose.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 97.0
- Lexical Diversity: 2.66667
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15278156', '12780119', '15223436', '11666187', '14132031']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6037973076241311
- 35 USC 102 Novelty (BERT): 0.5792986214764516
- Combined Prediction Score: 0.6013474390093632
- Mean Citation Score: 261.422548
- Max Citation Score: 453.4716
- Similarity Product: 432.42329621300695

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