PATENT CLAIM ANALYSIS

Application Number: 15862875
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["702", "185000"]

Abstract:
A camera abnormality cause estimation system for estimating the causes of abnormalities in a camera in a production system in which the camera controls a robot. The production system includes a robot, a camera that detects visual information of the robot or the surrounding thereof, and a controller that controls the robot based on an image signal obtained by the camera. The camera abnormality cause estimation system estimates the causes of abnormalities in the camera and includes an environment information acquisition unit that acquires environment information of the camera, and an abnormality cause estimation unit that estimates a probability that each of a plurality of predetermined abnormality cause items is the cause of an abnormality in the camera for the respective abnormality cause items using the environment information acquired by the environment information acquisition means and displays the estimated probability on a display unit for the respective abnormality cause items.

Claim (Index 1):
A visual sensor abnormality cause estimation system for estimating causes of abnormalities in a visual sensor in a production system including a production device, the visual sensor that detects visual information on the production device or a surrounding thereof, and a controller that controls the production device on the basis of the visual information obtained by the visual sensor, the visual sensor abnormality cause estimation system comprising:\n an environment information acquisition means that acquires environment information of the visual sensor; and an abnormality cause estimation means that estimates a strength of correlation between an abnormality in the visual sensor and each of a plurality of predetermined abnormality cause items using the environment information acquired by the environment information acquisition means and displays the estimated strength of correlation on a display means for the respective abnormality cause items.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 2.78571
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12543902', '10986781', '11020729', '10859482', '13377242']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1967709537266171
- 35 USC 102 Novelty (BERT): 0.4514920623600915
- Combined Prediction Score: 0.2222430645899646
- Mean Citation Score: 138.697474
- Max Citation Score: 149.04709
- Similarity Product: 121.09104163965344

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

Dataset: test