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 6):
The visual sensor abnormality cause estimation system according to  claim 5 , wherein\n the environmental item includes vibration of a specific device installed around the visual sensor, a temperature of the specific device, and a brightness of the surrounding of the visual sensor.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 86.0
- Lexical Diversity: 2.78571
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12543902', '10986781', '11020729', '10859482', '13377242']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2089939545404995
- 35 USC 102 Novelty (BERT): 0.4940435880529341
- Combined Prediction Score: 0.237498917891743
- Mean Citation Score: 138.697474
- Max Citation Score: 149.04709
- Similarity Product: 86.30803683017015

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