PATENT CLAIM ANALYSIS

Application Number: 15776437
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["382", "100000"]

Abstract:
The present invention is to provide a computer system, and a method and a program for diagnosing an object that is capable to improve the diagnosis accuracy of an object. The computer system acquires a visible light image of an object that is taken by a camera, analyzes the acquired visible light image by comparing the acquired visible light image with a normal visible light image of the object, identifies the type of the object based on the result of the image analysis, identifies an abnormal part of the object based on the result of the image analysis, acquires environment data of the object, and diagnoses the status of the object based on the identified type, the identified abnormal part, and the acquired environment data.

Claim (Index 1):
A computer system comprising:\n an image acquisition unit that acquires a visible light image and an infrared image of an object that are taken by a camera; an image analysis unit that analyzes the acquired visible light image by comparing the acquired visible light image with a normal visible light image of the object; an object identification unit that identifies the type of the object based on the result of the image analysis; a first image processing unit that identifies areas corresponding to a plurality of predetermined parts of the object in the visible light image; a second image processing unit that identifies each of the areas in the infrared image that correspond to the respective identified areas in the visible light image; an abnormal part identification unit that identifies an abnormal part of the object based on the temperature of the identified area in the infrared image; an environment data acquisition unit that acquires environment data of the object; and a diagnosis unit that diagnoses the status of the object based on the identified type, the temperature of the identified abnormal part, and the acquired environment data.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 93.0
- Lexical Diversity: 2.7
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16492443', '16492416', '12470510', '15540065', '14030083']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3140737940170706
- 35 USC 102 Novelty (BERT): 0.4926634989246687
- Combined Prediction Score: 0.3319327645078304
- Mean Citation Score: 171.831058
- Max Citation Score: 230.69855
- Similarity Product: 167.27191004284026

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