PATENT CLAIM ANALYSIS

Application Number: 16088546
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-04
Patent Classification: ["340", "937000"]

Abstract:
A vehicle model identification system includes an imaging device, a display device, a vehicle model identification device, and a bus that connects therebetween, and the vehicle model identification device includes an input device, a storage device, and a processor. A user performs a search with the input device, and the processor causes the display device to display a first vehicle image list, a vehicle image, and a reference image according to a first rule from the search condition. The user refers to the reference image, examines a feature of a target vehicle model, and specifies a partial region which is a feature. The processor acquires partial specification information of the specified partial region, searches for the target vehicle model based on a second rule, and displays a second vehicle image list and the vehicle image on the display device.

Claim (Index 4):
The vehicle model identification device of  claim 2 ,\n wherein the first rule is a rule of using a score obtained by evenly weighting all partial regions of a front image in the vehicle image, and the second rule is a rule of increasing the weight of the score of at least one partial region included in the front image as compared to the weights of the scores of the other partial regions included in the front image.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 97.0
- Lexical Diversity: 2.73684
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15820499', '11423683', '14747189', '14972851', '15021529']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.704042976156011
- 35 USC 102 Novelty (BERT): 0.4715197273513878
- Combined Prediction Score: 0.6807906512755487
- Mean Citation Score: 147.82419399999995
- Max Citation Score: 152.05566000000005
- Similarity Product: 117.04490758255363

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

Dataset: test