PATENT CLAIM ANALYSIS

Application Number: 16200184
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["455", "456300"]

Abstract:
Embodiments of the present application disclose a map generation system and method. By scanning or processing an article in an article shelf, the technical solution of an embodiment of the present application may take as a position of the article a position of a handheld terminal at the time of the scanning or the processing, or take as the position of the article a position of a wireless apparatus corresponding to the scanned or processed article, to generate a navigation map according to the position of each article. The embodiment of the present application realizes the automatic generation of the map and improves the accuracy of drawing the map.

Claim (Index 7):
The system according to  claim 7 , wherein a plurality of the first class apparatuses is provided, the plurality of the first class apparatuses are arranged in an indoor preset area and are not positioned at the same straight line and the same plane;\n the second class apparatus is specifically arranged in each article shelf; the server-side takes as the position of the article the position of the second class apparatus corresponding to the scanned article specifically according to the scanning information.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 98.0
- Lexical Diversity: 2.34694
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15685698', '16036716', '15379470', '15566758', '10426947']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.711087544715103
- 35 USC 102 Novelty (BERT): 0.5458360174424515
- Combined Prediction Score: 0.6945623919878379
- Mean Citation Score: 239.131356
- Max Citation Score: 393.9244
- Similarity Product: 382.038071516943

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