PATENT CLAIM ANALYSIS

Application Number: 15885656
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-08
Patent Classification: ["705", "028000"]

Abstract:
Systems and methods for managing visual product placement. A user computing device may have trained machine learning models to detect a shelf and a target product. A shelf may be detected by a computing device with a machine learning model, and the scope of the shelf may be divided into a number of small boxes, each corresponding to a product on the shelf. A first target product and its actual placement information may be detected with a machine learning model. The actual placement information may be compared with a set of requirements for visual placement of the first target product on the shelf. Deviation and adjustment to correct the deviation may be determined, and the adjustment may be displayed in an AR environment.

Claim (Index 2):
The method of  claim 1 , further comprising: when the actual product placement information of the first target product and the set of requirements for displaying the first target product on the shelf do not match, determining an adjustment to correct a deviation.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.23729
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15464777', '15471813', '13943602', '15144041', '14466615']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0970411981887215
- 35 USC 102 Novelty (BERT): 0.4674557432508157
- Combined Prediction Score: 0.1340826526949309
- Mean Citation Score: 119.457755
- Max Citation Score: 125.740524
- Similarity Product: 87.01375064636422

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