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 1):
A computer-implemented method for managing visual product placement, the method comprising:\n obtaining a real-time image of a place with a camera in a local computing device; detecting a shelf in the real-time image of the place by a visual product placement controller with a first machine learning model stored in the local computing device; dividing an image of the shelf into a plurality of small boxes with the visual product placement controller in the local computing device, wherein each of the small boxes corresponds to an image of a product on the shelf; detecting an image of a first target product in the plurality of small boxes by the visual product placement controller with a second machine learning model stored in the local computing device; and comparing actual product placement information of the first target product with a set of contractual planogram requirements for displaying the first target product on the shelf with the visual product placement controller in the local computing device.

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): 0.0966476610994961
- 35 USC 102 Novelty (BERT): 0.4715580919174336
- Combined Prediction Score: 0.1341387041812898
- Mean Citation Score: 119.457755
- Max Citation Score: 125.740524
- Similarity Product: 84.30650815277767

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