PATENT CLAIM ANALYSIS

Application Number: 16093652
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-03
Patent Classification: ["235", "385000"]

Abstract:
A system and method for monitoring stocked shelves is disclosed. A shelf monitor comprising an array of sensors id deployed in proximity to a stocking shelf and so that the sensors face a region on the stocking shelf containing shelved goods. A CPU module is configured to receive outputs from the sensors and execute a detection algorithm to detect a change event in the shelved goods and an algorithm to train the detection algorithm. Shelf monitors can be used in multiple numbers; a master shelf among the shelf monitors serves to aggregate data and local control of the system. A master controller can establish communication with a cloud server, allowing many additional features such as integrating the shelf monitoring system with inventory and point-of-sale databased.

Claim (Index 11):
The stock monitoring system according to  claim 10 , wherein said LEDs are configured to perform functions selected from a group comprising: to help locate the shelf, as a product promotion, as a planogram verification, to verify connectivity and health status of modules in the electronics unit, to streamline QA processes, to send messages to communicate with humans, and to communicate with cameras.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 97.0
- Lexical Diversity: 1.67089
- Patent Class: 235.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12614029', '11500075', '14152644', '13657411', '11281283']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5475932880755657
- 35 USC 102 Novelty (BERT): 0.4784108601623641
- Combined Prediction Score: 0.5406750452842456
- Mean Citation Score: 135.550742
- Max Citation Score: 141.31335
- Similarity Product: 83.72739776811005

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

Dataset: test