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 1):
A stock monitoring system comprising\n a. a shelf monitor comprising an array of sensors; said array of sensors substantially disposed along a surface of said shelf monitor, said shelf monitor in proximity to a stocking shelf  100 ; said sensors facing a region for placing shelved stock  100 C on said stocking shelf  100 ; and b. a CPU module comprising a processor and a non-transitory computer readable medium; said CPU module configured to receive outputs of said sensors in said array of sensors;\n wherein said CPU module is further configured to\n i. execute a detection algorithm to detect a status change event of said shelved stock  100 C based on said outputs of said sensors in said array; and \n ii. execute a training algorithm to calibrate parameters of said detection algorithm.

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): 0.5519315386972509
- 35 USC 102 Novelty (BERT): 0.4622234075091795
- Combined Prediction Score: 0.5429607255784438
- Mean Citation Score: 135.550742
- Max Citation Score: 141.31335
- Similarity Product: 96.54224028411808

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