PATENT CLAIM ANALYSIS

Application Number: 16269189
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-08
Patent Classification: ["705", "022000"]

Abstract:
A cloud-based radio frequency identification system and method for maintaining and providing users with part information for a plurality of parts are provided. The system includes a cloud platform server including a part database storing the part information. The cloud platform server communicates with at least one mobile device and send e-mail and text alerts associated with the part information and also provides the part information through an online website. The system includes a manufacturing network coupled to the cloud platform server. A plurality of manufacturing workstations are disposed at locations at which a plurality of operation steps are carried out and allow for at least one of automatic entry and manual entry of the part information. At least one radio frequency handheld scanner communicates with the cloud platform server through the manufacturing network and scans a radio frequency identification tag of each of the parts.

Claim (Index 16):
The method as set forth in  claim 6 , wherein the step of sending the dunnage to a quality control part review includes the steps of:\n determining whether a full part review is required; scanning one of a plurality of boxes in the dunnage using another of the at least one radio frequency handheld scanner in communication with the cloud platform server and updating the part database of the cloud platform server in response to determining a full part review is not required; determining whether the one of the plurality of boxes contains the correct parts based on the scan of the one of the plurality of boxes; checking another one of the plurality of boxes in the dunnage and returning to the step of scanning one of the plurality of boxes in the dunnage using another of the at least one radio frequency handheld scanner in communication with the cloud platform server in response to determining that the one of the plurality of boxes contains the correct parts; reviewing each of the plurality of parts in the one of the plurality of boxes in response in response to determining a full part review is required; determining whether one of the plurality of parts in the one of the plurality of boxes reviews as both good and of a type for the dunnage following the review of each of the plurality of parts in the one of the plurality of boxes; determining whether the one of the plurality of boxes is complete; returning to the step of reviewing each of the plurality of parts in the one of the plurality of boxes in response to determining that the one of the plurality of boxes is not complete; moving the one of the plurality of boxes to a radio frequency identification containment area to rescan and updating the part database of the cloud platform server in response to determining that the one of the plurality of boxes is complete; confirming that a count of the plurality of parts is correct; updating the part database of the cloud platform server with related new part information and box information and dunnage information for the one of the plurality of boxes by the quality control operator; determining whether all of the plurality of boxes of the dunnage have been verified; moving to the next of the plurality of boxes of the dunnage and returning to the step of determining whether a full part review is required in response to determining that all of the plurality of boxes of the dunnage have not been verified; and marking the dunnage as correct in the part database of the cloud platform server by the quality control operator in response to determining that all of the plurality of boxes of the dunnage have been verified.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 99.0
- Lexical Diversity: 2.17143
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10909186', '15707319', '14504132', '13894609', '16037391']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0926668824499062
- 35 USC 102 Novelty (BERT): 0.4885510372064915
- Combined Prediction Score: 0.1322552979255647
- Mean Citation Score: 123.16226100000002
- Max Citation Score: 126.4179
- Similarity Product: 75.30371025817395

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