PATENT CLAIM ANALYSIS

Application Number: 15914018
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["717", "169000"]

Abstract:
Systems and methods for intelligently updating a software configuration of an appliance are provided. In particular, the systems and methods include features for performing software updates based on the unique identity or fingerprint of one or more control boards present in the appliance. Further, methods for tracking appliances with unknown software configurations are also provided.

Claim (Index 17):
The system of  claim 12 , wherein if the unique image identifiers do not match the identifying characteristics associated with the one or more update images of any of the plurality of candidate payloads, the programming entity is further configured to:\n compare the unique image identifiers with a plurality of configuration identifiers stored in a master configuration library; determine whether the unique image identifiers match one of the plurality of configuration identifiers stored in the master configuration library based at least in part on the comparison between the unique image identifiers and the plurality of configuration identifiers; and earmark the unique image identifiers of the appliance that do not match any of the plurality of configuration identifiers.

Metadata:
- Claim Count in Document: 42.0
- Percentile: 90.0
- Lexical Diversity: 1.39535
- Patent Class: 717.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15151553', '11571449', '12256513', '11571456', '11953595']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4026372571328643
- 35 USC 102 Novelty (BERT): 0.5190937573860366
- Combined Prediction Score: 0.4142829071581816
- Mean Citation Score: 180.935542
- Max Citation Score: 249.46855
- Similarity Product: 162.7359037800938

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