PATENT CLAIM ANALYSIS

Application Number: 16005193
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["340", "572100"]

Abstract:
A system for detecting placement or misplacement of an object, comprising: a wireless tag; a first set of instructions which cause a first electronic device (“FED”) associated with the tag to automatically detect signals from the tag, determine a position of the FED, transmit the position and status to an external electronic device (“EED”) in response to the status indicating that the tag and the FED are within a predetermined range, and transmit the position and status to the EED in response to the status indicating that the tag and the FED are outside of the predetermined range; a second set of instructions which cause a second electronic device (“SED”) that is unassociated with the tag to automatically detect signals from the tag, determine a position of the SED, determine an identifier for the tag using the signals, and transmit the position and the identifier to the EED.

Claim (Index 12):
The software module of  claim 10 , wherein the instructions, when executed by the one or more processors of each electronic device, further cause the one or more processors to activate a user interface of the electronic device in response to determining that a status for one or more of the wireless tags has changed.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 94.0
- Lexical Diversity: 2.85
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14617240', '15156726', '13754607', '11533426', '12347785']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7674318499211152
- 35 USC 102 Novelty (BERT): 0.5603251062998161
- Combined Prediction Score: 0.7467211755589853
- Mean Citation Score: 277.845748
- Max Citation Score: 355.4606
- Similarity Product: 214.3207655200005

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

Dataset: test