PATENT CLAIM ANALYSIS

Application Number: 16216210
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["382", "103000"]

Abstract:
An unauthorized visitor system collects an image of a person detected in a room of a patient. The system identifies reference points on the person's face, for example, points along the cheeks, jowls, and/or brow. The system may compare the reference points to reference points of images associated with registered visitors. The system then determines, based on the comparison, if the person is a registered visitor. One or more designated recipients may be alerted if the person is not a registered visitor or if the person breaches a patient identification zone established around a particular patient. The system may also register the person in a database of visitors.

Claim (Index 10):
The system of  claim 9  further comprising:\n a central video monitoring system configured to display at least a portion of images captured by the one or more 3D motion sensors; and \n a central communication system that is integrated with the computerized monitoring system and is communicatively coupled to the central video monitoring system, wherein when it is determined that the visitor is an unauthorized visitor, the computerized communication system sends an alert to the central video monitoring system.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 98.0
- Lexical Diversity: 1.95161
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15848621', '15395526', '15848730', '15395250', '16158729']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3793161448624458
- 35 USC 102 Novelty (BERT): 0.5479485493511909
- Combined Prediction Score: 0.3961793853113203
- Mean Citation Score: 336.29908799999987
- Max Citation Score: 424.48364
- Similarity Product: 308.9564029444647

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