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 11):
A computerized method for detecting unauthorized visitors, the method implemented by one or more processors and comprising:\n receiving, from one or more 3D motion sensors, an image of at least two persons detected in a room of an individual being monitored, wherein the at least two persons are detected using skeletal tracking; determining at least one person is an unauthorized visitor by identifying reference points on the at least one person using information from the one or more 3D motion sensors; upon determining the at least one person is an unauthorized visitor, initiating an alert being sent to one or more designated recipients; and determining whether the at least one person who is an unauthorized visitor made one or more corrective actions based on information received from the one or more 3D motion sensors after the alert is sent to one or more designated recipients.

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): 0.3742439608226398
- 35 USC 102 Novelty (BERT): 0.557398031181621
- Combined Prediction Score: 0.3925593678585379
- Mean Citation Score: 336.29908799999987
- Max Citation Score: 424.48364
- Similarity Product: 408.2704308250618

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