PATENT CLAIM ANALYSIS

Application Number: 15986376
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-11
Patent Classification: ["348", "143000"]

Abstract:
A plurality of events may be captured by a set of audio/video (A/V) recording and communication devices. First video data of a first event and second video data of a second event may be received. The first video data and the second video data may be analyzed to determine characteristics associated with the first video data and the second video data. The first event and the second event may be prioritized based on the characteristics determined from the analysis of the first video data and the second video data to create an ordered list. The ordered list may include a first list entry that corresponds to the first event and a second list entry that corresponds to the second event. The ordered list may then be transmitted to a client device for display on a display of the client device.

Claim (Index 3):
The method of  claim 1 , wherein the determining the at least one first characteristic from among the plurality of characteristics comprises:\n determining that first video data is representative of an object; identifying a class of the object from at least one of a person, a parcel, an animal, or a vehicle; and determining that the class of the object is one of the at least one first characteristics.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 93.0
- Lexical Diversity: 2.74074
- Patent Class: 348.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15957868', '15625271', '15904399', '15839377', '15967097']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6646385586846141
- 35 USC 102 Novelty (BERT): 0.5088443194554549
- Combined Prediction Score: 0.6490591347616982
- Mean Citation Score: 224.787614
- Max Citation Score: 228.30405
- Similarity Product: 132.16657068380712

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test