PATENT CLAIM ANALYSIS

Application Number: 16150018
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-05
Patent Classification: ["382", "103000"]

Abstract:
A method and system for determining the location of objects using a plurality of full motion video cameras where the location is based on the intersecting portions of a plurality of three-dimensional shapes that are generated from the video data provided by the cameras. The three-dimensional shapes include two-dimensional shapes that contain predetermined traits in each of the frames of the video signals.

Claim (Index 21):
A method of determining the location of objects, the method comprising:\n receiving information from a plurality of sensors monitoring an area; identifying, in data captured by respective first sensors of the plurality of sensors, one or more predetermined traits of a detected object; demarcating a portion of the captured data that contains the identified one or more predetermined traits with a two-dimensional shape; defining a three-dimensional shape for each first sensor that maintains the detected object in a field of view, the three-dimensional shape extending from at least the two-dimensional shape to the respective first sensor in each data frame; calculating an intersecting shape where two or more of the defined three-dimensional shapes of the first sensors intersect; and calculating a center point of the intersecting shape that is identified as the location of the object.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 97.0
- Lexical Diversity: 1.51163
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15609150', '13434317', '15806145', '15430659', '15344761']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2639134978470345
- 35 USC 102 Novelty (BERT): 0.5169618057113843
- Combined Prediction Score: 0.2892183286334695
- Mean Citation Score: 170.691544
- Max Citation Score: 304.19424
- Similarity Product: 246.05887647525785

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