PATENT CLAIM ANALYSIS

Application Number: 16100396
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["382", "103000"]

Abstract:
A system and method for tracking and annotating objects in a 3D model is disclosed. The method includes receiving a signal feed from a group of sensors including at least one depth sensor, determining a reference signal feed from the signal feed, determining a volumetric representation of at least one object not present in the reference signal feed, assigning a unique volumetric profile to at least one object, and/or storing the unique volumetric profile in an object database. The signal feed may include at least one 3D area of interest. Also, the unique volumetric profile may include a unique volumetric id obtained from a group of attributes. The unique volumetric profile may include at least a unique volumetric position and a unique volumetric centroid. The group of sensors may further include video cameras, thermal, and chemical sensors.

Claim (Index 8):
A computing apparatus, the computing apparatus comprising:\n a processor; and a memory storing instructions that, when executed by the processor, configure the apparatus to a processor execute the steps of: receive a signal feed from a volumetric sensor, calculate a reference signal feed from the signal feed, determine optimal space for detecting persons, detect the presence of a person in the reference signal feed, assign a unique volumetric profile to the person, said unique volumetric profile comprising a unique volumetric id and a unique volumetric position, store the unique volumetric profile in a person database, and retrieve the unique volumetric profile from the person database.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 96.0
- Lexical Diversity: 2.41935
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15441736', '12707183', '12707231', '15279776', '13264370']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.268599731311228
- 35 USC 102 Novelty (BERT): 0.5379432486633463
- Combined Prediction Score: 0.2955340830464399
- Mean Citation Score: 190.405464
- Max Citation Score: 363.18332
- Similarity Product: 285.38481310540675

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