PATENT CLAIM ANALYSIS

Application Number: 16068293
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["382", "103000"]

Abstract:
The present invention provides a system for visualizing the congestion degree of an entire facility using a monitoring camera. The system detects a crowd from a monitoring camera video and derives the magnitude (number of people) of the crowd from the edge amount thereof, and thereby estimates a congestion state in a range of camera video. The system also calculates a human flow (amount of movement of people) on the basis of a number of passing people counter and the magnitude and movement speed of the crowd, etc., and estimates the number of people in an area other than the range of camera video on the basis of a modeled crowd behavior pattern. The model is constructed by selecting a distribution function and a parameter thereof by a statistical model selection technique such as a Bayesian Information Criteria (BIC). The congestion state is plotted on a map, allowing the congestion state of an area of interest to be grasped at once.

Claim (Index 10):
The congestion-state-monitoring system according to  claim 7 , further comprising a face verification device which verifies the face;\n wherein, based on a plurality of combinations of a flow-in time and a flow-out time of a same person having verified the face, a parameter of the staying time or a distribution of the staying time is calculated for each predetermined category regarding a characteristic of people; wherein the spatial congestion level estimation device uses the calculated parameter of the staying time or the distribution of the staying time for a hyperparameter in a model of the crowd behavior pattern; and wherein the graphical user interface is a digital signage terminal displays, as the heat map seen by general customers, a distribution of a current congestion level for the entire buildings or facilities, by using congestion levels in all the plurality of regions.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 95.0
- Lexical Diversity: 2.14634
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15035516', '09944317', '16085851', '15117552', '13614267']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2901743829376838
- 35 USC 102 Novelty (BERT): 0.4855701648524449
- Combined Prediction Score: 0.3097139611291599
- Mean Citation Score: 153.539414
- Max Citation Score: 166.80876
- Similarity Product: 111.24422166096926

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