PATENT CLAIM ANALYSIS

Application Number: 16090236
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-04
Patent Classification: ["340", "573100"]

Abstract:
A body fall smart control system includes at least one image capturing module used for capturing a video image and an image processing module connected to the image capturing module. The image processing module is used for performing body pattern identification on the captured video image, establishing a 2D or 3D model of the identified body pattern, tracking whether a signal change speed and/or angle of the modeled body pattern reaches a set threshold value to determine whether a fall has occurred, and controlling an alarm module to sound an alarm if a fall has occurred. A 2D or 3D model compares and analyzes the speed, angle, associated help voice, etc. of a falling body to determine whether a fall has occurred, and sounding an alarm and sending a signal for manual braking or automatic braking etc. and controlling an action of a related device if the comparison is successful.

Claim (Index 10):
The body fall smart control method according to  claim 9 , wherein image pre-processing is also included prior to the moving object detection, and comprises the following steps: first median filtering is performed on an image to remove image noise; then a boundary contrast adaptive histogram equalization method is used to enhance the image; an open operation is used to remove image burrs that stick to the body; a Prewitt edge detection method is used to extract a contour of the image; and a comprehensive method is used to determine a grayscale threshold of the image, and the image is binarized.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 97.0
- Lexical Diversity: 2.16
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14716902', '13334878', '15394011', '12106788', '15828371']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6683358430225345
- 35 USC 102 Novelty (BERT): 0.4715651468403994
- Combined Prediction Score: 0.648658773404321
- Mean Citation Score: 125.072079
- Max Citation Score: 128.72206
- Similarity Product: 94.91286401200892

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