Real-time risk prediction method and system based on 3D vision

A risk prediction, 3D technology, applied in the fields of instruments, data processing applications, metadata still image retrieval, etc., can solve the problem that the two-dimensional visual risk prediction method is not intuitive enough.

Inactive Publication Date: 2021-05-14
成都视海芯图微电子有限公司
View PDF20 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is that the risk prediction method based on two-dimensional vision is not intuitive enough, and the purpose is to provide a real-time risk prediction method and system based on 3D vision to solve the problem of using 3D modeling to realize the prediction of future risk value. Thus making the risk prediction more intuitive

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Real-time risk prediction method and system based on 3D vision

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0039] The present invention is a real-time risk prediction method based on 3D vision, such as figure 1 shown, including:

[0040] Step 1: Collect video images of the monitored object and its surrounding environment in real time, and establish an image database. Wherein, the video images of the monitored object and the surrounding environment can be collected by a video collection device, for example, video images are collected by using a camera, radar, scanner, etc. The image database includes at least one video image.

[0041] Step 2: Extract feature data of all video images in the image database in step 1, such as tilt angle features, distance features, etc.; establish a feature database based on the extracted feature data. The feature database includes at least two data types: the morphological feature of the monitored object and the interaction feature between the monitored object and the surrounding environment.

[0042] Step 3: Process the feature data in the feature...

no. 2 example

[0058] A real-time risk prediction system based on 3D vision, including:

[0059] Image acquisition module: used for real-time acquisition of video images of the monitored object and surrounding environment;

[0060] Feature extraction module: used to extract feature data from the collected video images;

[0061] Data encoding module: used to encode the extracted feature data to obtain encoding information of different time steps;

[0062] Data decoding module: used to decode the encoded information to obtain analog feature data;

[0063] State processing module: used for real-time storage, maintenance and update of the state information of the monitored object under the current and future time steps;

[0064] Risk assessment module: used to conduct future risk assessment based on 3D scene graph to obtain future risk value;

[0065] Risk Judgment Module: used to judge whether it is necessary to activate the safety protection system according to the future risk value.

[00...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a real-time risk prediction method and system based on 3D vision. The method comprises the steps of: real-time video image acquisition, feature data extraction, feature data encoding, encoded information decoding, simulation feature data state processing, future risk analysis, risk prediction of future risk data and safety protection. The system comprises an image acquisition module, a feature extraction module, a data encoding module, a data decoding module, a state processing module, a risk assessment module, a risk judgment module and a protection control module. According to the real-time risk prediction method and system provided by the invention, the future safety state of a monitored object can be effectively estimated, the risk can be predicted in advance, and effective precautionary measures can be provided.

Description

technical field [0001] The present invention relates to the technical field of risk prediction, in particular to a real-time risk prediction method and system based on 3D vision. Background technique [0002] Predicting the future trajectory and potential safety hazards of the monitored object in advance has received extensive attention in the field of risk prediction technology, and plays a very important role in real life, such as fall prediction and evaluation, child bump prediction, traffic accident prediction Wait for the scene. It is necessary to estimate potential risks that have not yet occurred in the future based on previous scenarios in real time, and to protect in advance based on the risk prediction value. Therefore, how to accurately predict future scenarios and accurately model and predict future scenarios is crucial. [0003] In recent years, with the maturity of artificial intelligence and smart devices, how to better use artificial intelligence technology...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G08B21/02G06Q10/06G06K9/00G06F16/58
CPCG08B21/02G06Q10/0635G06F16/58G06V20/40
Inventor 张旻晋许达文
Owner 成都视海芯图微电子有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap