Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Safety belt wearing detection method and device based on artificial intelligence software technology

A detection method and technology for seat belts, which are applied in computer parts, character and pattern recognition, instruments, etc., can solve the problem of low accuracy and achieve the effect of improving the accuracy.

Pending Publication Date: 2020-08-25
广州亚美智造科技有限公司
View PDF6 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, due to factors such as drivers’ diverse clothing, complex surroundings, and insufficient lighting in the car, there are often many noise and interference segments in the collected driver’s images, which makes the existing technology more difficult for drivers’ safety. There is a problem of low accuracy when testing with wearing conditions

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
  • Safety belt wearing detection method and device based on artificial intelligence software technology
  • Safety belt wearing detection method and device based on artificial intelligence software technology
  • Safety belt wearing detection method and device based on artificial intelligence software technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0061] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0062] The safety belt wearing detection method provided by this application can be applied to such as figure 1 shown in the application environment. Wherein, the safety belt wearing detection device 110 first obtains the image of the person in the vehicle, determines the torso area of ​​the person in the vehicle from the image, and obtains the torso image; then, the safety belt wearing detection device 110 determines a plurality of lines in the torso image; , each line has a corresponding geometric feature in the torso image; then, the seat belt wearing detection device ...

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 relates to a safety belt wearing detection method and device, computer device and a storage mediuminvention, and relates to the technical field of intelligent automobiles based on artificial intelligence software technology. The method comprises the following steps: acquiring an image of a person in a vehicle, and determining a trunk area of the person in the vehicle from the image to obtain a trunk image; determining a plurality of lines in the trunk image; wherein each line has a corresponding geometrical characteristic in the trunk image; clustering the plurality of lines according to the geometrical characteristics corresponding to each line to obtain a suspected safety belt edge line; and outputting a safety belt wearing detection result of the person in the vehicle according to the suspected safety belt edge line. By adopting the method, the accuracy of driver safety belt wearing detection can be improved.

Description

technical field [0001] The present application relates to the technical field of smart cars, in particular to a safety belt wearing detection method, device, computer equipment and storage medium based on artificial intelligence software technology. Background technique [0002] Seat belts are recognized as the most effective and direct in-vehicle passive protection facility. By wearing seat belts, the casualty rate of traffic accidents can be effectively reduced. Global traffic accident reports show that a significant driving safety hazard is improper use of seat belts. [0003] In order to remind the driver to wear the seat belt in time, in the prior art, the collected driver's image is often used to identify the driver's image by means of image recognition, and to detect the driver's seat belt wearing condition. [0004] However, due to factors such as drivers’ diverse clothing, complex surroundings, and insufficient lighting in the car, there are often many noise and in...

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
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/161G06V40/168G06V40/10G06V20/597G06V10/44G06F18/23
Inventor 李景林辉潘钟声温煦江勇
Owner 广州亚美智造科技有限公司
Features
  • Generate Ideas
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com