Car seat back recognition method and system based on image analysis

An image analysis and car seat technology, which is applied in the field of car parts, can solve problems such as difficult to judge car seat back gap, car seat back defect omission, and low detection efficiency, so as to avoid equipment damage or casualties, and use it safely Convenience and the effect of avoiding communication errors

Inactive Publication Date: 2019-05-28
CHANGCHUN GUANGHUA UNIV
View PDF9 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a car seat back recognition method and system based on image analysis, which can effectively solve the problem that most of the existing car seat back recognition in the above background technology relies on the staff's visual inspection, and its detection efficiency is low and it is easy to appear. In the case of false detection, it is difficult to judge the gaps in the backrest of the car seat or at the inconspicuous position through the equipment of recording and analyzing the physical image, resulting in the omission of defects in the backrest of the car seat

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
  • Car seat back recognition method and system based on image analysis
  • Car seat back recognition method and system based on image analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0027] Embodiment 1: as figure 1 As shown, the present invention provides a technical solution, a car seat back recognition system based on image analysis, including an information acquisition module, an information processing module, an execution module and an operation module, and the information acquisition module includes physical image acquisition and radiographic image acquisition , the information processing module includes physical image analysis, radiographic image analysis and data processing sub-modules, the execution module includes display screen display sub-modules, searchlight irradiation and information interaction sub-modules, and the operation module includes security login sub-modules, equipment use and acquisition component adjustment;

[0028] The output end of the information collection module is connected to the input end of the information processing module, the output end of the information processing module is connected to the input end of the executio...

Embodiment 2

[0036] Embodiment 2: as figure 2 As shown, a car seat back recognition method based on image analysis includes the following steps:

[0037] S1. Position adjustment of acquisition components: adjust the position of the camera and the ray flaw detector according to the backrest of the seat to be detected;

[0038] S2. Seat back image recording: record the physical image of the seat back through the camera, and record the radiographic image of the seat back through the ray flaw detector;

[0039] S3. Recorded image processing: processing of physical images and radiographic images to obtain product information to be inspected;

[0040] S4. Backrest information display: Display damaged products and related information of damaged products through the display screen;

[0041] S5. Damage recovery: The backrest of the seat is damaged by the searchlight, and the workers take the backrest of the damaged seat out for recycling.

[0042] According to the above technical solution, the ...

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 car seat back recognition method and system based on image analysis. The car seat back recognition system comprises an information collection module, an information processing module, an execution module and an operation module, wherein the information collection module comprises physical object image collection and ray image collection, and the information processing module comprises physical object analysis, ray image analysis and a processing data submodule; the execution module comprises a display screen displaying submodule, searchlight illumination and an information interaction submodule; and the operation module comprises a secure login submodule, equipment utilization and collection part regulation. The car seat back recognition system is scientific and reasonable in structure and safe and convenient in use. By analyzing and processing physical object images recorded by a camera and ray images recorded by a ray detection apparatus, the car seat back recognition system improves the damage identification efficiency of a car seat back, reduces the situation of unqualified products not being removed due to physical object image recognition, and improves the recognition efficiency.

Description

technical field [0001] The invention relates to the technical field of automobile parts, in particular to an image analysis-based method and system for recognizing the back of an automobile seat. Background technique [0002] Cars are one of the important travel tools that are convenient for people to travel. Car seats are seats used when riding in cars. Car seats provide drivers and passengers with easy-to-operate, comfortable and safe driving and sitting positions. In order to improve the comfort of riding, By configuring the backrest for the seat, in the production and recycling process of the car backrest, it is necessary to detect and identify the backrest of the car seat, and reject the unqualified products in the backrest of the car, so as to ensure that the backrests sold and recycled are of good quality. Usability, but most of the existing car seat backrest recognition relies on the staff's visual inspection, which has low detection efficiency and is prone to false ...

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): B07C5/342B07C5/36
Inventor 李晓光朱娟肖萍萍李长明王金莉郭亮孙沫丽
Owner CHANGCHUN GUANGHUA UNIV
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