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

A fully automatic polarity discrimination method for surface-mounted capacitor mounting and welding based on image analysis

A technology of image analysis and polarity discrimination, applied in the field of electronic information, can solve the problems of reducing system flexibility and difficulty in fully automatic, and achieve the effect of improving the level of intelligence and autonomy, reducing labor costs, and realizing fully automatic discrimination

Active Publication Date: 2020-11-20
XIAN MICROELECTRONICS TECH INST
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method needs to provide the standard target image and position information of the tantalum capacitor, and it is difficult to realize automatic defect discrimination. In addition, the scale, lighting conditions, and placement angle of the standard target image must be strictly consistent with the target on the circuit board, which is greatly improved. Reduced flexibility of the system

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
  • A fully automatic polarity discrimination method for surface-mounted capacitor mounting and welding based on image analysis
  • A fully automatic polarity discrimination method for surface-mounted capacitor mounting and welding based on image analysis
  • A fully automatic polarity discrimination method for surface-mounted capacitor mounting and welding based on image analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0078] Input the board image as image 3 As shown, the light intensity in the upper left corner is significantly greater than that in the lower right corner, and the orientation of the capacitors is inconsistent. The image of the target area of ​​the circuit board obtained by using the LAB space color feature and area consistency detection is as follows: Figure 4 shown.

[0079] Figure 5 It is the detection and positioning results of the tantalum capacitor target in the original image. It can be seen that the algorithm of the present invention can realize accurate detection and positioning under the conditions of inconsistent illumination and inconsistent orientation. Using the algorithm of the present invention to Figure 4 The result of polarity judgment of the detected capacitance is as follows: Figure 6 As shown, the end of the capacitor with the black strip is the positive pole. The result of the algorithm discrimination is the orientation of the positive pole of t...

Embodiment 2

[0081] Input the board image as Figure 7 As shown, due to the large area of ​​the circuit board, the clarity of the capacitor texture in the captured image is not high, and the size of the capacitors varies greatly, and the orientation is also inconsistent. The image of the target area of ​​the circuit board obtained by using the LAB space color feature and area consistency detection is as follows: Figure 8 shown. The detected regions and locations are marked in the original image as Figure 9 shown by Figure 9 It can be seen that the algorithm of the present invention accurately detects the position and area of ​​the tantalum capacitor. The polarity discrimination results of the detected capacitance are as follows: Figure 10 As shown, the correct polarity discrimination rate of the present invention reaches 100%, and the entire detection and discrimination process is less than 5 seconds, which is less than 1 / 100 of manual labor.

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 full-automatic polarity discrimination method for surface capacitance assembling and welding based on image analysis. Detection and positioning of a patch tantalum capacitoris realized by combination of LAB color space and region consistency. The polarity of a detected tantalum capacitor is distinguished by texture analysis, and furthermore, compared with a schematic file, detection of capacitor assembling and welding correctness is realized. The method reduces manual cost and improves detection efficiency, and eliminates leak detection and fault detection caused bysubjective factors of manual detection or visual fatigue. The algorithm can be applied to an intelligent component detection system to improve intelligent and autonomous level of an existing machine vision light detection system.

Description

technical field [0001] The invention belongs to the technical field of electronic information, and in particular relates to an image analysis-based fully automatic polarity discrimination method for veneer capacitor mounting and welding, which is suitable for an intelligent circuit board component detection and identification system. Background technique [0002] With the development of intelligence, miniaturization, and miniaturization of microelectronics technology, printed circuit boards are also developing in the direction of high density, high integration, multi-layer, and high performance. However, manual detection of circuit board soldering defects is prone to missed detection and misjudgment due to subjective factors or visual fatigue, and the detection efficiency is difficult to meet the needs of actual production. Therefore, developing an automatic optical inspection system to replace manual inspection has important practical significance and market prospects. Chi...

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 Patents(China)
IPC IPC(8): G06T7/00G06T7/90G06T7/70G06T7/136
CPCG06T7/0004G06T7/136G06T7/70G06T7/90G06T2207/10004G06T2207/30141
Inventor 刘向增马钟唐雪寒
Owner XIAN MICROELECTRONICS TECH INST
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com