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A plug-in visual detection and identification method, readable storage medium and device

A visual detection and recognition method technology, applied in character and pattern recognition, computer parts, image analysis, etc., can solve problems such as easy missing parts, high labor costs, PCBA image comparison errors, etc., to achieve high accuracy and recognition. Efficient effect

Active Publication Date: 2022-07-19
深圳智检慧通科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

SPI and AOI require high-precision lenses and specially designed light sources. The hardware cost is high, the preparation time before production is long, there are PCBA image comparison errors, the false positive rate is high, and defective products cannot be effectively eliminated; the appearance of the plug-in process is basically dependent on manual work. Visual inspection, low efficiency, easy missing parts, high labor costs, high requirements for employee proficiency

Method used

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  • A plug-in visual detection and identification method, readable storage medium and device
  • A plug-in visual detection and identification method, readable storage medium and device
  • A plug-in visual detection and identification method, readable storage medium and device

Examples

Experimental program
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Effect test

Embodiment 1

[0087] like figure 1 As shown, the present invention provides an embodiment of a plug-in visual detection and identification method, comprising the following steps:

[0088] S10, obtaining multi-angle and multi-directional pictures of the finished circuit board to be detected and identified;

[0089] S20, distorting each of the pictures and extracting the component area images of each component;

[0090] S30. Perform plug-in visual detection and recognition on the finished circuit board according to the component area image; the plug-in visual detection and recognition includes plug-in floating height skew detection and recognition of the components, and plug-in missing parts detection of the components identify;

[0091] S40. Obtain and output the plug-in detection and identification result of the component.

[0092] In this embodiment, the multi-angle and multi-directional pictures include a front image, an oblique image and / or a front side image of the finished circuit b...

Embodiment 2

[0178] The present invention also provides a computer-readable storage medium, where a computer program is stored on the storage medium, and when the computer program is executed, the plug-in visual detection and identification method of the above-mentioned first embodiment is implemented.

Embodiment 3

[0180] The present invention also provides an embodiment of a plug-in visual detection and identification device, including a processor and a memory; wherein the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the processor executes The plug-in visual detection and identification method of the above-mentioned first embodiment.

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PUM

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Abstract

The invention discloses a plug-in visual detection and identification method, comprising the steps of: S10, obtaining a multi-angle and multi-directional picture of a finished circuit board to be detected and identified; S20, distorting the picture and extracting the component area of ​​each component image; S30, perform plug-in visual detection and recognition on the finished circuit board according to the image of the component area; S40, obtain and output the plug-in visual detection and recognition result. The invention uses the convolutional neural network to quickly learn and identify various defects of the plug-in of the finished circuit board, and through the learning and training of big data, can quickly identify the defects of the plug-in such as error, leakage, inversion, multiple, skew, etc., and the identification efficiency is high. High accuracy.

Description

technical field [0001] The present invention relates to the technical field of plug-in visual detection and identification, in particular to a plug-in visual detection and identification method, a readable storage medium and a device. Background technique [0002] Finished circuit board (Printed Circuit Board+Assembly, PCBA for short), that is, the finished circuit board is PCBA, which is one of the key components of electronic equipment. This step is not required) to obtain the circuit board, that is, various electronic components are assembled on the PCB board through the surface packaging process. The position of the components on the PCBA board, the short circuit of the solder joints, and the number of pin headers directly affect the performance and yield of the circuit board. Therefore, it is an indispensable and very important link for PCBA to test whether the product is qualified before delivery. [0003] At present, the existing PCBA defect detection and identifica...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/60G06V30/422G06V10/30G06V10/44G06V10/74G06V10/82G06K9/62G06N3/04
CPCG06T7/0004G06T7/60G06T2207/30141G06V30/422G06V10/30G06V10/44G06V10/74G06V10/82
Inventor 刘晓辉
Owner 深圳智检慧通科技有限公司
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