PCB (Printed Circuit Board) defect detection method applied to finite computing power edge equipment

CN119379633APending Publication Date: 2025-01-28XIAMEN UNIV OF TECH
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Patent Information

Application Number
CN202411440463.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-10-15
Publication Date
2025-01-28

AI Technical Summary

Technical Problem

The prior art has problems such as low detection efficiency, high labor costs, difficult data recovery, high equipment requirements and large energy consumption in PCB circuit board defect detection, especially in edge limited computing equipment.

Method used

Through training large parameter models and using knowledge distillation technology, it is trained to train small parameter models suitable for marginal limited computing power equipment to achieve circuit board defect detection. This method includes collecting and preprocessing data, training YOLOV5 models, and generating small parameter models through knowledge distillation technology, and finally transplanted it to the edge device for detection.

Benefits of technology

The efficient and automated testing on the edge limited computing power equipment has significantly reduced the problems of labor costs, missed inspections, misunderstandings, and has the characteristics of flexibility and decentralization. ability.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention relates to a PCB (Printed Circuit Board) defect detection method applied to limited computing power edge equipment, and belongs to the technical field of industrial product defect detection. Comprising the following steps: training a large-parameter model, and training a small-parameter model of edge equipment capable of being used for finite computing power by utilizing a distillation technology; based on the small parameter model, the edge device collects and detects the defect information of the circuit board. According to the method disclosed by the invention, high-precision defect detection can be realized even in an environment with limited computing power, so that the production efficiency is improved, the cost is reduced, the deployment is flexible, and the quality of a PCB (Printed Circuit Board) product is ensured.
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