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GB/T 45575-2025Technical requirements of automatic inspection system for surface defect of industrial product (English PDF)

工业产品表面缺陷自动检测系统技术要求

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Issued by

SAMR; SAC

Level / Type

National · Recommended

Issue date

April 25, 2025

Implementation date

November 1, 2025

Scope

GB/T 45575-2025 is the English-translated version of 工业产品表面缺陷自动检测系统技术要求.

GB/T 45575-2025 is the Chinese national standard covering the machine vision system that looks for surface defects on a product as it comes down the line — the system architecture and the units it is built from, the functional requirements, the CCD imaging, the deep neural network that does the detecting, the inspection workflow, and the deployment and integration requirements, without which a model that scores well on a bench dataset never runs on a line. First edition, under the China Machinery Industry Federation. In force from 1 November 2025. Issued on 25 April 2025, it has been in force since 1 November 2025.

Document preview — GB/T 45575-2025

National Standard of the People's Republic of China

ICS: 35.240.50
Classification: J 07

Issued by: State Administration for Market Regulation; Standardization Administration of the PRC

Foreword
1 Scope
2 Normative references
3 Terms and definitions
3.1 Surface imperfection
3.2 machine learning
3.3 neuralnetwork
4 Abbreviations
5 Architecture and workflow of industrial product surface automatic inspection system
5.1 System Architecture

Foreword

This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for standardization work Part 1: Structure and drafting rules for standardization documents" Drafting.

Please note that some of the contents of this document may involve patents. The issuing organization of this document does not assume the responsibility for identifying patents.

This document was proposed by the China Machinery Industry Federation.

This document is under the jurisdiction of the National Automation System and Integration Standardization Technical Committee (SAC/TC159).

This document was drafted by: Tsinghua University Shenzhen International Graduate School, Inspur Yunzhou Industrial Internet Co., Ltd., Fuzhou University, Hengjitong (Guangdong) Technology Co., Ltd., Shenzhen Huahan Weiye Technology Co., Ltd., Beijing Institute of Automation of Mechanical Industry Co., Ltd., Tsinghua University, Inner Mongolia National Dairy Technology Innovation Center Co., Ltd., Institute of Microelectronics, Chinese Academy of Sciences, Inner Mongolia Yili Industrial Group Co., Ltd.

Company, Wuhan Hengli Huazhen Technology Co., Ltd., Beijing Red Bee Robotics Co., Ltd., China Aerospace Guizhou Liyang Aviation Power Co., Ltd.

Co., Ltd., Guoqi Zhimo (Chongqing) Technology Co., Ltd., Qingdao Haizhichen Industrial Equipment Co., Ltd., Beijing Harbin Institute of Technology Huiyu Technology Co., Ltd., Guangzhou Yihong Intelligent Equipment Co., Ltd., Shenzhen Zhongke Precision Technology Co., Ltd., Dongguan Kangshida Automation Technology Co., Ltd., Zhuhai Guanghao Jie Technology Co., Ltd., Zhejiang Huarui Technology Co., Ltd., Hangzhou Tenli Transmission Technology Co., Ltd., Zhejiang Yiwei Precision Technology Co., Ltd.

Technology Co., Ltd., Zhejiang Shuangyuan Technology Co., Ltd., Guanjia Technology Co., Ltd., Suzhou Chenling Optics Co., Ltd., Shenzhen Zhuomao Technology Co., Ltd.

The main drafters of this document are: Huang Biqing, Wu Hongqiang, Zheng Xianghan, Wang Haidan, Sun Yu, Yang Yang, Li Xiu, He Jian, Zhong Jiaxin, Lv Zhiyong, Liu Tao, Zhu Peng, Yang Yujiu, Wang Xiang, Yan Ze, Wang Ying, Yin Haonan, Lu Bingyu, Li Liang, Hao Ruiyang, Hao Chaofan, Wu Shaoli, Zhai Aiting, Wei Qiqi, Nie Zilin, Guo Dong, Huang Lin, Chen Dong, Xu Songyan, Wang Gang, Wang Huamao, Deng Junguang, Hu Runmin, Zhang Bo, Shen Hai, Shen Ying, Zhong Hongping, Xie Lianghua, Xia Yulong, Wen Quan.

Technical requirements for automatic detection system of surface defects of industrial products

1 Scope

This document specifies the architecture and composition of the industrial product surface defect automatic detection system, system functional requirements, automatic detection core technology, Testing process and deployment and integration technical requirements.

This document is applicable to the construction and application of automatic detection system for surface defects of industrial products based on deep neural network technology.

2 Normative references

This document has no normative references.

3 Terms and definitions

The following terms and definitions apply to this document.

3.1 Surface imperfection

Units, groups of units, or irregularities in the actual surface that are generated unintentionally or accidentally during processing, storage, or use.

[Source. GB/T 40810.1-2021, 3.12]

3.2 machine learning

The process by which a functional unit improves its performance by acquiring new knowledge or skills, or by organizing existing knowledge or skills.

[Source. GB/T 5271.31-2006, 2.31.01.02]

3.3 neuralnetwork

A network of basic processing elements connected by weighted paths with adjustable weights, which makes each element Each unit generates a value and transmits it to other units or represents it as an output value.

[Source. GB/T 5271.34-2006, 34.01.06]

4 Abbreviations

The following abbreviations apply to this document. CCD. Charge-coupled Device

5 Architecture and workflow of industrial product surface automatic inspection system

5.1 System Architecture

The architecture of the automatic detection system for industrial product surface defects is shown in Figure 1.

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This preview omits tables, figures, formulas and parts of the technical clauses. The complete document — 15 pages — is available in the English PDF.

Editions of GB/T 45575

Edition	Title	Revision	Status
GB/T 45575-2025	Technical requirements of automatic inspection system for surface defect of industrial product	current edition	Current

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