CQI-38 : Special Process: AI Vision Inspection Application and Assessment Guidance, 1st Edition (Hardcopy with Downloadable Assessment)

Title: CQI-38 : Special Process: AI Vision Inspection Application and Assessment Guidance, 1st Edition (Hardcopy with Downloadable Assessment)
Author: AIAG
ISBN: 1605345474 / 9781605345475
Format: Soft Cover
Pages: 100
Publisher: AIAG
Year: 2026
Availability: In Stock

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CQI-38 provides a standardized, industry-focused approach for assessing and managing AI-based vision inspection systems in automotive manufacturing. The guidance helps OEMs, suppliers at all tiers, and vision inspection equipment manufacturers evaluate system capability, accuracy, and reliability while addressing the risks associated with dynamic, data-driven inspection processes. 

Designed to supplement IATF 16949, CQI-38 focuses on AI systems that use image data to perform feature recognition, defect classification, and status evaluation rather than traditional rule-based inspection or precise dimensional measurement. The guidance takes a total lifecycle approach, covering system planning and manufacturing implementation through system and process acceptance, capability maintenance, and continual improvement. 

CQI-38 also emphasizes risk-based validation and controlling changes to equipment, AI models, data, and operating environments. This approach helps organizations maintain reliable inspection performance, support customer-specific requirements, and strengthen their AI quality management capabilities.

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About AIAG
Foreword
Ackowledgements
Table of Contents
Figures
Tables
Scope
AI Vision Inspection System Assessment Procedure

1 General management requirements for AI inspection
1.1 Understanding Relevant Requirements and Context for AI Inspection
1.2 Planning of AI Vision Inspection Processes
1.3 Roles, Responsibilities, and Authorities Related to AI Vision Inspection
1.4 Facilities and Equipment for AI Vision Inspection
1.5 Environment for AI Vision Inspection
1.6 Document Management for AI Vision Inspection
1.7 Planning of AI Vision Inspection System
1.8 Validation of AI Vision Inspection
1.9 Operation Control of AI Vision Inspection
1.10 Maintenance of AI Vision Inspection System
1.11 Cybersecurity, Data Security, and Information Security for AI Vision Inspection
1.12 Continual Improvement of AI Vision Inspection

2 Planning of AI Vision Inspection System
2.1 Internal and External Customer Needs and Management
2.1.1 Scope of Needs Collection
2.1.2 Needs Collection Methods
2.1.3 Needs Collection Steps
2.1.4 Needs Documentation

2.2 Planning and Determination of AI Vision Inspection Metrics.
2.3 Needs Feasibility Study
2.3.1 Experience-Based Evaluation
2.3.2 Initial Model Verification
2.3.3 Comprehensive Feasibility Report Output

2.4 Technical Solution and Verification Process (Gate 1)
2.4.1 Inspection Needs
2.4.2 Inspection Capability Indicators and Target Setting
2.4.3 Inspection Process Design
2.4.4 Inspection Capability Formation
2.4.5 Capability Verification and Acceptance
2.4.6 Capability Maintenance Management
2.4.7 Personnel Capability Management
2.4.8 Other Technical and Implementation Requirements

2.5 Final Confirmation and Delivery Requirements..

3 Installation, Commissioning, and Pre-acceptance of AI Vision Inspection Equipment

3.1 Production Stage: Equipment Assembly
3.1.1 Assembly Risk Analysis
3.1.2 Preparation Before Assembly
3.1.3 Mechanical Assembly Specifications
3.1.4 Electrical Wiring Specifications
3.1.5 Electromagnetic Compatibility (EMC)/ Electromagnetic Interference Test Specifications 

3.2 Debugging Phase: System Function and Risk Assessment
3.2.1 Mechanical Debugging
3.2.2 Electrical Debugging
3.2.3 Robotic Arm Debugging (if applicable)
3.2.4 Optical Debugging
3.2.5 Software/Platform Debugging

3.3 Pre-acceptance Phase: Performance Verification (Gate 2)
3.3.1 Production Cycle Time
3.3.2 Image Acquisition Function
3.3.3 Result Output and Alarm Function
3.3.4 Parameter Setting and Maintenance Function

4 AI Vision Inspection System Capability Verification and Acceptance

4.1 AI Vision Inspection System Model Training
4.1.1 Sample/Image Collection
4.1.2 Sample Labeling and Confirmation
4.1.3 Data Preparation and Model Training
4.1.4 Model Deployment

4.2 AI Vision Inspection System Capability Verification
4.2.1 Verification Prerequisites and Principles
4.2.2 Verification Items, Methods, and Acceptance Criteria

4.3 Final Acceptance of AI Vision Inspection System (Gate 3)
4.4 Long-Term Capability Validation of AI Vision Inspection System
4.4.1 Validation Principles
4.4.2 Verification Methods, Items, and Acceptance Criteria
4.5 Process Acceptance of AI Vision Inspection System (Gate 4)

5 AI Vision Inspection System Capability Maintenance and Continual Improvement (Gate 5) 
5.1 Operation and Maintenance
5.1.1 Performance Monitoring
5.1.2 Job setup verification and Error-Proofing for AI Vision Inspection System
5.1.3 Calibration of AI Vision Inspection System
5.1.4 Maintenance

5.2 Data Management
5.2.1 Data Storage
5.2.2 Data Backup and Security Protection
5.2.3 Data Compression
5.2.4 Log Management:

5.3 Change Management
5.3.1 Preparation
5.3.2 Equipment Change
5.3.3 Model Iteration
5.3.4 Model Rollback

5.4 Continual Improvement

Appendix A Relationship Matrix between CQI-38 and IATF 16949
Appendix B AI Vision Inspection Project Total Lifecycle Management (Gate 1 ~ Gate 5)
Appendix C Failure Analysis Case Study
Appendix D: Assessment Forms

Chapter 1: General Management Requirements for AI Vision Inspection
Chapter 2: Planning of AI Vision Inspection
Chapter 3: Al Vision Inspection Equipment Arrangement, Debugging, and Pre-Acceptance 
Chapter 4: AI Vision Inspection System Capability Verification and Acceptance
Chapter 5: AI Vision Inspection System Capability Maintenance and Continual Improvement

Glossary
References

Figures
Figure 1 Total Lifecycle Management of AI Vision Inspection
Figure 2 Flowchart of AI Vision Inspection System Planning
Figure 3 Flowchart of Installation, Commissioning, and Pre-acceptance of AI Vision Inspection Equipment
Figure 4 AI Vision Inspection System Capability Verification and Acceptance
Figure 5 AI Vision Inspection System Capability Maintenance and Continual Improvement

Tables
Table 1 Needs List
Table 2 AI Vision Inspection System Capability Verification Table
Table 3 Final Acceptance Documents Checklist
Table 4 Final Acceptance Checklist
Table 5 Long-Term Capability Validation Table for AI Vision Inspection System
Table 6 AI Vision Inspection System Process Acceptance Table (Supplementary Demonstration of Long- Term Capability)
Table 7 Equipment Change Acceptance Table