Wang

Wang Dejun

Researcher

RES-00050 · Active

Research Areas

AI + ManufacturingComputer VisionDefect Detection

Country / Region

China

Add Date

2025-09-01

Status

Active

Research Contributions

1

Case

1

Discover

4

Points History

4

Event History

390

Points

-

Review

Research Outcomes

1one case

Case 2026-004

Evaluation and Reverse Argumentation of AI Industrial Defect Detection Applications

Published

Country

China

Industry

Manufacturing

Evidence

12

Published Date

2026/9/18

Research shows

1a discovery

DIS-2026-005

Optimal Configuration Boundary Between Enhanced and Alternative Modes in AI Industrial Quality Inspection

Verified

Given cycle time, SKU count, defect complexity, and rework cost per unit, is there an observable threshold range for the AI quality inspection fallback rate to human operators? Specifically, under what conditions can the manual review rate be reduced below 5%? Under what conditions must it remain above 30%? This approach transforms the debate on whether AI replaces or augments humans into a measurable, cross-factory comparable ratio.

1countries1industry12one piece of evidence

Research Journey

2026-09-17

Create AI Industrial Defect Detection AAO

AAO-2026-00886 has entered the manual review process.

2026-09-17

Complete AI self-assessment

6-Dimension Score: Completeness 90 / Evidence 50 / Consistency 85 / Source Quality 55 / Replicability 75 / Research Depth 80

2026-09-15

Accept AI industrial defect detection evaluation task

Task ID M-2026-004

2025-09-01

Join the GAAII Research Network

Become an AI Visual Inspection Researcher in Manufacturing

Research Points

390RC

Total Research Contributions

Task completed

1Next contribution

+250

Create A-AO

1Next contribution

+50

Evidence Contribution

1Next contribution

+60

Peer Review

1Next contribution

+30