Advanced Defect Detection Techniques Using AI, CAD Data, and Computer Vision

2026-26-0644

To be published on 01/16/2026

Authors Abstract
Content
In area of modern manufacturing, ensuring product quality and minimizing defects are utmost important for maintaining competitive advantage and customer satisfaction. This paper presents an innovative approach to detect defect by leveraging Artificial Intelligence (AI) models trained using Computer-Aided Design (CAD) data. Traditional defect detection methods often rely on physical inspection, which can be time-consuming and prone to human error. The conventional method of developing an AI model requires a physical part data , By utilizing CAD data, the time to develop an AI model and implementing it to production line station can be saved drastically . This approach involves the use of AI algorithms trained on CAD models to detect and classify defects in real-time. The field trial results demonstrate the effectiveness of this approach in various industrial applications, highlighting its potential to revolutionize defect detection in manufacturing.
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Citation
Kulkarni, P., Sahu, D., Joshi, C., Khatavkar, A. et al., "Advanced Defect Detection Techniques Using AI, CAD Data, and Computer Vision," SAE Technical Paper 2026-26-0644, 2026, .
Additional Details
Publisher
Published
To be published on Jan 16, 2026
Product Code
2026-26-0644
Content Type
Technical Paper
Language
English