Deep Learning-Based Visual Detection Method for Defects in Automotive Flowing Water Turn Signal Lights

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Authors

Publication Details

Journal
International Journal of Artificial Intelligence and Soft Computing
Published
2025-01-01
DOI
https://doi.org/10.1504/ijaisc.2025.10074297
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep Learning-Based Visual Detection Method for Defects in Automotive Flowing Water Turn Signal Lights

Hai Zhang, Guoyang Wan, Bingyou Liu, Hanqi Li et al.
International Journal of Artificial Intelligence and Soft Computing
Industrial Vision Systems and Defect Detection
article

Deep Learning-Based Visual Detection Method for Defects in Automotive Flowing Water Turn Signal Lights

Hai Zhang, Guoyang Wan, Bingyou Liu, Hanqi Li, Jincheng Chen, Chengwen Wang
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Artificial Intelligence and Soft ComputingVol. 9(3)
Openalex Percentile: Top 56%
Industrial Vision Systems and Defect Detection
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