Novel image-based model enhances the detection of surface defects in low-light industrial settings
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Apr-2025 20:08 ET (1-May-2025 00:08 GMT/UTC)
In industries, the detection of anomalies such as scratches, dents, and discolorations is crucial to ensure product quality and safety. However, conventional methods rely on heavy computational processing and image enhancement and may not truly reflect subtle defects, particularly in low-light settings. Now, researchers have designed a robust model with noise suppression and illumination-adaptive features that enhance the accuracy and consistency of anomaly detection across diverse surfaces and textures in poorly lit industrial environments.
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