Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Correction to "Fluorescence Imaging-Incorporated Transcriptome Study of Glutathione Depletion-Enhanced Ferroptosis Therapy via Targeting Gold Nanoclusters".

ACS applied materials & interfaces·2025

Same author

Functional differentiation of Sojae semen Praeparatum: A multi-omics analysis of the effects of Artemisia annua and Mori folium on composition, microorganisms, and functional characteristics.

Food research international (Ottawa, Ont.)·2025

Same author

Self-Calibrated Identification of Metastatic Lymph Nodes Using Full-NIR-II Tunable Ag<sub>2</sub>Se Quantum Dots Engineered by Short-Chain Phosphines.

Small (Weinheim an der Bergstrasse, Germany)·2025

Same author

Correction: Therapeutic mechanisms of Lycii Fructus in male infertility: a comprehensive review.

Frontiers in pharmacology·2025

Same author

Dexamethasone-Appended Activatable Prodrug Overcoming Multidrug Resistance.

Journal of medicinal chemistry·2025

Same author

MiR-ON-CRISPR: a microRNA-activated CRISPR-dCas9 system for precise gene therapy in living cells and mouse models of sepsis.

Nucleic acids research·2025

Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026

Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026

Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026

Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026

Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026

Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jan 9, 2026

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

Research on metal surface defect detection method based on deep learning.

Yuqin Feng¹, Geng Sun², Yawei Zhao²

¹International Navigation College, Hainan Tropical Ocean University, Sanya, China.

Scientific Reports

|December 5, 2025

Summary

This summary is machine-generated.

This study introduces CDA-YOLOv8, an enhanced YOLOv8s model for aluminum profile surface defect detection. It significantly improves accuracy for defects like scratches and paint bubbles, achieving higher mean average precision (mAP).

Keywords:

CDA-YOLOv8 Deep learning Metal surface defect detection Object detection

More Related Videos

Picometer-Precision Atomic Position Tracking through Electron Microscopy

Picometer-Precision Atomic Position Tracking through Electron Microscopy

Published on: July 3, 2021

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Related Experiment Videos

Last Updated: Jan 9, 2026

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

Picometer-Precision Atomic Position Tracking through Electron Microscopy

Picometer-Precision Atomic Position Tracking through Electron Microscopy

Published on: July 3, 2021

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Area of Science:

Materials Science
Computer Vision
Artificial Intelligence

Background:

Existing aluminum-profile surface defect detection algorithms suffer from low accuracy.
Accurate detection is crucial for quality control in aluminum profile manufacturing.

Purpose of the Study:

To develop an improved deep learning model for accurate aluminum-profile surface defect detection.
To enhance the detection of small and micro-defects on aluminum profiles.

Main Methods:

An improved YOLOv8s-based model, CDA-YOLOv8, was proposed.
Key modifications include CG Block, Dilation-Wise Residual (DWR) module in C2f, and an ASFP2 Detection Layer integrated into the YOLOv8s Neck.
These components enhance multi-scale feature extraction and small-object detection.

Main Results:

The CDA-YOLOv8 model demonstrated significant improvements in detecting aluminum-profile surface defects.
On a dataset of 3,229 images with ten defect categories, the mean average precision (mAP@0.5) increased from 83.7% to 88.1%.
The model effectively detects defects such as scratches, stains, and paint bubbles.

Conclusions:

The proposed CDA-YOLOv8 model effectively addresses the limitations of existing algorithms.
The architectural enhancements lead to superior performance in aluminum-profile surface defect detection.
The approach confirms the effectiveness of integrating specialized modules for improved accuracy.