most citedAutomated Defect Detection for Mass-Produced Electronic Components Based on YOLO Object Detection Models

41 citations · 65 across the 3 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Lightweight Time-Frequency Vibration Sensing for Consumer Device Condition Monitoring

Po-Heng Chou, Jen-Yu Chiu, Chun-Yu Yeh +2

Consumer rotating devices, including washing machines, air conditioners, electric fans, robotic vacuum cleaners, and home fitness equipment, increasingly rely on vibration sensing…

cs.LG2025★ 12 cited

MECKD: Deep Learning-Based Fall Detection in Multilayer Mobile Edge Computing With Knowledge Distillation

Wei-Lung Mao, Chun-Chi Wang, Po-Heng Chou +2

The rising aging population has increased the importance of fall detection (FD) systems as an assistive technology, where deep learning techniques are widely applied to enhance acc…

cs.CV2025★ 41 cited

Automated Defect Detection for Mass-Produced Electronic Components Based on YOLO Object Detection Models

Wei-Lung Mao, Chun-Chi Wang, Po-Heng Chou +1

Since the defect detection of conventional industry components is time-consuming and labor-intensive, it leads to a significant burden on quality inspection personnel and makes it…

cs.CV2025★ 12 cited

YOLO-Based Defect Detection for Metal Sheets

Po-Heng Chou, Chun-Chi Wang, Wei-Lung Mao

In this paper, we propose a YOLO-based deep learning (DL) model for automatic defect detection to solve the time-consuming and labor-intensive tasks in industrial manufacturing. In…

eess.SP2025

CWT-Enhanced Vibration Sensing With Time-Frequency Region Localization Using YOLO

Po-Heng Chou, Wei-Lung Mao, Ru-Ping Lin +2

This letter presents a CWT-enhanced vibration sensing framework for bearing fault monitoring through localized time-frequency region detection on continuous wavelet transform (CWT)…