Deep learning methods for object detection in smart manufacturing: A survey

HM Ahmad, A Rahimi - Journal of Manufacturing Systems, 2022 - Elsevier
Object detection for industrial applications refers to analyzing the captured images and
videos and finding the relationship between the detected objects for better optimization, data …

Recent advances in surface defect inspection of industrial products using deep learning techniques

X Zheng, S Zheng, Y Kong, J Chen - The International Journal of …, 2021 - Springer
Manual surface inspection methods performed by quality inspectors do not satisfy the
continuously increasing quality standards of industrial manufacturing processes. Machine …

FPGAN: Face de-identification method with generative adversarial networks for social robots

J Lin, Y Li, G Yang - Neural Networks, 2021 - Elsevier
In this paper, we propose a new face de-identification method based on generative
adversarial network (GAN) to protect visual facial privacy, which is an end-to-end method …

[HTML][HTML] Steel surface defect recognition: A survey

X Wen, J Shan, Y He, K Song - Coatings, 2022 - mdpi.com
Steel surface defect recognition is an important part of industrial product surface defect
detection, which has attracted more and more attention in recent years. In the development …

Object detection recognition and robot grasping based on machine learning: A survey

Q Bai, S Li, J Yang, Q Song, Z Li, X Zhang - IEEE access, 2020 - ieeexplore.ieee.org
With the rapid development of machine learning, its powerful function in the machine vision
field is increasingly reflected. The combination of machine vision and robotics to achieve the …

[HTML][HTML] A deep context learning based PCB defect detection model with anomalous trend alarming system

JY Lim, JY Lim, VM Baskaran, X Wang - Results in Engineering, 2023 - Elsevier
The quality of a printed circuit board (PCB) is paramount towards ensuring proper
functionality of electronic products. To achieve the required quality standards, substantial …

Internal defects detection and classification in hollow cylindrical surfaces using single shot detection and MobileNet

I Shafi, A Mazahir, A Fatima, I Ashraf - Measurement, 2022 - Elsevier
Surface defect inspection, detection, and classification in hollow cylindrical surfaces such as
pipes and barrels have a significant impact on the structural integrity of various industrial …

A YOLO-based real-time packaging defect detection system

DL Pham, TW Chang - Procedia Computer Science, 2023 - Elsevier
Managing the quality of products is one of the primary concerns in manufacturing production
to obtain better operational efficiency in factories. In recent years, there have been …

Aeroengine blade surface defect detection system based on improved faster RCNN

L Yixuan, W Dongbo, L Jiawei… - International Journal of …, 2023 - Wiley Online Library
Aiming at the difficulty of automatic blade detection and the discontinuous defects on the full
image, an aeroengine blade surface defect detection system based on improved faster …

A smart system for personal protective equipment detection in industrial environments based on deep learning at the edge

G Gallo, F Di Rienzo, F Garzelli, P Ducange… - IEEE …, 2022 - ieeexplore.ieee.org
Real-time object detection is currently used to automate various tasks in industrial
environments. One of the most important tasks is to improve the safety of workers by …