Online Assembly Inspection Integrating Lightweight Hybrid Neural Network With Positioning Box Matching-Reference-Cited by-同舟云学术

Online Assembly Inspection Integrating Lightweight Hybrid Neural Network With Positioning Box Matching

Published:2023 Issue: Volume:11 Page:139223-139235
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhao Shiwen¹^ORCID,Wang Junfeng¹^ORCID,Li Wang²,Lu Longfei¹^ORCID

Affiliation:

1. Department of Industrial and Manufacturing System Engineering, School of Mechanical Science and Technology, Huazhong University of Science and Technology, Wuhan, China

2. Department of Information Technology Equipment, FiberHome Telecommunication Technologies Company Ltd., Wuhan, China

Funder

National Natural Science Foundation of China

Industrial Technology Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10347207.pdf?arnumber=10347207

Reference41 articles.

1. Classification and Quantification of Human Error in Manufacturing: A Case Study in Complex Manual Assembly

2. Repetitive assembly action recognition based on object detection and pose estimation

3. Fault Detection and Isolation in Industrial Processes Using Deep Learning Approaches

4. Surface Defect Detection of Industrial Parts Based on YOLOv5

5. Automatic detection of multi-crossing crack defects in multi-crystalline solar cells based on machine vision

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