A Two-Stage Screw Detection Framework for Automatic Disassembly Using a Reflection Feature Regression Model

A Two-Stage Screw Detection Framework for Automatic Disassembly Using a Reflection Feature Regression Model

For remanufacturing to be more economically attractive, there is a need to develop automatic disassembly and automated visual detection methods. Screw removal is a common step in end-of-life product disassembly for remanufacturing. This paper presents a two-stage detection framework for structurally...

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Bibliographic Details
Main Authors: Quan Liu, Wupeng Deng, Duc Truong Pham, Jiwei Hu, Yongjing Wang, Zude Zhou
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Micromachines
Subjects:
robotic disassembly
screw detection
illumination condition
reflection feature
data learning
Online Access:https://www.mdpi.com/2072-666X/14/5/946

Internet

https://www.mdpi.com/2072-666X/14/5/946

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