Auxiliary assembly human-machine interaction method based on smart glasses

被引：2
|
作者：
Xu, Kai [1 ]
Zhao, Qijie [1 ]
Kong, Yaohui [1 ]
Li, Haojie [1 ]
机构：
[1] Shanghai Univ, Shanghai Key Lab Intelligent Mfg & Robot, Sch Mechatron Engn & Automat, Shanghai, Peoples R China
来源：
2019 11TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC 2019), VOL 2 | 2019年
关键词：
smart glasses; working station identification; machine vision; operation guidance;
D O I：
10.1109/IHMSC.2019.10103
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
For large and complex manufacturing industries such as aviation, high-speed rail, and ship building, some assembly processes are complex and cannot be fully automated. Manual assembly is the main requirement, which puts high demands on assembly personnel. Aiming at the problems existing in the current way of operation guidance, a method for assembly operation to guide human-machine interaction, based on the intelligent glasses, is proposed. On the basis of computer vision, the SURF( Speed Up Robust Features) features algorithm, k-means and SVM(Support Vector Machine) constructed word bag model are used in the smart glasses terminal to recognize working station, and then support the process documents query, and a method for complex operation procedures guidance is proposed.
引用
收藏
页码：33 / 36
页数：4
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