Review of Used Mobile Phone Recognition Method for Recycling Equipment
被引:0
作者:
Wang, Zixuan
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机构:
Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R ChinaBeijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
Wang, Zixuan
[1
,2
]
Tang, Jian
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R ChinaBeijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
Tang, Jian
[1
,2
]
Cui, Chengyu
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h-index: 0
机构:
Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R ChinaBeijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
Cui, Chengyu
[1
,2
]
Li, Weitao
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h-index: 0
机构:
Hefei Univ Technol, Sch Elect Engn & Automat, Hefei 230009, Peoples R ChinaBeijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
Li, Weitao
[3
]
Xu, Zhe
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机构:
Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R ChinaBeijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
Xu, Zhe
[1
,2
]
Han, Honggui
论文数: 0引用数: 0
h-index: 0
机构:
Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R ChinaBeijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
Han, Honggui
[1
,2
]
机构:
[1] Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
[2] Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China
[3] Hefei Univ Technol, Sch Elect Engn & Automat, Hefei 230009, Peoples R China
来源:
PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE
|
2020年
关键词:
Used mobile phone (UMP);
Used mobile phone recognition (UMPR);
Recycling equipment;
Image recognition;
Artificial Intelligence;
D O I:
暂无
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
With the increase of the replacement frequency of mobile phones, the recycling of used mobile phones (UMPs) has gradually become a hot topic. UMP recycling equipment based on the internet of things technology has become one type of the main devices to recycle UMPs, but there are still some problems such that low recognition success rates and tedious recycling steps. The key to solving these problems is to improve the accuracy of UMP recognition (UMPR). In view of the above problems, this paper reviews the methods of UMPR for UMP recycling equipment, which provides support for improving recycling efficiency. First, we briefly introduce the structure and recycling process of UMP recycling equipment. Next, the four typical methods of UMPR are addressed in detail and their respective shortcomings are analyzed. Then, these methods are summarized and analyzed, and the shortcomings and deficiencies of the current UMPR methods based on artificial intelligence, especially the image recognition method are addressed. Finally, the directions for future research on UMPR are given out.