Open AccessDigital Image Processing Technology in Design and Development of Automatic Sorting System for Energy Meter Recovery
Author(s) -
Hao Hu,
Bo Liu,
Wen Jie Li,
He Liu Sun,
Tang Sen Ni
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2143/1/012042
Subject(s) - sorting , computer science , electricity meter , sort , artificial neural network , electricity , interface (matter) , construct (python library) , metre , image processing , artificial intelligence , real time computing , image (mathematics) , database , engineering , operating system , algorithm , electrical engineering , power (physics) , physics , bubble , quantum mechanics , maximum bubble pressure method , astronomy , programming language
In order to solve the problems of low sorting efficiency and poor quality caused by manual sorting in traditional electricity meter recovery, this study adopts digital image processing technology to construct an automatic sorting system for electricity meter recovery based on artificial neural network. Firstly, the basic requirements of system construction are analyzed in detail, and then the principle and method of image recognition of artificial neural network are introduced in detail. On this basis, an overall framework of automatic sorting of electricity meter recovery is constructed. Finally, the functional modules are designed and applied, and Azure database is built through SQL Server platform, so as to realize the system application of this research. The final application shows that the automatic sorting system constructed by this study has simple interface and easy operation, which can greatly improve the efficiency and quality of the electricity meter recycling and sorting, and has certain practical significance for the development of the state grid industry.