Safety management system of electric vehicle in residential area based on target detection technology
Abstract
This paper presents a safety management system for electric vehicle in residential area based on computer vision. By
connecting with the existing cameras in the community and using the target detection technology, the intelligent identifi cation of whether
there is an electric vehicle entering the elevator and whether there is a flame at the stopping point of electric vehicle without adding
hardware equipment will be carried out in the fi rst time and the alarm information and pictures will be sent to the mobile phone of the staff .
In order to meet the design requirements, the image preprocessing is used to reduce the amount of data needed for target detection, and the
lightweight target detection model is used to detect whether there is electric vehicle or fl ame in the preprocessed data. The detection results
are transmitted to the back-end management module, and the back-end management module completes the logical realization of various
functions of the system. According to the calculation results of the data analysis module, the operation logic of the elevator electric vehicle
alarm, fl ame alarm, user login, camera management and other parts are carried out and various interfaces are connected with the human_x005fcomputer interaction interface. Man-machine interaction module is divided into web terminal and mobile terminal, and mobile terminal
supports Android system. Mainly responsible for more humanized display system to users, users more convenient use.
connecting with the existing cameras in the community and using the target detection technology, the intelligent identifi cation of whether
there is an electric vehicle entering the elevator and whether there is a flame at the stopping point of electric vehicle without adding
hardware equipment will be carried out in the fi rst time and the alarm information and pictures will be sent to the mobile phone of the staff .
In order to meet the design requirements, the image preprocessing is used to reduce the amount of data needed for target detection, and the
lightweight target detection model is used to detect whether there is electric vehicle or fl ame in the preprocessed data. The detection results
are transmitted to the back-end management module, and the back-end management module completes the logical realization of various
functions of the system. According to the calculation results of the data analysis module, the operation logic of the elevator electric vehicle
alarm, fl ame alarm, user login, camera management and other parts are carried out and various interfaces are connected with the human_x005fcomputer interaction interface. Man-machine interaction module is divided into web terminal and mobile terminal, and mobile terminal
supports Android system. Mainly responsible for more humanized display system to users, users more convenient use.
Keywords
Electric vehicle management;Object detection;fi re alarm
Full Text:
PDFReferences
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DOI: http://dx.doi.org/10.18686/modern-management-forum.v7i7.9332
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