Deep learning-based mobile device positioning and tracking system and use method thereof
A mobile device and deep learning technology, which is applied in the field of wireless communication, can solve problems such as unsuitable for regional positioning, incapable of active tracking, incapable of behavior prediction, etc.
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[0032] The implementation of the hardware system is as follows:
[0033] The hardware system consists of three parts: server, application client and detection client. The server and the application client are connected through a LAN or the Internet, and the application client uses a PC or a mobile terminal; the detection client and the server are connected through the Internet, and a wired network connection can also be used when network conditions permit. The system includes multiple physical areas, and each area is installed with one or more detection clients. The detection client includes two network cards, one of which is used to communicate with the server; the other is a wireless network card, which is used to detect surrounding mobile devices , the detection client can be a PC or a mobile device.
[0034] A database is installed on the server, and the database records area information, area map information, detection device metadata, and mobile device attribute data. ...
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