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Design of Remote-Control Multi-view Monitor for Vehicle-Mounted Mobile Phone Based on IoT

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Artificial Intelligence and Security (ICAIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12239))

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Abstract

In order to improve the deficiency of traditional vehicle mounted monitor and reduce the incidence of traffic accidents, a remote control multiple view monitor for the vehicle mounted mobile phone which is based on the technology of Internet of things is designed. The monitor includes the circuit board module, the camera module and the lift rod module. The monitor controls the operation of the multiple steering gears through the embedded circuit, and then controls the rotation of the lifting rod as well as the cloud deck which carries the camera; the router is used to generate the wireless signals which connect the mobile phone, and the mobile phone is used to send instructions and receive the collected signals. The monitor can realize the lifting and rotation of the camera through the remote control with the mobile phone, implementing acquisition of the scenes in multiple directions. With this monitor, it is possible to carry out the auxiliary observations while the vehicle is moving forward, backing up or perform the side parking or in the case that there is any high obstacle in front of the vehicle, and this will be helpful in avoid traffic accidents in an effective manner. This monitor can also be used for the household monitoring, the commercial monitoring as well as the monitoring in the public security system and the traffic system.

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Correspondence to Ning Cao .

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Ni, Q., Ji, M., Cao, N., Du, S., Huo, W. (2020). Design of Remote-Control Multi-view Monitor for Vehicle-Mounted Mobile Phone Based on IoT. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Lecture Notes in Computer Science(), vol 12239. Springer, Cham. https://doi.org/10.1007/978-3-030-57884-8_63

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  • DOI: https://doi.org/10.1007/978-3-030-57884-8_63

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57883-1

  • Online ISBN: 978-3-030-57884-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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