School Bus Monitoring System Using Raspberry Pi

Authors

  • R. Abhishek Department of Computer Science and Engineering, K.S.I.T College, Bengaluru, Karnataka, India
  • K. Goutami Department of Computer Science and Engineering, K.S.I.T College, Bengaluru, Karnataka, India
  • K. R. Gurudath Department of Computer Science and Engineering, K.S.I.T College, Bengaluru, Karnataka, India
  • M. Nesar Department of Computer Science and Engineering, K.S.I.T College, Bengaluru, Karnataka, India
  • S. R. Deepa Department of Computer Science and Engineering, K.S.I.T College, Bengaluru, Karnataka, India

DOI:

https://doi.org/10.51983/ajcst-2017.6.2.1788

Keywords:

Raspberry Pi, Radio Frequency Identifier, Hall effect sensor, Pi camera

Abstract

An advanced and novel system for monitoring and tracking the school van to ensure the safety of children, the proposed system works in case of emergencies such as accidents, break down, fire accidents by immediately sharing the location and images of the inside environment of the bus to the school authorities. Images are captured using Pi camera and location by GPS module. Radio Frequency Identifier (RFID) tags are used to track the number of students travelling. A panic switch and two keys are provided. Keys are used if vehicle gets stuck in traffic and in the case of vehicle breakdown. An email alert will be sent to the parents. Panic switch is used in case of emergency. In each case email is attached with the images of the inside environment of the bus. The system possess the hall effect sensor to sense the speed of the vehicle, In case of rash driving the sensor intimates the Raspberry Pi and an alert is sent to the school authority through email.

References

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Published

03-07-2017

How to Cite

Abhishek, R., Goutami, . K., Gurudath, K. R., Nesar, M., & Deepa, S. R. (2017). School Bus Monitoring System Using Raspberry Pi. Asian Journal of Computer Science and Technology, 6(2), 1–4. https://doi.org/10.51983/ajcst-2017.6.2.1788

Issue

Vol. 6 No. 2 (2017): July-December 2017

Section

Articles

License

Copyright (c) 2017 The Research Publication

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.