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Intelligent Emergency Response System for Police Vehicles in India

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Book cover New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 312))

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Abstract

When faced with emergency situations there might be several critical factors that could preclude the possibility for the victims to call for the help. In situations like kidnapping, rape, robbery making use of the traditional voice based methods to call for the help might alert the offenders and put the victim’s life at a greater risk. This paper proposes an Emergency Response System (ERS), which focuses on developing an alternate mechanism through human computer interaction whereby the help can be called through a single press of a button and the locations of the callers are tracked in real time by the police vehicles. In the proposed system, the administrator can view the performance of all the police vehicles at any time through a web portal. The system used traditional data mining algorithms in order to analyze crimes in different areas of a city and at different times of the day. Based on this crime mapping, the administrator assigns patrol schedules for different police vehicles throughout the day. The proposed system would make it very easy for people to call for the help, and the police authorities to know the locations of the callers and identify crime hot spots and the administrator to keep track of the performance of each police vehicle.

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References

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Correspondence to Ishan Ganeshan .

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© 2015 Springer International Publishing Switzerland

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Ganeshan, I., Memon, N. (2015). Intelligent Emergency Response System for Police Vehicles in India. In: Elleithy, K., Sobh, T. (eds) New Trends in Networking, Computing, E-learning, Systems Sciences, and Engineering. Lecture Notes in Electrical Engineering, vol 312. Springer, Cham. https://doi.org/10.1007/978-3-319-06764-3_8

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  • DOI: https://doi.org/10.1007/978-3-319-06764-3_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06763-6

  • Online ISBN: 978-3-319-06764-3

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