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Design and Development of Surveillance System Using Raspberry Pi


Affiliations
1 Department of Computer Science and Engineering, SACS MAVMM Engineering College, Madurai, India
     

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This paper presents the design and the development of Surveillance System Using Raspberry Pi. This system Detects Fire and People who is Combative (one who is fighting and arguing with someone) in real-time and sends the alert message to user. The proposed Fire alarm system is a real-time monitoring system that detects the presence of smoke in the air due to fire and captures images via a camera installed inside a room when a fire occurs. The output of the proposed system is based on the threshold value and the controller sends the signals to GSM. The key feature of the system has the ability to remotely send an alert whenever a fire or Combat person is detected.


Keywords

Combative Detection, Fire Detection, Raspberry Pi, Surveillance System.
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  • Design and Development of Surveillance System Using Raspberry Pi

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Authors

R. Janani
Department of Computer Science and Engineering, SACS MAVMM Engineering College, Madurai, India
S. Merlin Mary
Department of Computer Science and Engineering, SACS MAVMM Engineering College, Madurai, India
M. Sivabalasundari
Department of Computer Science and Engineering, SACS MAVMM Engineering College, Madurai, India

Abstract


This paper presents the design and the development of Surveillance System Using Raspberry Pi. This system Detects Fire and People who is Combative (one who is fighting and arguing with someone) in real-time and sends the alert message to user. The proposed Fire alarm system is a real-time monitoring system that detects the presence of smoke in the air due to fire and captures images via a camera installed inside a room when a fire occurs. The output of the proposed system is based on the threshold value and the controller sends the signals to GSM. The key feature of the system has the ability to remotely send an alert whenever a fire or Combat person is detected.


Keywords


Combative Detection, Fire Detection, Raspberry Pi, Surveillance System.

References