Re-engineering Real-time Intrusion and Burglary Detection using Fuzzy Technique

Abstract

The alarming rate of burglary and theft across the country, which has drawn societal security concerns, increased individual and government spending in protection of lives and properties, necessitated the urgent need to design and implement an automated building intrusion and theft detection system. In this paper, a burglary and theft detection system using Fuzzy Logic and Short Message Service (SMS) system that will detect intruders and report this crime on a real-time was realized. The design approach combines the acquisition of vibration signal obtained from the burgles/intruder(s) by microcontroller-based accelerometer, intrusion detection logic built on the Fuzzy Inference System installed and configured on a cloud infrastructure with an alerting system which communicates on a real time basis to the appropriate authorities of an intrusion/burglary. This phenomenal innovation and breakthrough in intrusion detection systems will bring about the detection and prosecution of intruders/burglars and thieves in the societythus reducing the level of crime.