Large Area IOT-Acoustic Effective Surveillance System

Ezron Ember, Siti Zaleha Abdul Hamid*, Herlina Abdul Rahim

Abstract

This paper presents a novel large scale SM systems that identifies and restricts acoustic variations from the norm to address the difficulties of IoT acoustic surveillance systems in students residential area in a disseminated communitarian way. The project discusses the potential of this system in communitarian control and SM, quality, automated self-sorted out conduct, automatic abnormal event detection, environment security and indoor restriction. It expects to limit vitality utilization and correspondence overhead while keeping up high following quality and versatility. The proposed approach disseminates vitality four times slower than that of the famous unified approach while giving 6% higher following quality.