Abstract

A smart home environment comprises various luxurious things which makes us very comfortable to live our lives happily and securely. The only problem that smart homes are facing is “SECURITY.” Security for smart homes is the biggest task to achieve. For this purpose, this work is to build a product that provides the security for the smart homes automatically when the crime is going to happen. In general case, if any crime had taken place in any smart home, the general procedure of investigation will take place i.e., the people will complain to the police and the police will visit the place and after that he will observe the surroundings clearly. In order to pull up the clues if any, he will watch the closed circuit television (CCTV) footage, consult the nearby people in-order to draw some facts and then first information report will be filed. In order to get rid of this time-consuming process, automatic crime detection is proposed. Here malware practices are identified, when a person attempts crime activity. This type of automatic process of detection of crime will ensure a complete security for the smart homes. We will track the CCTV camera pictures when the thief is trying to commit a crime and the information along with the pictures will be sent to the fog server and the fog server will analyze whether the person is doing crime or not. In case if a fog server had identified the person as a crime person or a thief then it automatically sends the information to the nearby police station and as well as owners of the house and then provides security for the smart homes.

Highlights

  • A smart home comprises various things which involves comfort, social insurance, security

  • We will track the CCTV camera pictures when the thief is trying to commit a crime and the information along with the pictures will be sent to the fog server and the fog server will analyze whether the person is doing crime or not

  • In case if a fog server had identified the person as a crime person or a thief it automatically sends the information to the near- by police station and as well as owners of the house and provides security for the smart homes

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Summary

INTRODUCTION

A smart home comprises various things which involves comfort, social insurance, security. The end/edge hub will advance the observation information to the haze at whatever point it distinguishes an occasion in the information streams This methodology can essentially be used for reducing vitality utilization and transfer speed because of the negligible measure of information transmission to the mist. Edge figuring empowers this occasion driven methodology in an objective IOT observation application by assigning straightforward handling to camera-associated, IOT -edge-hub gadgets[15]. The proposed IOT -monitor approach gives a three-layer structural system that organizes occasion driven for the gadgets to the edges in a smart home and Data load-executed mist processing hubs to address expanding human security concerns. The proposed structure incorporates picture preparing, AI PC vision, and system specialized strategies for continuous wrongdoing occasion identification, guaranteeing asset proficiency and great appropriation of the handling load in an IoT-based video observation framework

RELATED WORK
PROPOSED FRAMEWORK
User Authentication with Surveillance System
Surveillance Alert Mechanism
Findings
CONCLUSION
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