IoT enabled modulated residential surveillance system using Fuzzy logic

Nowadays, surveillance systems are more important to monitor the activities of persons, animals and
others. Usually, these kinds of surveillance systems are required in factories, institutions, banks and other
public sector units. But in the modern lifestyle, everyone uses such kind of surveillance approach to safe-
guard their residence. Therefore Surveillance logics accommodated with many features provides the cli-
ents with some security alert techniques such as Remote Monitoring, Instant Alert Mechanisms, Sound
Enabling, Artificial Intelligence etc. In addition to that, this paper introduces a fuzzy logic to provide best
probability to offer a more secure environment to the customer. The concept of Fuzzy logic usually attains
a maximum success ratio on probabilistic condition. The same logic is applied on this paper to attain
more benefits on the residence surveillance system. Also, this kind of surveillance systems is helpful to
monitor whether the children, as well as aged persons, are safe or not. The proposed approach provides
a proper solution to certain surveillance-based issues and builds a prompt smart device with Internet of
Things (IoT) support. The device consists of WiFi Camera, Passive-InfraRed (PIR) Sensor, Buzzer Unit, GSM
and GPS Module. The WiFi camera streams the media data to the server for monitoring the residence in
live manner as well as the PIR sensor captures the human images and alert accordingly. The concept of
IoT plays a vital role in this system and the sensor details are gathered from the smart device and forward
it to server for surveillance. The previously trained module on server identifies the flaws over the scenario
and provides the appropriate response for such cases. This method provides a best solution to attain high
level of security over the residence.