FINGER PRINT AND IOT BASED SECURITY ALERT SYSTEM FOR UNAUTHORIZED AREA USING WSN

Authors

  • Mrs.B. VASANTHA LAKSHMI Author
  • GUNNAM ANUSHA Author
  • ROOHI SAFINA Author
  • SHAIK ABDUL SHAMMAHASIMI Author
  • THANGELLA LVV SAI SATISH Author
  • SHAIK MOHAMMOD MASTHAN BASHA Author

Keywords:

wireless sensor networks (WSNs), banks, jewellery stores, electronic stores

Abstract

Recently wireless sensor networks (WSNs) have appealed a great deal of interest in the
research community due to its wide variety of applications. Wireless networking replaces a
wired system which has become very complex and hard to set up. Security and control for
business places like banks, jewellery stores, electronic stores etc. is one of the basic needs. But
the rapidly evolving infrastructure needs to be modified to ensure extensive coverage,
reliability, remote control, and real-time service. Attractive benefits and user-friendly interface
can be achieved by deploying wireless technologies for security system. In this paper,
implementation of a novel security system for banks monitoring is presented. Using Zigbee
network enabled technology, we can make our business places more secure and provide high
level of security against robbery and other malicious activities. This system consists of Zigbee
modules, microcontroller, voltage regulator and various sensors. Different sensors are
deployed to sense the environment and send alert notifications through IoT to the concerned
people. The sensors would sense abnormal activity especially at night and send signals through
the Zigbee network to WiFi module. After receiving signal at the receiver module, it will send
message to owner or any other required destination. Zigbee technology is used because of its
reliability, low power consumption, low data rate, simplicity and flexibility. In addition to that,
when a person enters into the shop/premises he/she need to place their finger on the biometric
sensor. If it is identifies then the alarm signals will be deactivated and the person who entered
that information will be update in the cloud app using internal Wi-Fi module of the NlodeMCU
microcontroller

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Published

01-02-2024

How to Cite

FINGER PRINT AND IOT BASED SECURITY ALERT SYSTEM FOR UNAUTHORIZED AREA USING WSN. (2024). International Journal of Marketing Management, 12(1), 127-135. https://ijmm.in/index.php/ijmm/article/view/123