IoT-Based Theft Detection Development

• Published in: Proceedings of the 2024 10th International Conference on Applied System Innovation, ICASI 2024
• Main Author: Ahmad N.; Zaki M.A.Z.M.; Nur Idawati M.E.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197198155&doi=10.1109%2fICASI60819.2024.10547907&partnerID=40&md5=d8bb0c8af876850caa2c96354aad36ee

Theft is a crime that is growing increasingly common. Every building, be it residential, commercial, or otherwise, is insecure. Security and safety are highly valued by all people. Particularly with the current environment where crimes are increasing daily, we need to feel more secure. This paper presents the development of the theft detection using Ultrasonic sensor with the aid of Internet of Things (IoT). The main parts of this project are an Arduino, an ESP8266 Wi-Fi module, and an ultrasonic sensor for user identification and notification. In this project, an ultrasonic sensor is used to identify the object. The user's Blynk app receives notifications via the ESP8266 Wi-Fi module. The primary controlling device for the project is an Arduino. An Arduino is linked to an ESP8266 Wi-Fi module and an ultrasonic sensor. The Arduino is reading data from the ultrasonic sensor continually. The sensor will identify theft when it happens and communicate the processed data to the Arduino. The alarm will sound, and the LED will light up. The user's mobile device receives notifications from Arduino about Blynk warnings via Wi-Fi. © 2024 IEEE.