Abstract:
The use of Internet of Things applications in our daily lives has exploded in recent years. Due to the unique properties of the IoT systems, the detection of intruders, monitoring and tracking of objects or asset removed from the store in real-time is a difficult problem in Muhabura Integrated Polytechnic College.
This research was conducted at Muhabura Integrated Polytechnic College, where a smart security system was developed and installed in the campus stores and laboratories to monitor the status of the equipments in different labs as well as the detection of students and other persons who illegally enter in the campus stores.
The developed IoT based smart security system will help business owners, storekeepers and security authorities to get real time information about the status of their store on-site and remotely through an android smart phone application and ThingSpeak platform.
The sensing unit for motion and image detection is one of the three main components of this system architecture. A PIR motion sensor and an ESP32 camera, along with an RFID system and a DS3231 real-time clock, were utilized in this unit to detect unauthorized movement during the night and to capture real-time pictures of the items that were taken out of the store. The second component of this project, the processing unit, employed an ESP8266 NodeMCU to process the data gathered and send it to a web server. Through an Android smart phone App, security authorities and storekeepers can access this web server to know the status of the stock. An LCD monitor is used for on-site surveillance. The cloud computing section was used for data storage, retrieval, and additional analysis using the Thingspeak platform makes up the study's final part. The researcher will go over the system architecture in details and demonstrate its performance using a real-world hardware based experimental configuration.
