Introduction:
Theft is a common problem faced by people worldwide. Theft detection is a major challenge for security systems. In this project, we aimed to develop a low-cost solution for theft detection using the NODEMCU module. This project aims to develop a system that can detect theft and send an alert message to the owner.
Hardware Used:
The hardware used in this project is the NODEMCU module, PIR motion sensors, and buzzer. The NODEMCU module is an open-source development board based on the ESP8266 chip. PIR motion sensors detect the movement of a person and trigger an event. The buzzer is used to alert the owner when theft is detected.
Software Used:
The software used in this project is the Arduino IDE. We have used the programming language C++ for coding the software. We have used the ESP8266WiFi library to connect the NODEMCU module to the Wi-Fi network. We have also used the PubSubClient library to publish and subscribe to MQTT messages.
Working:
The system is designed to detect the presence of a person using PIR motion sensors. When the sensors detect the presence of a person, the NODEMCU module sends an alert message to the owner's phone. The alert message is sent using the MQTT protocol. We have used a cloud-based MQTT broker for this purpose.
When the system detects the presence of a person, it triggers the buzzer to sound an alarm. This alarm will alert the owner to the presence of a thief. The system will continue to send alert messages until the owner disables the system.
Conclusion:
Theft detection is an important application of the Internet of Things (IoT). This project demonstrates a low-cost solution for theft detection using the NODEMCU module. The system can detect the presence of a person and send an alert message to the owner's phone. The system ifuture scope:
This project can be extended further by integrating it with other security systems such as CCTV cameras and door locks. The CCTV cameras can be used to capture the image of the thief, and the door locks can be controlled using the NODEMCU module. The system can also be integrated with machine learning algorithms to improve the accuracy of detection and reduce false alarms.
Limitations:
The PIR motion sensors used in this project are not always accurate and can be triggered by other factors such as pets and moving objects. The range of the PIR motion sensors is limited, and it can only detect motion within a certain range. The system may also be affected by network connectivity issues, which can result in delayed or lost alert messages.
Challenges faced:
During the development of this project, we faced a few challenges. The initial challenge was to find the appropriate hardware components that were compatible with the NODEMCU module. We had to do extensive research to find the appropriate PIR motion sensors and buzzer that were compatible with the module.
Another challenge was the programming aspect of the project. We had to learn the programming language C++ and the Arduino IDE. We also had to understand the working of the ESP8266 chip and the various libraries used in this project.
We also faced challenges in setting up the MQTT broker and connecting the NODEMCU module to the Wi-Fi network. We had to troubleshoot and debug the code to ensure that the system was functioning properly.
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