Automatic Camera and Infrared Movement Detection and Email Alert System

Abstract

In order to improve security and monitoring capabilities, this project demonstrates the creation of an automated motion detection and alarm system utilising a Raspberry Pi, camera, and infrared (IR) sensors. In order to detect movement, the system uses infrared (IR) sensors that are attached to the Raspberry Pi. The camera then takes pictures of the action that is observed. Users are notified instantly upon detection, as an email notice is created that includes the taken image. With real-time monitoring and the ability to notify users of any unexpected behaviour, this system provides a productive and economical means of keeping an eye on particular regions. In both residential and commercial settings, the combination of visual data and immediate warnings improves situational awareness and supports preventative security actions.

Introduction

The text presents a project aimed at improving security and surveillance by developing an automated motion detection and alert system that integrates infrared (IR) sensors and image-based techniques using a Raspberry Pi. Traditional systems relying solely on IR sensors or cameras have limitations such as false alarms, lack of visual confirmation, or poor performance in low light. This proposed system combines both approaches to enhance accuracy and provide real-time alerts.

When motion is detected by IR sensors, the camera captures an image and sends it via email to the user for immediate visual verification. The system also uses an LCD display to show status messages and a buzzer to produce audible alerts. Powered by a Raspberry Pi, this setup is cost-effective and suitable for homes and businesses needing reliable intrusion detection.

Testing confirmed the system’s effectiveness in accurate motion detection, timely notifications, and reduced false alarms, making it a robust solution for real-time security monitoring.

Conclusion

The proposed automated motion detection and alert system effectively integrates infrared sensors and image-based techniques to enhance security monitoring. By utilizing a Raspberry Pi, the system reliably detects movement, captures real-time images, and sends instant email notifications, ensuring users are promptly informed of any suspicious activity. The inclusion of an LCD display and buzzer further improves situational awareness. Compared to traditional systems, this approach reduces false alarms and enhances reliability, making it a cost-effective and efficient solution for both residential and commercial security applications.

References

[1] Khirod C. Sahoo, Umesh C. Pati, \"IoT Based Intrusion Detection System Using PIR Sensor,\" in Proceedings of the 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT’17), IEEE, 2017. [2] Bhakti Jadhav, Parth Deshmukh, Nikhil Bajaj, \"Motion Activated Security System,\" 2019. [3] ShradhaSomani, ParikshitSolunke, ShaunakOke, ParthMedhi, P.P. Laturkar, \"IoT Based Smart Security and Home Automation,\" in Proceedings of the 4th International Conference on Computing Communication Control and Automation (ICCUBEA’19), IEEE, 2019. [4] A. Khan, M. Iqbal, \"A Motion Detection-Based Surveillance System (MDSS),\" in The First International Conference on Informatics and Computational Intelligence (ICI), 2011. [5] Akansha Singh, Deepa Gupta, Neetu Mittal, \"Enhancing Home Security Systems Using IoT,\" in Proceedings of the 3rd International Conference on Electronics, Communication and Aerospace Technology (ICECA’19), IEEE, 2019. [6] Li Fang, Zhang Meng, Claire Chen, Qian Hui, \"Smart Motion Detection Surveillance System,\" in 2009 International Conference on Education Technology and Computer, Singapore, 2009.

Copyright

Copyright © 2025 Mr. P. Haribabu, Pilli Sai Krishna, Nikhita Ganta, Kolluri Vinayaka Karthikeya, Ayinampudi Krishna Chaitanyavarma. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.