AI and IoT-Enabled Smart Surveillance System Using Raspberry Pi 3

Abstract

This project focuses on developing an IoT-enabled CCTV surveillance system that combines affordability, scalability, and advanced real-time monitoring features. The system utilizes a Raspberry Pi as the central controller, integrated with two mobile phones functioning as cameras, all connected over the same network. Leveraging motionEye OS, a lightweight and efficient operating system designed for motion detection, continuously monitors camera video feeds. When motion is detected, the system initiates a dual-alert mechanism: a notification is sent to the owner via Telegram, accompanied by a detailed message, and a snapshot or video of the detected motion is captured and securely uploaded to Dropbox for remote viewing and long-term storage.

This innovative approach enhances security by providing users with immediate access to live and recorded footage through cloud-based solutions, ensuring quick response times to potential security breaches. The highly customizable system supports various configurations for different environments, such as homes, offices, or small-scale businesses. By integrating Raspberry Pi, mobile devices, and cloud services, this project demonstrates the potential of IoT technology in building cost-effective and efficient surveillance systems that are both user-friendly and reliable.