Design and Development of a Motion Sensor-Based Security Alarm System using Artificial Intelligence, Arduino, and GSM Module: Potential Improvements

This study presents the design and development of a motion sensor-based security alarm system using artificial intelligence (AI), Arduino, and a GSM module. The system detects intruders and alerts homeowners or security personnel through SMS notifications. When an intruder is detected, the Arduino Uno microcontroller triggers the buzzer and alarm, displaying a warning message on the liquid crystal display (LCD). The GSM module sends a short message service (SMS) to a pre-registered mobile number, utilizing AT commands for communication. The system's performance is evaluated based on its accuracy, response time, and reliability, showing effectiveness in detecting motion and sending alerts with minimal false alarms. Potential improvements include integrating additional sensor types, leveraging machine learning to reduce false alarms, incorporating IoT capabilities for remote control and monitoring, and upgrading hardware components for enhanced functionality and speed.