SafeEntry Garage: A Motion-Activated Automatic Door System for Enhanced Security

Automatic door systems are designed to reduce manual effort and improve accessibility, safety, and convenience in public and private spaces. This study presents the design and development of a Motion Activated Automatic Garage Door System using an Arduino microcontroller, sensors, and motor control to detect object presence and operate the garage door automatically. Related studies by Orji et al. (2019) and Gupta et al. (2020) demonstrate that ultrasonic and infrared sensors integrated with Arduino platforms provide reliable and low-cost solutions for door automation. A descriptive–experimental research design was employed to develop and evaluate the proposed system in a controlled environment using a toy as the triggering object. The system performance was assessed in terms of sensor detection accuracy, response time, and reliability of the door opening and closing mechanism. Results indicate that the Arduino-based system responds efficiently to object detection and performs consistent door automation. The study contributes to existing research on embedded systems by demonstrating a simple, affordable, and educational approach to motion-activated garage door automation.