Automatic Floor Changing Elevator using OpenCV

This research presents a novel approach to improve elevator functionality by implementing innovative floor selection and access control mechanisms. An ultrasonic sensor is utilized to detect individuals entering a designated area, triggering the elevator to move to the desired floor using a stepper motor controlled by Arduino UNO. Upon reaching the requested floor, face recognition is implemented using OpenCV to verify the individual's identity and grant access through a servo motor-controlled door. This dual security approach enhances elevator security and improves the overall user experience. This research study details the system design, software development, and achieved performance in terms of accuracy, speed, and efficiency. The discussion highlights the advantages of this system over existing approaches, including potential future advancements such as voice-activated floor selection, AI-powered passenger traffic management, and integration with building management systems.