Integration of Artificial Intelligence in Elevators

Abstract

In this work, a smart elevator system combining artificial intelligence and Schneider automation is proposed. A Raspberry Pi 5 is used for intelligent decision-making, facial recognition, and predictive maintenance, supported by DHT and MPU6050 sensors that monitor temperature, humidity, and vibration. A Schneider TM221CE16T PLC controls the motor, door movement, and essential elevator processes, while real-time data from the Raspberry Pi ensures accurate and safe operation. The system also includes a Magelis HMI programmed with Vijeo Designer to provide clear visualization and manual control. This integrated design enhances safety, reliability, performance, and user interaction within the smart elevator.