Integration of Artificial Intelligence in Elevators
| dc.contributor.author | NEGHZA Mohamed | |
| dc.contributor.author | BRAHIMI Iyad Kaddour | |
| dc.contributor.author | BENBETTICHE Hichem | |
| dc.contributor.author | OUHADI Aymen | |
| dc.date.accessioned | 2026-02-16T09:38:42Z | |
| dc.date.issued | 2025-06 | |
| dc.description.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. | |
| dc.identifier.uri | https://dspace.univ-bba.dz/handle/123456789/1217 | |
| dc.language.iso | en | |
| dc.publisher | Faculté des sciences et de la technologie | |
| dc.relation.ispartofseries | Département d'Electromécanique; EM/M/2025/29 | |
| dc.title | Integration of Artificial Intelligence in Elevators | |
| dc.type | Thesis |