Research on elevator intelligent monitoring and grading warning system

Autor: Yanchun Liang, Shuangchang Feng, Yiwen Ju, Kuangye Niu
Rok vydání: 2021
Předmět:
Zdroj: 2021 IEEE International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI).
DOI: 10.1109/cei52496.2021.9574579
Popis: This paper studies a new elevator intelligent monitoring and grading warning system, which uses high-definition camera and smoke alarm sensor to monitor several unsafe elevator behaviors of passengers in the elevator, including leaning against the car door, deliberately blocking the door, children riding alone, smoking in the car in real time, comprehensively and finely, and adopts the corresponding grading warning mechanism for each behavior. It can comprehensively and effectively monitor the unsafe behavior of passengers and improve the safety of passengers.
Databáze: OpenAIRE