An Intelligent Detection System for Full Crew of Elevator Car

As an indispensable vertical transportation vehicle, elevators have become an important part of the daily life and work of the public. To ensure the safety and efficiency of elevator operation, the overload protection system is installed at present. However, there are some defects in the mechanical overload protection system, which affect the efficiency of the elevator. In view of the above phenomena, this paper proposes an intelligent detection system for elevator cars. First, the system uses machine vision technology to detect the number of people and space occupancy rate to judge whether it is full, and then to make a comprehensive analysis of the signal of overloading protection system to judge whether the car is full and transmit the final signal to the elevator control center. The system can effectively improve the defects of the mechanical overload protection system and has good practical value and application value.