System for Detecting Subway Entrance Door based on Image Deep Learning Reading

摘要

The present invention analyzes the image between the door and the screen door acquired based on deep learning and implements the function of the existing obstacle sensor to control whether the door of the train 200 is opened or closed. In order to provide a door detection system for the train 200 according to , an image reading unit that reads an image using a deep learning image semantic analysis technique using at least one or more cameras that photograph the vicinity of the entrance door of the train, and learning data stored in advance in a storage unit using the image captured by the camera and an individual control unit for controlling whether the door is opened or closed by driving a driving motor based on the result of reading the image read by the image reading unit, and transmitting the opening/closing signal of the door to the general control panel.