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Elevator car personnel intelligent recognition method based on deep learning

An elevator car, intelligent recognition technology, applied in neural learning methods, character and pattern recognition, still image data retrieval and other directions, can solve the problems of high cost and difficult to apply on a large scale

Pending Publication Date: 2020-11-06
北京电通慧梯物联网科技有限公司
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AI Technical Summary

Problems solved by technology

If real-time intelligent recognition is realized at the front end of the elevator, embedded deep learning technology needs to be used to replace the camera or add intelligent recognition hardware, which is expensive and difficult to apply on a large scale

Method used

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  • Elevator car personnel intelligent recognition method based on deep learning
  • Elevator car personnel intelligent recognition method based on deep learning
  • Elevator car personnel intelligent recognition method based on deep learning

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Experimental program
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Embodiment

[0118] Such as figure 1 shown.

[0119] A method for intelligent identification and detection of personnel status in an elevator car based on deep learning, characterized in that it comprises the following steps:

[0120] S1: Perform classification data processing on the collected images in the elevator car, and establish an image classification model data set.

[0121] S2: Perform target detection data processing on the collected images in the elevator car, and establish a target detection model data set.

[0122] S3: Construct an image classification network based on convolutional neural network, and classify the car in two states of "occupied" and "unmanned". The car image data set is used for iterative training to complete the construction of the image classification model.

[0123] S4: Construct a target detection network based on a convolutional neural network to detect targets of three types of people who are not wearing a mask (nomask), wearing a mask (mask) and unc...

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PUM

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Abstract

The invention discloses an elevator car personnel intelligent recognition method based on deep learning. By identifying and analyzing the images in the elevator car, the number of people taking the elevator in the elevator car and the state that whether people taking the elevator wear masks or not are detected. Whether someone is in the lift car or not is quickly determined through a simple and efficient image classification convolutional neural network. For a person state, a target detection neural network is used to detect each person in the elevator car and simultaneously determine "mask wearing", "non-mask wearing" and "head" persons. If the person who does not wear the mask is found, reminding voice is played through the camera in the lift car. Meanwhile, the number of people taking the elevator in the elevator car is counted for flow statistics and people crowding or overload reminding.

Description

technical field [0001] The invention relates to an intelligent identification method for the state of elevator car personnel based on convolutional neural network deep learning technology, and belongs to the artificial intelligence monitoring and identification technology for elevator operation safety. Background technique [0002] Elevator is a vertical means of transportation widely and frequently used in modern human society. The elevator car is relatively closed and narrow, and the air flow is poor. During the epidemic of infectious diseases, managers require that masks be worn in elevator cars, and the number of people taking elevators should be reduced to avoid crowding. Through the means of artificial intelligence, if it is found that people in the elevator are not wearing masks, or there are too many people in the elevator, an alarm message can be sent to the relevant management personnel and the management system for further processing, such as voice reminders, and...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08G06F16/55
CPCG06N3/08G06F16/55G06V20/53G06V2201/07G06N3/045G06F18/2414G06F18/214
Inventor 高雪
Owner 北京电通慧梯物联网科技有限公司
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