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Remote Training System for Safe Driving in Dangerous Goods Transportation Based on Facial Recognition

A dangerous goods transportation and safe driving technology, applied in the field of remote training system, can solve the problems of high cost, inability to effectively monitor the training situation of dangerous goods practitioners, and no time and opportunity for centralized training, so as to achieve the effect of ensuring safe transportation

Active Publication Date: 2018-05-11
ZHENGZHOU FENGHUOTAI ELECTRONICS CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] But because drivers often go out, there is no time and opportunity for intensive training
In view of the current problems that dangerous goods transportation companies conduct safety training for drivers and passengers, the time is inconvenient, the cost is high, and the management department cannot effectively monitor the training of dangerous goods practitioners, this system is specially developed

Method used

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  • Remote Training System for Safe Driving in Dangerous Goods Transportation Based on Facial Recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] like figure 1 As shown, a remote training system for safe driving of dangerous goods transportation based on facial recognition, which includes:

[0018] Input the device, collect the practice qualification certificate number of the person to be trained through the device, and transmit the practice qualification certificate number to the processor;

[0019] The communication module is connected to the Yunzheng Network for communication, and can obtain the avatar photos of the practitioners from the Yunzheng Network, and transmit the avatar photos to the processor;

[0020] The camera, in the process of training or examination, takes pictures of the head of the training personnel in real time, obtains the actual avatar picture, and transmits the actual avatar picture to the processor;

[0021] A processor, which is connected to the input device, the communication module and the camera; the processor performs a recognition operation on the avatar photo and the actual ava...

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PUM

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Abstract

A remote training system for safe driving in dangerous goods transportation based on facial recognition, which includes: the input device collects the professional qualification certificate number of the personnel to be trained through the device, and transmits the professional qualification certificate number to the processor; the communication module communicates with the transportation administration network , and can obtain the avatar photos of practitioners from Yunzheng.com, and the avatar photos will be sent to the processor; during the training or examination process, the camera will take real-time photos of the heads of the personnel being trained to obtain the actual avatar pictures, and send The actual avatar picture is sent to the processor; the processor is connected with the input device, the communication module and the camera; the processor performs recognition calculation on the avatar photo and the actual avatar picture.

Description

technical field [0001] The invention relates to a remote training system, in particular to a remote training system for dangerous goods transportation practitioners. Background technique [0002] With the economic development and social progress, the transportation of dangerous goods on the road such as liquefied gas, petroleum, chemicals, fireworks and firecrackers is increasing day by day. Once these dangerous goods transport vehicles have an accident, it will cause great harm. Therefore, the safety of dangerous goods transportation has received more and more attention, and it is also necessary to strengthen the driving training of dangerous goods transportation practitioners. [0003] However, since drivers often go out, there is no time and opportunity for intensive training. This system is specially developed in view of the inconvenient time, high cost, and inability of the management department to effectively monitor the training of dangerous goods practitioners in th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G09B19/16G06K9/00H04N7/18
CPCH04N7/18G09B19/167G06V40/172
Inventor 林长春李鹏云林楠宋伟韩向阳吕瑞雪李晓燕
Owner ZHENGZHOU FENGHUOTAI ELECTRONICS CO LTD