Traffic safety management and control method and system

Abstract

The invention provides a traffic safety management and control method and system in the technical field of traffic safety, and the method comprises the following steps: S10, a bus collects the face data of passengers getting on the bus, generates the current positioning data, and uploads the face data, the positioning data and a current timestamp to a traffic server; step S20, the traffic server extracts portrait features after preprocessing the face data; step S30, the traffic server calls a personnel database of the server based on the portrait features to perform identity matching so as to obtain identity data; s40, the traffic server stores the face data, the positioning data, the current timestamp and the identity data, and displays the data on an electronic map in real time; and step S50, the traffic server pre-stores a list library of monitoring personnel, checks the identity data based on the list library to generate a check result, displays the check result through an electronic map, and carries out danger early warning. The invention has the advantage that the safety of the bus and passengers is greatly improved.

Description

technical field [0001] The invention relates to the technical field of traffic safety, in particular to a traffic safety control method and system. Background technique [0002] The bus is not only an important means of public transportation for citizens to travel, but also a public place that involves the safety of citizens' personal and property. It is related to the people's livelihood. It is necessary to increase the control of various behaviors in the bus to prevent the occurrence of various cases. However, for the safety control of buses, traditionally there are the following shortcomings: [0003] 1. The video image captured by the camera is transmitted back to the central platform through the Internet, but the video image is stored in the front end and the video image is blurred. When the front end is online, the video surveillance video can be retrieved through events, but early warning cannot be achieved; 2. Department Inter-departmental data is not shared, result...

AI Technical Summary

Problems solved by technology

[0003] 1. The video image captured by the camera is transmitted back to the central platform through the Internet, but the video image is stored in the front end and the video image is blurred. When the front end is online, the video surveillance video can be retrieved through events, but early warning cannot be achieved; 2. Department Inter-departmental data is not shared, resulting in omissions in safety management and control, and inter-departmental linkages are coordinated in a traditional way, which is inefficient; 3. In addition to post-statistics for credit card users, it is impossible to count the number and verify the identity of cash-paying passengers; 4. It is impossible to carry out early warning and control of relevant monitoring personnel, and there is no perception, no prevention, and no reminder of the potential risks of all passengers

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