A highway safety patrol system based on artificial intelligence

Abstract

The invention provides a highway safety patrol system based on artificial intelligence, which comprises a data set model module, a training model module and a model application module, and is characterized in that the data set model module comprises the image data, GPS data and image recognition data of a high-speed camera; the training model module is used for carrying out classified learning onthe data of the data set model module and storing a learning result into a database; and the model application module is used for analyzing and processing the road information collected by the monitoring vehicle, storing an analysis and processing result in a database and sending the analysis and processing result to a PC terminal or a mobile terminal. According to the invention, the road information can be comprehensively identified, the vehicle on the road is effectively monitored and reported in time, 24-hour monitoring and early warning can be achieved, passing vehicles are reminded, the manual inspection frequency is reduced, the inspection efficiency is improved, the working environment of workers is safer, the working efficiency is more efficient, the manpower and material resourcesare saved, and the road driving safety is improved.

Description

technical field [0001] The invention relates to the field of expressway safety inspection, in particular to an artificial intelligence-based expressway safety inspection system. Background technique [0002] The traditional road inspection method requires the road administration and maintenance departments to go on road inspections multiple times a day. When encountering abnormal situations, they need to get out of the car to take pictures, which puts the staff in a dangerous position, and the information of the photos taken cannot be reported in time. This method has many problems such as high labor cost, many inspection times, and low inspection efficiency. Moreover, there are many highway traffic lines, traditional inspection methods are time-consuming and labor-intensive, and the dangers they face may cause secondary accidents, which often affect the normal use of traffic because the collection of accident data is too slow, and it is impossible to provide effective warni...

AI Technical Summary

Problems solved by technology

[0002] The traditional road inspection method requires road administration and maintenance departments to go on road inspections multiple times a day. When encountering abnormal situations, they need to get out of the car to take pictures, which puts the staff in a dangerous position, and the photo information cannot be reported in time

This method has many problems such as high labor cost, high number of inspections, and low inspection efficiency.

Moreover, there are many highway traffic lines, traditional inspection methods are time-consuming and labor-intensive, and the dangers they face may cause secondary accidents, which often affect the normal use of traffic because the collection of accident data is too slow, and it is impossible to provide effective warnings for other vehicles.

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