Transportation route monitoring method based on artificial intelligence

Abstract

The invention relates to the technical field of artificial intelligence, in particular to a transportation route monitoring method based on artificial intelligence. The method comprises the following steps: acquiring an initial state image after loading of a muck truck is completed; performing Gaussian downsampling on each frame of monitoring image in the transportation process of the muck truck to obtain a plurality of sampling images; obtaining a plurality of matching point pairs according to the initial state image and each sampling image; when the confidence coefficient mean value is smaller than a preset threshold value, a Gaussian kernel of Gaussian down-sampling is adjusted, and a plurality of preferable sampling images corresponding to each frame of monitoring image are obtained again; obtaining the matching degree of each frame of monitoring image according to the first matching degree of each preferable sampling image; and performing early warning on a driver of the slag car according to the matching degree of the multiple frames of monitoring images. The utilization rate of the road monitoring camera is improved, the processing timeliness is improved, and high-reliability real-time transportation monitoring is provided.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based transportation route monitoring method. Background technique [0002] With the development of the transportation industry and the deepening of the Internet of Things and Internet of Vehicles technologies, the monitoring and management of vehicles has formed a certain scale management. Although the management is becoming more and more refined, there are still many illegal phenomena such as "doing more and running quickly", so that the safety accidents in the process of road transportation are also increasing; the supervision of vehicles has overflowed with higher technical requirements, and more Many innovative technologies have been integrated into the Internet of Vehicles, and the development of Beidou technology has further promoted the development of Internet of Vehicles terminal technology. [0003] The current monitoring meth...

AI Technical Summary

Problems solved by technology

In the GPS positioning module, only the approximate location of the vehicle can be located, and the current running state of the vehicle cannot be determined. Many vehicles may have overspeed during driving, and the overspeeding of the muck truck can easily cause the muck to fall; even In order to reduce fuel consumption, some drivers dump garbage indiscriminately; dumping garbage on the driveway or randomly dumping garbage will bring great inconvenience to municipal management, and the existing monitoring methods are low in reliability. Reliable and effective transport monitoring cannot be achieved

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