A mine image scene classification method, device and equipment, system

Abstract

The embodiments of the present invention provide a mine image scene classification method, device, equipment, and system. The method includes: obtaining a mine scene image training sample; using the mine scene image training sample to train a classification algorithm model to obtain a mine scene classification model; The mine scene classification model is used to classify the mine scene image to be classified to obtain a classification result. The embodiment of the present invention provides a method for classifying mine image scenes. In the prior art, there are a large number of videos, but these videos are mixed together, which is inconvenient to perform specific identification processing on the videos of specific scenes in the later stage. Therefore, it is necessary to Distinguish these mine images and videos, and classify the mine image scenes in a large number of mixed videos and images, which will facilitate the identification and processing of different videos and images in the later stage.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of image recognition, and in particular to a mine image scene classification method, device and equipment, and a system. Background technique [0002] At present, my country's coal enterprises are generally equipped with coal mine safety monitoring devices, and some enterprises are also equipped with safety auxiliary decision-making devices for different disaster events in coal mines. At a higher level, security data fusion processing, video in-depth analysis and mining, and decision analysis provide support, which to a certain extent restricts the transformation and development of coal enterprises to artificial intelligence security management. [0003] Due to the complex environment of the coal mine and the non-standard operation of the operators, manual supervision is relatively difficult. The extensive application and development of digital mine video surveillance devices in coa...

AI Technical Summary

Problems solved by technology

With the rapid development of intelligent video surveillance technology, the rapid increase in the number of underground monitoring images and videos, and the continuous improvement of cloud computing power and computing depth, it is time-consuming and labor-intensive to rely solely on manual analysis of massive underground images and videos, intelligent rapid retrieval and effective management of massive of downhole images and videos are facing enormous challenges

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