Safety Supervision Method of Power Work Site Based on Computer Machine Learning and Image Recognition

Author:

Li Jiaxuan,Liu Yiyang,Wang Hao

Abstract

Abstract China’s traditional power system has been unable to meet the needs of society and the development of The Times. Under the background of intelligence, it is necessary to reform the power industry and increase the application of mobile application technology in the power system, so as to realize the precise management of the power system. The application of mobile application technology in the field operation of electric power construction, based on computer machine learning and image recognition, is helpful to realize the sustainable development of electric power enterprises, improve the service level of electric power enterprises and promote the on-site safety supervision.

Publisher

IOP Publishing

Subject

General Physics and Astronomy

Reference11 articles.

1. Research of multi-object detection and tracking using machine learning based on knowledge for video surveillance system [J];Ahn;Personal and Ubiquitous Computing,2019

2. Robot Machine Vision by Deep Machine Learning [J];Lu,2019

3. Image recognition of four rice leaf diseases based on deep learning and support vector machine [J];Jiang;Computers and Electronics in Agriculture,2020

4. method and system for extracting information from unstructured text using symbolic machine learning [J];Johnson,2009

5. Machine Learning and Irresponsible Inference: Morally Assessing the Training Data for Image Recognition Systems [J];King,2019

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