Real-time supervision system for mining resources based on video surveillance
Konferenz: AIIPCC 2021 - The Second International Conference on Artificial Intelligence, Information Processing and Cloud Computing
26.06.2021 - 28.06.2021 in Hangzhou, China
Tagungsband: AIIPCC 2021
Seiten: 7Sprache: EnglischTyp: PDF
Xie, Zhiying; Liang, Qihao; Xu, Huarong (Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Fujian, Xiamen, China)
He, Yuanrong (Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Fujian, Xiamen, China & Ecological Environment and Its Information Atlas, Fujian Provincial Key Laboratory of Higher Education (Putian University) Fujian, Xiamen, China)
In recent years, as the price of domestic ore resources has continued to rise, some companies have not hesitated to violate mining contracts and mining regulations in order to maximize profits. Due to the lack of regulatory measures that match today's advanced mining technologies, the regulatory agencies found that the environment and state-owned resources have been severely damaged and embezzled when they discovered illegal mining in mines. In response to this phenomenon, this paper will explain how to implement a comprehensive supervision system that can supervise illegal mining phenomena such as cross-border mining and dust pollution in real time. It also includes some automatic supervision technologies. After the system was actually put into use, it was proved that it could effectively improve its supervision efficiency and timeliness. Finally, this paper will also explain that the system supervises the above illegal mining with the system.