Research Progress on Safety Warning Technology for Opencast Mines Based on Rapid UVA Capture and Facial Recognition
The rapid development of unmanned aerial vehicle technology and face recognition technology has provided an effective technical means for timely detection of"illegal operations"in open-pit mine safety management,which is helpful to improve the standardized operation and personnel safety of open-pit mine operation sites.Through real-time monitoring by UVAs,it is possible to quickly capture abnormal situations such as operator not-wearing safety helmets,vehicles cutting in line,and personnel entering restricted areas.In combination with face recognition technology,the identity of operators can be quickly confirmed,so as to timely carry out early warning and intervention to reduce the occurrence of safety accidents.Compared with the traditional manual inspections,UVA safety inspections possess the advantages of wide coverage and flexible paths.They can be combined with automated image analysis to reduce the workload of manual monitoring and improve the accuracy and timeliness of safety risk behavior identification.The application of these technical means is helpful to gradually form good work habits and safety culture,and improve the overall management level of enterprises.This paper reviews the progress of open-pit mine safety warning technology based on UVA rapid capture and face recognition considering the recognition of behaviors and personnel violating rules,hoping to promote the application of UVAs and artificial intelligence technologies in the field of open-pit mines.
万方数据
维普
