Intelligent identification method for unsafe behaviors of oil and gas laboratory

The invention relates to the technical field of behavior recognition, and particularly discloses an intelligent recognition method for unsafe behaviors of an oil and gas laboratory, and the method comprises the steps: constructing a face recognition platform through a Retinaface network and an impro...

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Bibliographic Details
Main Authors LIU CHENG, SUN XINYI, WU SHANGYU, HOU WENSAI, YU BO, PU XIAOXIA, LU NING, ZHOU QUN
Format Patent
LanguageChinese
English
Published 01.03.2022
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Summary:The invention relates to the technical field of behavior recognition, and particularly discloses an intelligent recognition method for unsafe behaviors of an oil and gas laboratory, and the method comprises the steps: constructing a face recognition platform through a Retinaface network and an improved Facenet network, intercepting a face part through the Retinaface network, transmitting the face part to the improved Facenet network, comparing the face part with an existing face database, and judging the personnel entering and exiting the laboratory. The Facenet network is improved by replacing a backbone extraction network with a MoilentV1 network and using Triplet Loss and Cross-Entry Loss as loss functions, the accuracy of the network is reduced by 1.55%, and the FPS (frame number per second) is improved by 25. An improved YOLOv4-tiny network is adopted to identify unsafe behaviors of protective wearing, unsafe behaviors of dangerous area invasion, unsafe behaviors of experimenters and unsafe behaviors of
Bibliography:Application Number: CN202111375546