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Automated evaluation of unsafe working postures in lifting and carrying heavy objects in construction using a CNN deep learning model
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Thông tin tài liệu:
This study seeks to propose a method to automatically assess unsafe postures of lifting and carrying heavy objects by combining the RTMPose deep learning model to detect people from videos and a convolutional neural network (CNN) model to automatically extract, evaluate and classify the worker’s posture skeleton frames into two states “safe posture” and “unsafe posture”.
Nội dung trích xuất từ tài liệu:
Automated evaluation of unsafe working postures in lifting and carrying heavy objects in construction using a CNN deep learning model
Nội dung trích xuất từ tài liệu:
Automated evaluation of unsafe working postures in lifting and carrying heavy objects in construction using a CNN deep learning model
Tìm kiếm theo từ khóa liên quan:
Civil engineering Lifting and carrying heavy objects Unsafe posture skeleton frame Occupational safe and health risks CNN model Construction siteTài liệu liên quan:
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