Safety protection equipment identification method based on autonomous learning strategy and storage medium
A security protection and equipment recognition technology, applied in neural learning methods, character and pattern recognition, instruments, etc., can solve problems such as high requirements for sample resources and inability to meet the needs of use, to reduce time and energy, improve accuracy, and prevent excessive The effect of fitting
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[0057] Next, the technical solutions in the embodiments of the present invention will be described in connection with the drawings of the embodiments of the present invention, and it is understood that the described embodiments are merely the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained without creative labor are not made in the premise of creative labor.
[0058] like figure 1 As shown, it is a flow chart of the safety protection device identification method of the present invention based on autonomous learning strategies, including the following steps:
[0059] S1, collecting training picture collection. From the video collected from the HD camera, extract the video key frames containing the detection target to get multiple original sample pictures. The detection target described herein refers to a construction site safety protection device such as a hard hat or a reverse coat....
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