Mask wearing status alarming method, mobile device and computer readable storage medium

A mobile device, comprising:

• a processor;
• a memory coupled to the processor;
• and
• one or more computer programs stored in the memory and executable on the processor;
• wherein, the one or more computer programs comprise:
• instructions for performing a face detection on an image to determine one or more face areas, wherein each of the face areas comprises a target determined as a face;
• instructions for determining a mask wearing status of the target in each of the face areas, wherein the mask wearing status comprises a not-masked-well status, an unmasked status, and a masked status;
• instructions for confirming the mask wearing status of the target in each of the face areas using a trained face confirmation model to remove the face areas comprising the target being mistakenly determined as the face and determining a face pose in each of the remaining face areas to remove the face areas with the face pose not meeting a preset condition, in response to determining the mask wearing status as the not-masked-well status or the unmasked status;
• wherein the trained face confirmation model is a lightweight binary classification model;
• and
• instructions for releasing an alert corresponding to the mask wearing status of the target in each of the remaining face areas.

A non-transitory computer readable storage medium for storing one or more computer programs, wherein the one or more computer programs comprise:

• instructions for performing a face detection on an image to determine one or more face areas, wherein each of the face areas comprises a target determined as a face;
• instructions for determining a mask wearing status of the target in each of the face areas, wherein the mask wearing status comprises a not-masked-well status, an unmasked status, and a masked status;
• instructions for confirming the mask wearing status of the target in each of the face areas using a trained face confirmation model to remove the face areas comprising the target being mistakenly determined as the face and determining a face pose in each of the remaining face areas to remove the face areas with the face pose not meeting a preset condition, in response to determining the mask wearing status as the not-masked-well status or the unmasked status;
• wherein the trained face confirmation model is a lightweight binary classification model;
• and
• instructions for releasing an alert corresponding to the mask wearing status of the target in each of the remaining face areas.