Mask automatic production detection apparatus

Abstract

The invention discloses a mask automatic production detection apparatus. The apparatus is characterized in that the apparatus comprises a main body machine, an ear strap machine, a mask automatic assembly line, a mask automatic detecting machine and a mask automatic collecting and counting machine which are sequentially connected with one another; the automatic mask detecting machine is provided with high-definition camera and a processing chip; the high-definition camera is used for performing image acquisition on a mask to be detected; the processing chip includes a first processing unit, asecond processing unit, a calculation unit and a judging unit; the first processing unit is used for extracting the contour features of an image captured by the high-definition camera; the second processing unit is used for extracting the length L1 and width W of the outer edge of the mask to be detected, the length L2 of the ear strap of the mask to be detected, the length L3 of the nose bridge line of the mask to be detected, and a distance H between the nose bridge line and upper edge of the mask to be detected; the calculation unit calculates the total deviation rate P of the mask to be detected according to the contour feature information of the mask; and the judging unit judges whether the total deviation rate P of the mask to be detected is within the range of a predetermined threshold A according to the total deviation rate P. The detection device can adapt to the placement conditions of masks, and has higher detection precision.

Description

technical field [0001] The invention relates to the field of mask detection, in particular to a fully automatic production and detection equipment for masks. Background technique [0002] Usually, in the process of mask production, the detection of mask manufacturing quality mostly relies on manual inspection, and a small part uses automatic processing methods. However, most of the existing automatic processing methods use shape comparison methods for detection, which will be the same as the comparison image The product is judged as qualified, and the product that does not overlap is judged as unqualified. The accuracy of this judgment method is low, and it is more difficult to process the image when it is implemented, because the placement of masks in actual production will be very different, and there will be great technical difficulties when comparing shapes, which will increase Consumption of manpower and material resources. [0003] Therefore, it is necessary to propo...

AI Technical Summary

Problems solved by technology

The accuracy of this judgment method is low, and it is more difficult to process the image when it is implemented, because the placement of masks in actual production will be very different, and there will be great technical difficulties when comparing shapes, which will increase Consumption of manpower and material resources

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