Seamed egg detection device

Abstract

The invention provides a seamed egg detection device comprising a first striking stick, a second striking stick, a first traction section, a second traction section, a first rotation driving shaft, a second rotation driving shaft, a sound collection section, and a determination section. The first striking stick comprises an actuation part receiving movement from a cam, a hammer part connected with the actuation part, and a shaft supporting part providing shaft supporting for the actuation part. The second striking stick comprises an actuation part receiving movement from a cam, a hammer part connected with the actuation part, and a shaft supporting part providing shaft supporting for the actuation part. The first traction section applies tension such that the hammer part of the first striking stick is oriented downwards. The second traction section applies tension such that the hammer part of the second striking stick is oriented downwards. The first rotation driving shaft extends along an egg delivery direction. The second rotation driving shaft extends along the egg delivery direction and is arranged in parallel with the first rotation driving shaft with a preset space. The determination section is used for analyzing echoes collected by the sound collection section and determining whether the egg is normal or seamed.

Description

technical field [0001] The present invention relates to a detection device capable of distinguishing cracked eggs (such as chicken eggs) from cracked eggs without cracks by hitting the eggs. Background technique [0002] Conventionally, there is a visual detection method as a detection method for distinguishing cracked eggs with cracks in the shell from normal eggs without cracks. However, in visual inspection, multiple inspectors are required, resulting in high cost. In addition, due to the difference in the proficiency of inspectors, the detection accuracy varies greatly, and it is difficult to detect small cracks. [0003] In addition, there is an automatic detection method based on image processing, that is, the presence or absence of cracks is detected by taking an image of an eggshell and performing image processing on the image. However, it is difficult to automatically take an image of the entire outer periphery of the egg. In addition, the probability of detecting ...

AI Technical Summary

Problems solved by technology

However, since the vibration sound varies depending on the size and position of the crack, there may be cases where the crack cannot be detected

In addition, although the detection accuracy increases with the number of impacts, if the number of impacts is large, there is a danger of new cracks, and the processing time for crack judgment also becomes longer.

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