Device and method for detecting impurities in liquid food
A detection device and detection method technology, applied in the detection field, can solve the problems of long detection time and low efficiency, and achieve the effect of improving convenience and efficiency
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Embodiment 1
[0036] The embodiment of the present invention provides a liquid food impurity detection device 100, such as figure 1 A structural schematic view of the detection device 100 in the workshop viewed from directly above the detection device 100 is shown. The detection device 100 includes: a light source module 10 , a track 20 , a detection object receiving position 30 and an image sensor 40 . Wherein, the light source module 10 includes a light-emitting surface 11, the light-emitting surface 11 emits light outward, the track 20 is arranged between the light-emitting surface 11 and the image sensor 40, and the detecting object accommodation position 30 is movably arranged on the track 20 for A container 200 filled with liquid is accommodated, and the light-emitting surface 11 faces one side of the container 200 . The image sensor 40 is arranged on the periphery of the light-emitting surface 11, and is located on the other side of the container 200. Relative to the accommodating a...
Embodiment 2
[0063] An embodiment of the present invention provides a detection method for liquid food impurities, which can be applied to the detection device 100 for liquid food impurities in Embodiment 1, and can also be applied to other detection devices 100 .
[0064] In one detection method, such as image 3 As shown, the detection method includes the following steps:
[0065] S306: Obtain the image information of the container 200 on the detection object storage position 30 on the track 20 .
[0066] S308: Analyzing the image information to determine whether the liquid food in the container 200 is abnormal.
[0067] S310: When the liquid food in the container 200 is abnormal, generate a first control instruction.
[0068] S312: When the liquid food in the container 200 is normal, generate a second control instruction.
[0069] After acquiring the image information of the container 200 on the detection object receiving position 30, the image information is analyzed to determine wh...
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