Real-time visual inspection method and system for high-speed penicillin bottle capping production line

Abstract

The invention discloses a real-time visual inspection method and system for a high-speed penicillin bottle capping production line, and relates to the technical field of industrial visual inspection,the real-time visual inspection method for the high-speed penicillin bottle capping production line comprises the following steps: obtaining a video of real-time production of the high-speed penicillin bottle capping production line; for each target penicillin bottle in the video, intercepting a frame of representative image; detecting the representative image by applying a deep learning target detection technology; and generating a coded signal according to the detection result of the representative image, and storing the representative image of which the detection result is unqualified. Themethod is characterised in that an image region feature analysis technology is used to intercept a frame of representative image from a video, and then the representative image is detected by using adeep learning target detection technology, so that high-precision detection of abnormal conditions is completed, detection of multiple frames of images of the same target penicillin bottle is avoided,the algorithm operation amount is reduced, the detection speed is increased, and real-time target visual detection of a high-speed penicillin bottle capping production line is realized.

Description

technical field [0001] The invention relates to the technical field of industrial visual inspection, in particular to a real-time visual inspection method and system for a high-speed vial capping production line. Background technique [0002] Vials, a small bottle sealed with a rubber stopper, are available in brown and transparent types, and are generally made of glass. They are used as medicinal injection bottles, oral liquid bottles, etc. The seal is usually sealed with a rubber stopper, and finally used The capping equipment crimps the aluminum cap tightly to achieve the purpose of sealing. After the vial is filled with medicine and covered with a rubber stopper, sometimes there are gaps in the rubber stopper due to the different air pressure inside and outside the bottle. If the gap is too large, it will seriously affect its sealing performance, causing dust and bacteria in the outside air to enter the vial and contaminate the drug. Therefore, it is particularly import...

AI Technical Summary

Problems solved by technology

Moreover, due to the complexity of the neural network model in deep learning, the time complexity of the algorithm has increased sharply, and it is difficult to apply it to the high-speed capping production line of vials for real-time detection, especially when the speed of the vial production line reaches more than 500 bottles per minute. There are high requirements on the operation time of the algorithm

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