Online visual detection device and detection method for detecting appearance of bottle body

Abstract

The invention relates to an on-line visual detection device for detecting the appearance of a bottle body. The on-line visual detection device comprises a detection workbench and a transmission and transportation mechanism, wherein a plurality of sets of camera backlight detection mechanisms are respectively arranged on two sides of the transmission and transportation mechanism, a single set of camera positive light detection mechanism is arranged at the bottom of the transmission and transportation mechanism, and the camera backlight detection mechanisms and the camera positive light detection mechanism are matched with each other to realize detection actions on the detected bottle bodies and bottle bottom. In the detection process, the plurality of sets of camera backlight detection mechanisms arranged on the two sides of the transmission and transportation mechanism can be used for carrying out omnibearing dead-corner-free detection on a plurality of detected bottle bodies moving on the transmission and transportation mechanism, and the single set of camera positive light detection mechanism can be used for detecting the bottom of the detected bottle bodies, so that the detection error is reduced, the detection precision is improved, and the detection efficiency is facilitated to be improved. The detection method disclosed by the invention has the effects of simplicity in operation and convenience in use.

Description

TECHNICAL FIELD [0001] The present invention relates to a detection apparatus, and particularly to a visual line detecting means for detecting the appearance of a bottle and a method of using the bottle the appearance of the detection apparatus. 【Background technique】 [0002] Product quality testing step is an important part of the production process. The appearance of the bottles is to detecting step, for example, in general, most of the conventional bottle with a separate detection step manual inspection, and then distributed by hand to the next filling process canning operation. The appearance of the bottle detection step, due to human factors easily lead to lower detection efficiency. Some technical drawbacks such as bubble, lack of material, black spots, injured, defective molding drawbacks of the prior art bottle is detected. Due to manual mode is detected by visual, due to manual working time likely to cause visual fatigue and a greater intensity of the work and other sub...

AI Technical Summary

Problems solved by technology

In this bottle appearance inspection process, the detection efficiency is low due to human factors

The existing tested bottles have some technical defects, such as bubbles, lack of material, black spots, wounds, poor molding and other technical defects

Due to the manual detection by visual inspection, it is easy to cause visual fatigue due to manual long-term work, and the influence of human subjective factors such as high work intensity is likely to cause a large blind area in the detected bottle, resulting in a relatively large presence of the detected bottle. detection error

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