Detection equipment of inner wall of opaque glass bottle

Abstract

The invention relates to detection equipment of the inner wall of an opaque glass bottle, which adopts stretching-type reflective mirror and machine vision principles, and analyzes the collected images through a computer to automatically remove disqualified bottles. The detection equipment mainly comprises a fast bottle feeding chain channel, a main control box, a camera for detecting a bottle bottom, a disqualified bottle chain channel, a striker A, a striker B and a front-end detection part, and the whole equipment is in a series structure; and defective products are screened by the front-end detection part and the camera for detecting the bottle bottom. The whole equipment has high degree of automation, high screening success rate and convenient maintenance.

Description

technical field The invention relates to a wine packaging machine, in particular to a detection device for the inner wall of a glass packaging bottle for opaque liquor. Background technique At present, in order to protect the environment and reduce production costs, many wineries use recycled bottles to package liquor after cleaning and inspection. Because the general wine bottle is a transparent glass bottle, the cleanliness of the inner wall of the bottle can be judged by visual inspection after cleaning, and it is also available under high output. Using the imported empty bottle inspection machine, compared with the use of new bottles in the whole process of recycling old bottles, the cost of wine bottles can be saved by about 60%. However, in recent years, many wineries use opaque glass bottles to package liquor. Because the inner wall is invisible, it cannot be easily recycled through direct visual inspection, and even some special detection machines cannot detect it, ...

AI Technical Summary

Problems solved by technology

The technical problem solved by the present invention is to provide a kind of detection equipment for the inner wall of opaque glass bottles, which adopts the principle of extending reflector and machine vision, and analyzes the collected images by computer, and automatically rejects the unqualified bottles, so as to solve the above-mentioned background technology. Disadvantages in

Images