Abstract

With the continuous development of computer vision technology, its application is more and more extensive. In recent years, the application of computer vision technology in the area of medical packing detection also made great achievements. This paper detailed a scientific and reasonable scheme of an ampoule bottle automatic detection equipment. In this scheme we use the computer vision technology and CNC technology, and select the appropriate transport mechanism and cameras to get images of ampoules. After getting the images, we use a software named MATLAB, which can deal with the images, to obtain some useful information about the ampoules. Then we can evaluate the quality of the ampoule according to these information.

Highlights

  • In recent years, with the development of computer vision technology, the method of ampoule detection has acquired a new huge development

  • The traditional methods mainly depend on manual detection with some professional optical instruments. These methods have many defects, such as slow detection speed, low accuracy, often mistaken and missed detection and so on, so that it has been difficult to meet the requirements of the ampoule bottle modern production

  • A new ampoule bottle detection equipment, which is based on computer vision technology, emerges as the times require

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Summary

Introduction

With the development of computer vision technology, the method of ampoule detection has acquired a new huge development. The traditional methods mainly depend on manual detection with some professional optical instruments. These methods have many defects, such as slow detection speed, low accuracy, often mistaken and missed detection and so on, so that it has been difficult to meet the requirements of the ampoule bottle modern production. The emerging computer vision technology can meet all the demands of detection with its brilliant advantages, like fast detection speed, high precision, high degree of automation and so on[1]. A new ampoule bottle detection equipment, which is based on computer vision technology, emerges as the times require

Mechanical Structure
The Image Acquisition Mechanism
The Defective Bottles Eliminating Mechanism
Control System
Image Processing and Analysis
Filter Processing
Computer
Control Button
Pattern Recognition
Conclusions
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