Healthcare Industry

Application of machine vision in medical device industry

2019-11-13

Introduction

With the continuous improvement and renewal of medical level and medical devices, the disposable injection needle is loved by users for its convenience and hygiene, and its demand is also increasing rapidly. The appearance of the needle directly affects the quality of the disposable injection needle. Therefore, in order to reduce the number of unqualified products, it is necessary to increase the detection process. Manual appearance inspection and product marking are expensive and unreliable. At the same time, it means the inhumane monotonous work. Here, the automated machine vision system provides solutions to these problems.

2 defects of disposable injection needle

The disposable injection needle can be divided into two parts: the needle seat and the needle head. The defect of the needle seat has no effect on the product quality. There are two kinds of defects in the needle: first, there may be burrs on the needle tip during the manufacturing process; second, there may be inverted insertion (the needle tip is inserted into the needle seat) during the automatic assembly process. Several defects that affect the needle are: needle tip burr, inverted insertion. It will not only have a direct impact on the quality of products, but also seriously harm people's lives. As shown in Figure 1:

3. Automatic detection of PET beverage bottle appearance defects by machine vision

With the increasing demand for disposable injection needles in the market and the requirements of customers for product quality, more and more medical device manufacturers use automatic injection needle detection system to comprehensively detect the appearance defects of disposable injection needles. This method replaces the traditional manual method to improve the production efficiency and product quality, solves the problem of false detection and missing detection caused by the low efficiency and slow speed of the manual method, as well as the uncertainty factors such as subjective constraints of the detection personnel, and realizes better 100% product online detection.

3.1 overview of machine vision system

Machine vision system is to capture the image through the image capturing device (including CMOS camera and CCD camera), then transfer the image to the processing unit, and judge the size, shape and color according to the pixel distribution, brightness, color and other information through digital processing. Then, according to the result of discrimination, the equipment action on site is controlled.

3.2 automatic detection scheme of appearance defects of disposable injection needle by machine vision

In this paper, the injection needle detection system is used to detect the appearance defects of the disposable injection needle. The system takes Siemens image processor [3] as the core and combines with Siemens automation equipment to form a system with both simple digital signal interface and complex industrial network interface, so that users can choose a system suitable for their working conditions, which is convenient and saves investment.

The basic detection processing flow is shown in Figure 2, and the simple system framework is shown in Figure 3: