Design and Experimentation of a Residual-Input Tube-End Cutting System for Plasma Bags Based on Machine Vision

Abstract

In response to the lack of plasma bag-breaking equipment and time-consuming manual recovery of plasma in China, this study focuses on the distal end cutting of a plasma bag residual-input tube and designs a machine-vision-based plasma bag residual-input tube cutting system. The system comprises a plasma bag rotation device, a bottom disc, an image acquisition device, a cutting device, and a device control system. The image acquisition device captures images of the rotating plasma bag and calculates the Euclidean distance from the end of the plasma bag input-tube distal end to the outer edge of the bottom support plate and the distance from the input-tube distal end to the centerline of the plasma bag. Two distinct value acquisition algorithms are designed for the two types of input tubes. The screw slide moves accordingly. When the plasma bag is above the cutting part, the cutting part cuts the end of the residual-input tube of the plasma bag. The prototype performance tests reveal that the cutting error is within 10% of the end of the plasma bag input tube distal end, the cutting success rate is 100%, and the processing time for each bag is 2.5 s, which meets the time requirements of the plasma bag breaker.

Research on Coaxiality Measurement Method for Automobile Brake Piston Components Based on Machine Vision

“…Images can be decomposed into sub-images of different scales and frequencies by means of wavelet transform, and then edge detection, image denoising, and feature point extraction can be realized [10][11][12][13][14][15][16]. In addition, compared with traditional measurement technology, machine vision technology has high precision, high efficiency, and a low cost, and avoids the risk of damaging the surface of parts, so it has been widely studied [17][18][19][20][21]. Many researchers have studied shaft parts based on machine vision technology.…”