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THREE-DIMENSIONAL MEASUREMENT OF SPRING-BACK CHARACTERISTICS FOR HELICAL PLASTIC HOSES USING COMPUTER VISION

机译:电脑视觉螺旋塑料软管的重圈特性的三维测量

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Using a plastic water hose not only affects water resources, but also affects people's daily lives. Due to over bending or twisting during service times, plastic hoses tend to fold, buckle, or crack. The new developed spiral plastic hose can overcome the above problems, however, how to evaluate its properties is still an industry need. By using machine vision technology to analyze the spiral plastic hose quality such as the spring-back property is a good methodology which can facilitate the trust relationship between the industries and consumers. Three-dimensional machine vision technologies were used to examine five different kinds of plastic hoses, i.e. type A-E. At first, a testing platform is designed and the measuring algorithm is proposed to measure the inner radius of the bent plastic hose. By using image processing technology and the developmental program, the radius information of plastic hoses before and after spring-back are obtained for further analysis. According to experimental results based on the proposed inspection system, Type B plastic hoses behave with no-kink and its spring-back ratio is 3.457, which is the best of the plastic hoses. Plastic hose of Type D behaves kink situation and its spring-back ratio is 1.117 which is the worst. By comparing the experimental results to the manufacturers offering information, a good agreement is obtained. Therefore, this study provides an innovative inspection system to determine plastic hose quality.
机译:使用塑料水软管不仅影响水资源,而且影响人们的日常生活。由于在服务时间内过度弯曲或扭转,塑料软管倾向于折叠,扣掉或裂缝。新型开发的螺旋塑料软管可以克服上述问题,然而,如何评估其性质仍然是行业的需求。通过使用机器视觉技术来分析螺旋塑料软管质量,如弹簧背部物业是一种很好的方法,可以促进行业和消费者之间的信任关系。三维机器视觉技术用于检查五种不同种类的塑料软管,即型A-e。首先,设计了测试平台,并提出了测量算法测量弯曲塑料软管的内半径。通过使用图像处理技术和发展方案,获得塑料软管的半径信息以进行进一步分析。根据基于所提出的检查系统的实验结果,B型塑料软管表现无扭结,其弹簧后比率为3.457,这是塑料软管中最好的。 D型塑料软管表现出扭结情况,其弹簧后比率为1.117,这是最糟糕的。通过将实验结果与制造商提供信息的比较,获得了良好的一致性。因此,本研究提供了一种创新的检查系统,可以确定塑料软管质量。

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