机器视觉在检测螺丝螺母缺陷领域的应用

创盈时代科技

发布时间：19-09-2716:59

工业4.0时代，针对市场零件生产越来越趋于精密化，而用人成本不断增高，人工效率及稳定性也不高，误检、漏检比率高。在目前的市场，推出基于机器视觉检测的方法，检测原理是通过CCD工业相机拍照，软件进行图像分析，这种方法高效、高速、非接触的检测。

In the era of industry 4.0, the production of parts for the market is becoming more and more sophisticated, while the cost of employment is increasing, labor efficiency and stability is not high, the rate of misexamination and leakage is high. In the current market, the introduction of machine vision detection-based methods, detection principle is through CCD industrial camera photography, software image analysis, this method is efficient, high-speed, contactless detection.

例如螺丝螺母对于品质要求极为严格，而且，螺丝螺母的使用量一般都很大，一般都是大批量生产，这时外观检测依靠人工是完全应付不过来的，所以只能采用视觉检测设备来进行品质检测。实现的过程如下，采集图像→图像预处理→轮廓匹配→位置补正→螺纹检测→数据判断→数值显示。

For example, screw nuts for the quality requirements are extremely strict, and, the use of screw nuts are generally very large, generally mass production, when the appearance of detection rely on manual is completely unable to cope, so only the use of visual inspection equipment for quality testing.The process of implementation is as follows, the acquisition of images, image pre-processing, contour matching, position correction, thread detection, data judgment, numerical display.

在视觉检测中，处理的过程一般包括图像输入、图像定位、检测工具、输出结果。在本次案例中，图像定位的工具是轮廓匹配与位置补正，检测工具是螺纹检测，结果是显示螺纹的圈数。所以，基于机器视觉的螺丝螺母外观检测设备具有效率高，检测速度快，并且自动上下料，无需人工操作。

In visual detection, the process generally includes image input, image positioning, detection tools, output results. In this case, the tool for image positioning is contour matching and position correction, the detection tool is thread detection, and the result is the number of rings that show the thread. Therefore, the appearance detection equipment based on machine vision screw nut is efficient, fast detection speed, and automatic ally, no manual operation.

随着计算机技术的发展；出现了基于机器视觉技术的表面缺陷检测技术。这种技术的出现，大大提高了生产作业的效率，避免了因作业条件，主观判断等影响检测结果的准确性，实现能更好更精确地进行表面缺陷检测，更加快速地识别产品表面瑕疵缺陷。机器视觉技术的应用更多是为了提高生产效率，降低人力成本。

With the development of computer technology, surface defect detection technology based on machine vision technology has emerged. The emergence of this technology has greatly improved the efficiency of production operations, avoided the accuracy of test results due to operating conditions, subjective judgment, and achieved better and more accurate detection of surface defects, and more rapid identification of product surface defects. Machine vision technology is used more to increase productivity and reduce labor costs.