創盈時代科技

發布時間：19-09-2716:59

工業4.0時代，針對市場零件生產越來越趨于精密化，而用人成本不斷增高，人工效率及穩定性也不高，誤檢、漏檢比率高。在目前的市場，推出基于機器視覺檢測的方法，檢測原理是通過CCD工業相機拍照，軟件進行圖像分析，這種方法高效、高速、非接觸的檢測。

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.

例如螺絲螺母對于品質要求極為嚴格，而且，螺絲螺母的使用量一般都很大，一般都是大批量生產，這時外觀檢測依靠人工是完全應付不過來的，所以只能采用視覺檢測設備來進行品質檢測。實現的過程如下，采集圖像→圖像預處理→輪廓匹配→位置補正→螺紋檢測→數據判斷→數值顯示。

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.

在視覺檢測中，處理的過程一般包括圖像輸入、圖像定位、檢測工具、輸出結果。在本次案例中，圖像定位的工具是輪廓匹配與位置補正，檢測工具是螺紋檢測，結果是顯示螺紋的圈數。所以，基于機器視覺的螺絲螺母外觀檢測設備具有效率高，檢測速度快，并且自動上下料，無需人工操作。

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.

隨著計算機技術的發展；出現了基于機器視覺技術的表面缺陷檢測技術。這種技術的出現，大大提高了生產作業的效率，避免了因作業條件，主觀判斷等影響檢測結果的準確性，實現能更好更精確地進行表面缺陷檢測，更加快速地識別產品表面瑕疵缺陷。機器視覺技術的應用更多是為了提高生產效率，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.