Product Quality Inspector

Abstract

In any industry now-a-days, quality control is an essential and inevitable part of the process of manufacturing any product. Defect detection in any product is one of the most important quality control measures in the product manufacturing process. This work aims at identifying the defects in shape, size and color thereby tracking them down. The use of Image processing and Raspberry Pi is done to recognize defect in the product. In most of the existing methodologies that works on industrial inspection system are using very simple elementary features that most commonly involves human labor thus, advanced image analysis techniques are not extensively used. The main drawback in this technique is that the defects are generally not detected in an efficient way therefore making the process a lot more time consuming. Therefore, the proposed methodology aims at a fast and precise solution for detection of defects. In the proposed method where Pi camera is introduced to capture the images of the object on conveyor belt. The results show a considerable improvement in terms of precision and speed when compared to the existing methodology.