Quality Control Approach of 3D Printing Products Combining 3D Model and Computer Vision

The general sampling inspection solution is not suitable for 3D printing products because of the personality of such products. In this paper, a framework for 3D printed maxillofacial tumor treatment guide inspection was proposed to achieve a more accurate detection, which includes mechanic system, control part and video surveillance part. The proposed method was used to inspect the location and direction of the hole under three parts. First, the 3D model and the printed product were aligned in the unified coordinates. Then, the product was moved to the suitable view based on the location and direction of the hole on the 3D model so that the hole would be in the center of the image. Finally, the hole was detected and shape parameters such as circularity, aspect ratio, diameter and the distance between the neighboring holes were extracted. Based on these parameters, we can decide if the hole is qualified. The experiments demonstrate that the proposed method raises the inspection precision and speed, in comparison to manual inspection. Furthermore, the proposed framework can be extended to shape consistency inspection of other 3D printing products.