Machine Vision and Quality Control Simulation for 3D Industrial Digital Twin in Design Stage

Abstract

This study investigates the integration of machine vision and quality control simulations into the design stage of 3D industrial digital twin systems. In the Siemens Tecnomatix Process Simulate Environment, a highly accurate digital twin is constructed. Within the simulation Environment, a conveyor, camera, and photoelectric sensor are constructed. After a successful Trigger by the sensor, the camera captures an image of the part, and this is done by employing two methods, Tecnomatix API and Custom SCL Function. Then, edge detection and contour analysis are performed on the captured image. To enable quality control over the part, two image similarity comparison methods are employed, namely SSIM and histogram comparison methods. They are realized using the C# programming language in Visual Studio IDE to compare the captured image against a golden sample. This approach using Siemens Tecnomatix API and Custom SCL acts as a valuable method for simulating and optimizing manufacturing processes virtually, ultimately enhancing quality control and production efficiency as this is done in the design stage, prior to physical production.