Yxlon, Going Beyond Pass / Fail with Automatic Defect Recognition

X-ray inspection has long been a preferred way to obtain non-destructive quality data on manufactured parts. With the advent of digital X-ray systems, improved imaging capabilities, and more powerful computers, many manufacturers have come to rely on non-destructive X-ray test systems to make pass/fail decisions on individual parts. This is called Automatic Defect Recognition or ADR.

Although previous YXLON publications have described the general principles of ADR, this paper focuses on two particular applications of ADR technology: fully automated X-ray inspection as part of a manufacturing process and ensuring increased security via ADR. (See Figure 1.)

This paper examines the considerations related to implementing ADR for production line inspection, with particular focus on metal casting inspection and automotive applications. We outline six phases of ADR implementation that exceed a simple pass or fail determination, which is typical in “one-off” inspection routines:

  • Manipulation and Infrastructure
  • Image Acquisition
  • Image Processing
  • Decision Optimization
  • Process Optimization
  • Learning and Adaptation