Real-Time Image Processing System For Automated Inspection Of Drilled Holes

The use of automated and semi-automated drilling systems for fastener holes in aircraft manufacturing has created the need for a rapid, low-cost technique for monitoring these drilling operations. In the case of automated drilling, inspectors would be required to monitor and inspect millions of drilled holes each year. To reduce the need for visual inspection, an on-line, real-time image processing system is proposed. Image pattern recognition techniques applicable to hardware implementation have been applied to video images of interior surfaces of drilled holes. Classification results are presented, along with an approach for automated quantitative "accept/question/reject" decisions. A functional hardware implementation of the processor is described.