A High Dynamic Range, High Precision Framework for Measuring Machinery Part using Structured Light

In this research, we present a framework for industrial measurement using 3D scanning technology. Until recently, metal parts with glossy surfaces still pose a big challenge for low dynamic range CMOS sensor in 3D scanner. Several approaches have partially solved this problem either by trading off scanning time or by increasing system's complexity. Unfortunately, these methods defeat the "low cost" and "fast" advantages of structured light scanning. In our framework, we employ several strategies such as: utilize smart encoding schemes for better signal-to-noise ratio, dynamically adjust the projector to minimize specular light, utilize multiple cameras and customized algorithms to shorten processing time. As a result, our setup greatly improves measurement quality while only incur a small time and monetary cost.