Vibration adaptive vision inspection system
Kap-Ho Seo, Yongsik Park, Sung‐Jo Yun, Sung-Ho Park, Jeong‐Woo Park · 2014
Disturbance vibration reduction is critical in many applications using machine vision. The off-focusing or blurring error caused by vibration degrades its performance. Instead of going with the more familiar approach like vibration absorber, a real-time disturbance estimation and avoidance is proposed. Instantaneous motion due to the disturbance is sensed by an attitude heading reference system (AHRS) module. Modeling of periodic vibration is done to provide better performance. According to its modeling, the algorithm for vibration avoidance was described.