Vibration Occurrence Estimation and Avoidance for Vision Inspection System

Abstract

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 accelerometer inertial measurement unit (IMU). Modeling of periodic vibration is done to provide better performance. According to its modeling, the algorithm for vibration avoidance was described.