Abstract: A high-speed image sensor based high-speed image processing algorithm is presented, which can real-time detect the period motion feature from mechanical system high-speed motion, and builds a high-speed vision system which can long-term non-contact calculate the motion frequency of complex high-speed mechanical devices. This study considers the high-speed camera as multi-sensors, and perform offline image processing for multi-period high-frame-rate images. Based on the selected key pixels considered as the multi-sensors, converting the images to one dimension vectors, period phase reference-images-sequence is created from pre-sotred original image data. To verify the algorithm and system, this study utilizes a rotation device drove by stepper motor and a mechanical motion of sewing machine for experiments. Experimental results confirm that the algorithms and system can select the key feature pixels, create reference data, and finish the high-speed real-time vision detection for high-speed motion.

Key words: high-speed camera, high-speed motion, motion feature, vision detection, vision sensor