Research on Visual Inspection System of Lean Battery Sorting Device
According to the requirements of the intelligent dismantling process of used lean-liquid batteries,it is necessary to or-ganize the lean-liquid batteries into a stable state to be cut.To achieve this goal,a machine vision-based sorting and online de-vice is designed.The device first collects the image of the lean battery through the vision camera,and then uses the Sobeloperator to convolve the image to obtain the gradient map.The gradient projection method is adopted to find the edge position and com-bined with the smallest bounding rectangle.Hough transform and filtering algorithm Realize size measurement and pole surface recognition on the pre-processed image,and then completes the judgment of the state of the lean battery,and finally adjusts the lean battery to a stable standby state with a three-way rotating part.Experiments have verified that the average visual inspection time is within 1s,and the size inspection error is within 1mm,which meets the requirements of the design in terms of time and ac-curacy,effectively reduces the labor intensity and improves the efficiency of lean battery recovery.
NETL
NSTL
万方数据
维普
