Batch workpiece airtightness detection method based on artificial intelligence

Abstract

The invention provides a batch workpiece airtightness detection method based on artificial intelligence. The method comprises: collecting an original image of the air tightness detection device, detecting pixels belonging to the workpiece in the original image, carrying out connected domain analysis, and obtaining an angular point sequence according to the distance between the convex hull point of the connected domain of the workpiece and the angular point of the minimum enclosing rectangle; acquiring a scanning image, and detecting positions of bubble pixels in the scanning image to obtain coordinates of a bubble center point; calculating the distance between the central point of the bubble and the central point of each circumscribed rectangle and obtaining the circumscribed rectangle corresponding to each bubble; obtaining a distance sequence according to the distance between the bubble center point and each corner point in the bounding rectangle distance sequence, and calculating the similarity of different distance sequences to obtain a bubble center point set; counting the number of bubble center points in the bubble center point set to obtain a high-frequency bubble center point set, and obtaining an external rectangular subarea corresponding to bubbles in the high-frequency bubble center point set.

Description

technical field [0001] This application relates to the field of artificial intelligence, in particular to an artificial intelligence-based airtight detection method for batch workpieces. Background technique [0002] In industrial air tightness testing, generally, the workpiece to be tested is put into a glass jar filled with a certain amount of water, and the bubbles are observed. Because the bubbles are small and the features are not obvious, it is difficult to directly analyze the characteristics of the bubbles and identify the location of the bubbles through the image. Moreover, when analyzing the airtightness of the same workpiece, it is necessary to know which part of the workpiece is the location of the air leakage. However, due to the placement of the mechanical arm or human hands, the position and posture of the workpiece in the water are different, and it is difficult to determine whether the location of the air leakage is the same part of the workpiece. Content...

AI Technical Summary

Problems solved by technology

Moreover, when analyzing the airtightness of the same workpiece, it is necessary to know which part of the workpiece is the location of the air leakage. However, due to the placement of the mechanical arm or human hands, the position and posture of the workpiece in the water are different, and it is difficult to determine whether the location of the air leakage is the same part of the workpiece

Images