Computer Vision Detection Of The Shape Size Of Glass Bottles And Jars

In the course of the quality detection of the glass products, with the enlarging of the production scale. the enhancing of production speed itnd more and more severe requests of quality, the artificial detection on the production line hasn't traditionally been competent. In such case, many foreign factories have began to manufacture the machine that can detect the quality of glassware. in the manufacture of the machine, our country drops behind overseas. Now some domestic factories are manufacturing the machine. They commonly copy foreign product, and the jobs are still carrying through. At the side of shape size detection of glass bottles and jars, the foreign products adopt mechanism-touched mode, which request high level of mechanism manufacture technics.The system designed by author is a subsystem of on-line detecting system of glassware with computer vision. We cooperate with Guilin Glass Factory to develop this system. This system adopts none-touched sensors, and makes the use of computer vision and image process to detect the shape size of the glass bottles and jars, avoiding the weakness of mechanism manufacture technics in our country. The detection content includes the inside radius and outside radius of the bottle mouth, the height, and the perpendicularity of the bottle.When detecting the shape size of every bottle, the detection system needs two vidicons to get two images. One is the bottle mouthimage screened by the vidicon facing perpendicularly to the bottle mouth, which is used to detect the inside radius and outside radius of the bottle mouth, and perpendicularity of the bottle. Another is the bottle tall image screened by the vidicon facing to the top part of the bottle, which is used to detect the height of the bottle. The system adopts outer trigger mode to control vidicons to get the images. When the detected bottle reaches the detection place, the outer trigger circuit produces a trigger signal and sends it to the image card. The computer detects the trigger signal and immediately controls the vidicons to get the images. The system uses shape size of a standard bottle to confirm a standard size before detection. The size of the inspected bottle is compared to the standard size when the inspection happens. If the warp is between the allowable ranges, the shape size is qualified. Otherwise, the size is not qualified.The system software is marie up of two function blocks. One is the bottle mouth image processing block. Another is the bottle height image processing block. Bottle mouth image processing block is consisted of getting the bottle mouth image, edge detection, circle detection, and analysis of the size of mouth radius and perpendicularity. Bottle height image processing block is consisted of getting the bottle height image, edge detection of the bottle profile, confirming the row of top edge of the bottle mouth, and the analysis of the height. Segmentation based on Grey-level threshold instead of edge detection operator is used to detect the edge in both the bottle mouth image and the bottle height image. The author brings forward t~o techniques, half-divide technique and circle detection b perpendicular bisector of chord, to detect the inside circle and outside circle of2bottle mouth in bottle mouth image. After the contrast in experiments, half-divide technique is used to detect circles. In the course of software development, the author designs the arithmetic and writes the program in both the aspect of speed and the aspect of effect.This detection system has the virtue of low manufacturing price and low precision to mechanical manufacturing. Detecting speed of the system can be enhanced with the increase of CPU speed. The author has finished the software development job of the shape size detection of bottles and jars with Visual C++. The detection system has successfully realized the shape size detection of bottles and jars.