Vehicle lamp glass outer shell size detection method based on machine vision

Abstract

The invention provides a vehicle lamp glass outer shell size detection method based on machine vision. The vehicle lamp glass outer shell size detection method comprises the four steps of: firstly, correcting a currently acquired image of a glass outer shell, and removing horizontal inclination of the image; secondly, carrying out edge detection by adopting a Canny operator, and determining a vertical boundary position of the glass outer shell in the image on the basis; thirdly, determining a horizontal boundary position of the glass outer shell in the image; and finally, measuring parameterssuch as length, outer diameter and wall thickness. The vehicle lamp glass outer shell size detection method has the advantages of being not influenced by environmental factors, high in robustness, high in detection speed, high in precision and the like.

Description

technical field [0001] The invention relates to the field of machine vision, in particular to a machine vision-based method for detecting the geometric dimensions of a glass shell of a vehicle lamp. Background technique [0002] Automobile headlights are the key components of automobile lighting, and their quality affects the appearance and performance of the vehicle. Among them, the glass housing is an important component of the lamp. In the molding process of the glass shell of the car lamp, due to factors such as complex production process and many production links, it is inevitable that the geometric dimensions such as length, outer diameter, and thickness of the finished glass shell of the car light do not meet the standards, and these glass shells It cannot enter the subsequent car lamp manufacturing process, and must be inspected and sorted. [0003] The traditional method of manually measuring the parameters of the glass shell mainly relies on skilled technical wor...

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Problems solved by technology

However, this method has the following problems: (1) Since the mechanical device is transmitting the glass shell, it is difficult to keep the glass shell appearing in the same approximate area every time, and the a priori preset search area is difficult to be suitable for all situations ;(2) Since the bayonet of the conveyor belt is slightly larger than the glass shell, the glass shell may be deflected at a small angle in the image during the process of mechanically transporting the glass shell, which also brings difficulties to the visual measurement of the glass shell size; ( 3) The acquired image is greatly affected by the noise and light on the scene, and the gray distribution is uneven. With the passage of time of the detection equipment, the light source is prone to aging or the lens is polluted by dust. At this time, the acquired image will have Large changes, and the existing visual measurement method of glass shell size is greatly affected by environmental factors

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