In the automobile manufacturing industry, the piston, as a core component of the engine, is of vital importance in terms of quality and safety. The traditional piston surface defect detection mainly relies on manual visual inspection, but this method has shortcomings such as strong subjectivity, low detection efficiency, and easy to miss detection. In order to overcome these problems, this paper proposes a FA lens-based piston surface defect detection scheme.

Application of FA lens in piston surface defect detection

1. High-resolution imaging: FA lenses are able to capture minute details of the piston surface, such as scratches, cracks, rust, etc., providing high-quality image data for subsequent image analysis.

2. Fast autofocus: In the piston production line, the placement and attitude of the piston may vary, the fast autofocus function of the FA lens can quickly adjust the focal length to ensure that each image is clearly recognizable, thus improving the inspection efficiency.

3. Strong adaptability: FA lenses are suitable for piston inspection of different models and specifications, eliminating the need for frequent lens changes and reducing inspection costs.

Inspection Program

1、FA lens: responsible for capturing high-resolution images of the piston surface to ensure image clarity and detail richness.

2、Color industrial camera: Used in conjunction with the FA lens, the captured image is converted into a digital signal for subsequent processing by the image analysis software. The color camera can provide richer color information, which helps to identify different types of defects on the piston surface.

3、Strip light source: to provide uniform lighting conditions for the piston surface, eliminating shadows and reflections to ensure image consistency and accuracy. The design of the bar-shaped light source makes the light cover the entire surface of the piston to improve the comprehensiveness of the inspection.

The FA lens-based piston surface defects detection program has the advantages of high detection efficiency, high accuracy, adaptability, etc., which can significantly improve the production efficiency and product quality in the automotive manufacturing industry.