5 factors to consider before opting for automated inspection

If your business produces small precision parts, quality is most important to you. In fact, quality is the backbone of the entire manufacturing process. If you want to improve the quality, you can go for AVC, which refers to automatic visual control systems.

Actually, these machines use computer vision technology to check components for defects such as warping, dents, scratches, and contaminations, just to name a few. Before performing an automated visual inspection, we suggest that you consider the factors described below. Keep reading to know more.

1. A different solution for each part

It is not easy to design a HCV to check different types of components. The reason is that the geometry of the parts can become occluded. Actually, these limitations are due to the design of the product, since an automatic inspection is not involved in the design process.

Camera speed, resolution, lighting, and defect specification can help you get better analysis. On the other hand, a human operator can look at the thing again in case of suspicions. But a machine is faster.

2. Surface inspection and dimensional measurement

There are two types of strokes. One is used for surface inspection and the other for dimensional measurement. The last system is much easier to do. Furthermore, statistical methods that calculate the effectiveness of a solution are not difficult to design.

If the part specifications are defined earlier, it will be easier for the system to identify important parameters.

Surface inspection, on the other hand, can be difficult. If you have documented instructions to guide team members to inspect a component the right way, you can perform better inspections. But these instructions will not help a programmer design the correct code for the machine.

3. Make a category of defects

Defining defects and putting them into different categories is vital to the development process. Therefore, engineers drew up a defect catalog before starting AVC development. This involves a list of defects and defective or rejected parts. Therefore, please make sure that the machine can identify these defects.

4. Programming for Defect Identification

The machine program must be able to locate parts, segment images and optimize noise. Of course, defect detection is the critical aspect, which should be the most important feature of the correct system.

5. Make sure the image is good enough

Generally, a good inspection depends on a high-quality image. You can do a lot to make sure your inspection systems are up to scratch. Image quality is based on camera settings and lighting. Apart from this, other factors are important, such as the prevention of false rejects, efficient use of machine space and adherence to cycle time.

In short, with AVC systems, you can reduce customer complaints. For some types of parts, you cannot receive complaints. In the market you can already find machines that already have intelligent visual inspection systems that you can buy.