If your business produces small precision parts, quality is the most important thing for you. In fact, quality is the backbone of the whole process of manufacturing. If you want to improve quality, you can opt for AVCs, which refers to automatic visual-control systems.
Actually, these machines make use of computer vision technology in order to check components for defects, such as deformations, dents, scratches, and contaminations, just to name a few. Before you go for automated visual inspection, we suggest that you consider the factors described below. Read on to find out more.
1. A different Solution for Each Part
It's not easy to design an AVC for checking different types of components. The reason is that the geometry of parts can get occluded. Actually, these limitations are because of the design of the product as an automatic inspection is not involved in the design process.
The camera speed, resolution, lighting and defect specification can help you get a better analysis. On the other hand, a human operator can take another look at the thing in case of suspicions. But a machine is faster.
2. Surface Inspection and Dimensional Measurement
There are two types of AVCs. One is used for surface inspection and the other is used for dimensional measurement. The later system is a lot easier to make. Moreover, statistical methods that figure out the effectiveness of a solution are not hard 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 hard. If you have documented instructions to guide the team members to inspect a component in the right way, you can perform better inspections. But these instructions won't be useful for a programmer to design the right code for the machine.
3. Making a Category of Defects
Defining defects and putting them on different categories is vital for the development process. Therefore, engineers put together a defect catalog prior to starting AVC development. This involves a list of defects and parts that are defective or rejected. So, make sure that the machine can identify these defects.
4. Programming for Identifying Defects
The program for the machine should be able to localize parts, segment images, and perform noise optimization. Of course, defect detection is the critical aspect, which should be the most important feature of the right system.
5. Making sure the Image is Good Enough
Typically, a good inspection depends upon a high-quality image. You can do a lot of things to make sure that the inspection systems are up to the mark. The quality of the image is based on the camera setup and the illumination. Aside from this, other factors are important, such as prevention of false rejections, using the machine space efficiently and sticking to the cycle time.
In short, with AVC systems, you can reduce customer complaints. For some types of parts, you can get no complaints. In the market, you can already find machines that already feature smart visual inspection systems that you can buy.
Sipptek visual inspection machine is a great choice if you want to perform faster product inspections. For more, you can check out Sipotek Visual Inspection.
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