Examples show the comparison and analysis of image quality of different chip industrial cameras

For users in the automation industry, the application of industrial cameras is increasingly infiltrating into all walks of life in production and life. If you are a senior practitioner, we have already made a lot of popularizations about the difference between industrial cameras and civilian cameras, or CCD and CMOS, or the difference between frame exposure and line exposure. So, the same industrial camera, the same chip type, the same exposure method, the same parameters, but different manufacturers, the imaging results will be different? This is the question we are going to explore today.

The following two images are the same sample pictures taken by cameras from different manufacturers with the same parameters. The lenses and shooting scenes for the experiment are completely the same. The camera parameters of the two manufacturers are the same. The only difference is this The chips from the two manufacturers are different.

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Figure 1: A manufacturer's 29 million camera + telecentric lens shooting screw picture

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Figure 1: Picture taken by B manufacturer with 29 million cameras + telecentric lens

From the above two pictures, there does not seem to be a significant difference in imaging quality between the two. Do n’t worry, this is because the resolution of the 29 million camera is too high, and the full picture mode can not see the details, and we do image processing. The most important thing is to look at the quality and stability of the image from the details, then we enlarge the image 8 times, take a detailed picture of the same part and compare it?

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               Figure 3: Details of 29 million cameras from A manufacturer Figure 4: Details of 29 million cameras from B manufacturer

Is it obvious? There is a circle of diffraction-like black stripes outside the outline in the detailed picture of the manufacturer A. The transition of the outline of the product requires about three pixels, and the gray value of the blank area is uneven. The outline of the detailed picture of the manufacturer B is very clear and obvious. The transition requires about 2 pixels, and the gray value of the blank area is very uniform. If you are an expert in image processing and know that the underlying principle of our image processing is to segment the image by the gray value, then these two images are good or bad, I believe you already have your own determined answer.

As mentioned earlier, the only difference between the two pictures is that the chips from the two manufacturers are different. In fact, they use Sony's 29 million chips, but they have different grades, one is class A and the other is class B. This kind of chip level difference exists not only in the 29 million chip, but also in high-end chips, but in the field of industrial cameras. Different grades of chips will cause large differences in cost. This is why cameras with the same parameter will find products with multiple price differences in the market. In addition to different price strategies of different manufacturers, this may also be critical. Influencing factors. So when choosing a camera, do you care about the level of the chip?

Here comes the last question. Do you know who the B manufacturer is in the article? He is-Wei Shi Imaging, a national brand of machine vision founded nearly 20 years ago. It is also worth mentioning that the telecentric lens and the parallel light source supporting the above experiments are also products of Vessel ’s own telecentric optics. Therefore, in addition to the traditional advantage of the camera, Vessel can also provide telecentric optical products, intelligent Vision software products and other products to solve your worries on the road to machine vision. Committed to building a trusted brand in China's machine vision industry, we are serious about maintaining the image. Thank you for your attention and support. We will continue to provide you with high-quality products and services in good faith.