- How to choose a suitable industrial camera
- Selecting an appropriate industrial camera can refer to the following points:
- Explanation of parameters of industrial lens
- In the machine vision industry, there are a lot of professional terms. Most customers do not understand their meanings. We will explain them in the following.
- The relationship between the size of CCD chip and the imaging quality of industrial cameras
- Image sensor (CCD or CMOS chip) is the key element of industrial camera imaging.The larger a single pixel of image sensor is, the better the ability to capture the light. The large the area of the image sensor, the more sensitive components can be accommodated.The more photons captured, the better the photographic performance, the lower the signal-to-noise ratio.It can see from better imaging effect, that is, the image is delicate, rich and true.Under the same conditions, more details of the image can be recorded. The interference between the pixels is small. It can be more competent under the condition of weak light.However, the larger the area of the image sensor is, the higher the cost is.
- The selection formula of industrial lens (attached CCD chip size table)
- The focal distance(f mm) of industrial lens can be calculated by FOV,WD and CCD chip size:
- Machine vision technology has been widely used in industrial inspection
- The so-called “machine vision”, that is the way using machine replace human eyes to measure and estimate. Machine vision system is equivalent to human eyes. The eyes transfer images they have seen to control chip and then make judgments by control program. A typical machine vision system includes: light, lens, camera, IPU (or image capture card)，image processing software，monitor, communication/input and output unit, etc.
- Machine vision imaging utilize polarizing film to improve image quality
- In the traditional industry, human eye detection is the main method to detect products, by which people inspect product appearance and judge the non-defective/defective products according to their experience and then distinguish their quality. Automation industry utilizes machine vision imaging and compare the images by software then use PLC control Robot to classify the products. During the automatic inspection, image is the most critical step.
- Application on liquid medicine detection of machine vision technology
- Machine vision technology has been widely used in the medical field, such as the applications on digital radiography and blood products detection.
- Color rendering and temperature
- The color rendering ability of the light source is called the color rendering, which is with the same color reference or reference light source (incandescent lamp or sun light) to compare the object color appearance.
- Machine vision to solve the difficult problems of solar energy technology
- This article mainly introduces how the machine vision solves the difficult problems of the solar energy technology. For example, how to apply it to reduce the damage rate and the difference in the processing of photovoltaic cells, and how to apply it to automatic operation like taking single chip and fixed finished panels for transportation etc., which greatly saves the consumption of manpower and material resources.
- Inspection principle and application comparison of machine vision polarizing filters
- In the application of machine vision system, when inspecting the products, the film or tape may produce glare, which will affect the accuracy of the inspection. A polarizing filter can be installed on the inspection device to avoid this kind of problem. It also can eliminate the conventional reflection of glossy surface and maintain the test stability.
>Service Support>Technical Articles
