Vision Camera For Quality Control

In artificial vision systems, the function of the vision cameras is to capture the image projected on the sensor through the optics to transfer it to an electronic system.

Board camera used in machine vision offers complete control of timing and signals, shutter speed, and other vital factors when integrating them into a machine vision system in scientific and industrial applications.

How to choose a vision camera?

The selection of the right vision camera is a decisive aspect in determining the performance and quality of the vision solution. Consider sensor performance, camera features, and image transfer and interface technology.

Standard-type image sensors are commonly 310,000 pixels (640 × 480), while high-resolution ones can be from 2 to 21 megapixels. Application requirements will dictate the most suitable type of board camera.

Cameras used in vision systems can have different image transfer rates, even when the numbers of pixels are the same. High-speed vision camera is not only effective on fast production lines. Still, it is also beneficial in normal-speed applications, as they provide more available processing time for image filtering and tools that can stabilize inspection.

Industrial vision camera

Industrial imaging vision camera makes manufacturing and logistics processes efficient and safe. They allow the reading of barcodes, control of filling levels, identification of parts, determination of positions, etc. It offers high-quality industrial image processing while developing and producing industrial camera modules and configurable image processing components, including a board camera for traffic systems.

The image processing components are essential to artificial intelligence for tomorrow’s mobility. For example, industrial vision cameras can be integrated into motorway gantries to monitor traffic flow. Also in car parks to provide information on accessible spaces.

Artificial intelligence (AI) for board cameras

Artificial intelligence (AI) needs reliable data, and board camera’s image processing systems provide it. For imaging components, plans must always deliver consistently high image quality under all conditions, such as changing light conditions or constant vibrations. This is possible thanks to the optimal coordination of the image sensors and the camera software.

Artificial vision systems for quality control

Computer vision is behind many significant advances in industrial automation. One of the most outstanding achievements is the ability to automate quality control processes. In many companies, quality control is still done manually. However, although the human capacity to visually inspect different objects is very high, the subjectivity and fatigue resulting from repetitive tasks can lead to errors.

On the contrary, machine vision camera-based systems provide an effective method for quality control, adding value to inspection operations.

Benefits of machine vision camera for quality control:

  • Eliminating subjectivity associated with human inspection: These systems use constant and quantifiable criteria maintained over time.
  • Flexibility: Vision systems allow adapting to the creation of new references and are scalable at the hardware level. Therefore, it is presented as a flexible technology adapting to changes in production.
  • Speed: Allows the inspection of 100% of the production, even in processes with high cadence.
  • Cost reduction: They allow reducing the costs associated with quality control processes. The costs of possible customer claims/returns are avoided by guaranteeing production quality.

There are multiple vision applications for quality control in a vision camera. It is also a very transversal technology, with applications in various industrial sectors. Some of the most common applications are the detection of surface defects, verification of assemblies, an inspection of the correct sealing of the product, labeling control, counting of elements, dimensional metrology, classification by product type or quality levels, etc.

Do you want to apply vision cameras in your quality control processes?

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