A machine vision system comprises several components that work together to enable the system to perform its intended task.

Components of a machine vision system

1. Lighting: This component provides illumination to the object being inspected. It is important to have consistent and uniform lighting to ensure accurate results.
2. Camera: The camera captures the images of the objects and sends them to the processing unit for analysis. It is essential to have the right type of camera that suits the application.
3. Lens: The lens focuses the light onto the camera sensor, and the choice of lens depends on the application.
4. Image Processing Unit: This component processes the images captured by the camera and analyses them to extract the necessary information. It comprises hardware and software components, including the central processing unit (CPU), graphics processing unit (GPU), and machine vision software.
5. Communication Interface: This component enables the machine vision system to communicate with other systems or devices. It could be Ethernet, USB, or other communication protocols.
6. Actuators/Sensors: These components are used to control the output of the machine vision system. They help in making decisions based on the analysis performed by the machine vision system.

A machine vision system can be customized by selecting the appropriate components to suit the intended application. For instance, a machine vision system used in a factory for quality control purposes will require different components from a machine vision system used in an autonomous vehicle. It is, therefore, essential to understand the components of a machine vision system to select the right components for the intended application.

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