Machine vision is a comprehensive technology that includes industrial cameras, light sources, industrial computers, and related image processing software. Machine vision obtains images of the detected object through cameras, and specific light sources can enhance the features of the detected object, such as size, surface defects, etc. The image with clear features is transmitted to the industrial computer, and the image processing software calculates the features. Based on the calculation results, the industrial computer classifies, removes, and alarms the executing mechanism. Therefore, the performance of industrial computers is directly related to the computational speed and time of machine vision.
In machine vision, the working process of industrial computers can be divided into three key steps: image acquisition, image processing, and decision-making. Firstly, the visual information of the object is obtained through a camera or sensor, and then image processing techniques are used to analyze, extract features, and enhance the image. Finally, with the help of artificial intelligence algorithms, the system can recognize objects, detect defects, classify, and achieve automated production control.
What are the applications of industrial computers in machine vision?
1. Testing and quality control
Machine vision is widely used in quality control on production lines, and industrial computers can efficiently detect defects, foreign objects, and problems in the production process, improving product quality and production efficiency.
2. Automated production
Industrial computers can achieve automated control on production lines, adjust production parameters, optimize processes, and improve production efficiency through real-time monitoring and feedback.
3. Product traceability and data analysis
Industrial computers record and analyze image data during the production process, which can help enterprises achieve product traceability, track the manufacturing process of products, and ensure product quality and safety.
In addition, industrial computers can also help achieve automated classification and sorting. Through machine vision technology, industrial computers can automatically recognize the types, sizes, colors, and other characteristics of products, and then quickly classify and sort them, improving production efficiency and reducing labor costs.
How to choose an industrial computer with machine vision? The selection of industrial computer should pay attention to the following points:
1. Determine the size of the industrial computer
The space for automation equipment is limited, and the size of industrial control computers should be selected based on the size of on-site installation space.
2. Determine the installation method of the industrial computer
According to the feasible installation methods on site, industrial computers can be divided into wall mounted, rack mounted, desktop, and embedded. At the same time, wiring methods should be considered to avoid wiring difficulties such as front and rear wiring.
3. Determine the configuration of the industrial computer
Industrial control computers choose high-performance configurations to achieve efficient, accurate, and real-time image acquisition, processing, analysis, and recognition, supporting real-time monitoring and control to meet the needs of industrial applications that require rapid response. Supports multiple image input and output interfaces, such as USB, GigE Vision, Camera Link, HDMI, etc. It can be connected to various industrial cameras, sensors, displays, and other devices to achieve multiple image inputs and outputs. In addition. Some machine vision algorithms rely on powerful performance accelerators, such as GPUs, for real-time computing parallelism. Require the industrial computer to have a PCIex16 slot and a bandwidth that meets the needs of GPU usage.
