Machine vision is a technology that utilizes computers and various sensor technologies to understand and process images, videos, or other visual data. It mainly consists of industrial cameras, light sources, industrial control computers, and corresponding image analysis software systems.

Machine vision is mainly used in the manufacturing industry for appearance inspection, defect detection, etc. The detection requirements are different, but the detection process is to obtain images through CCD and acquisition cards, and analyze and process them through industrial computers. During this process, automatic shooting, recording, storage, and transmission of the target object can be achieved.

The working principle of machine vision is like a single functional industrial robot, such as using a camera to obtain images of the detected object, and special light sources enhance the features of the detected object in the image, such as size features, surface defect features, etc. Images with clear features are transmitted at high speed to industrial control computers for analysis, processing, and calculation of features. Based on the calculation results, industrial control computers can control the execution mechanism to perform actions such as classification, elimination, and alarm. The advantages of machine vision include:

Continuity: The industrial computer can work continuously for 7 * 24 hours, ensuring stability and reliability, and ensuring that there are no omissions in product testing.

High precision: The detection accuracy can reach one thousandth of an inch.

Flexibility: It can achieve fast and accurate recognition and tracking of objects, faces, barcodes, QR codes, and other targets. It can detect product size, shape, defects, stains, and other issues, and can also perform intelligent analysis and decision-making.

In a machine vision system, an industrial computer converts the captured target into an image signal and transmits it to a dedicated image processing system to obtain the shape information of the target, thereby completing the detection work. The image processing is completed by the industrial computer. From this, it can be seen that in machine vision, the performance of industrial control computers directly affects the processing speed and running time of the entire visual system, and is the key to the entire visual system. How to design an industrial computer for machine vision?

1. Configuration of 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. To accelerate processing speed and reduce current transformers, solid-state drives are used instead of mechanical drives.

2. Interface and expansion slot of industrial computer

Industrial computers support multiple image input and output interfaces, such as USB, GigE Vision, Camera Link, HDMI, etc. They can be connected to various industrial cameras, sensors, displays, and other devices to achieve various 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.

3. Customization of Industrial Control Computers

Industrial computer manufacturers can customize design and manufacturing according to application needs to meet the needs of different customers and industries.