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How to configure a one-stop machine vision system?

Views: 0     Author: Site Editor     Publish Time: 2025-07-03      Origin: Site

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With the continuous development of intelligent manufacturing, machine vision is gradually becoming an indispensable "prosecutor" for automated production lines. From the initial image acquisition to the output of test results after data processing, the complete one-stop visual system architecture is the key behind the formal efficient and stable production line. So, how to build a high-performance, implementable one-stop machine vision system? Below we will explain it to you.

1. What is a one-stop machine vision system?

A one-stop machine vision system refers to a complete solution that integrates multiple links such as image acquisition, image processing, data analysis, and result output. This is a complete set of equipment that can realize automatic identification, detection, positioning and classification of target products without human intervention. It is often used in industrial scenarios such as surface defect detection, dimensional measurement, character recognition, and assembly verification.

2. Core components of system construction

Industrial camera: responsible for converting the physical information of the target to be measured into digital image data. Different resolutions, frame rates, interface types, etc. need to be selected according to application requirements.

Industrial lens: the key to determining image clarity

The lens directly affects the sharpness, distortion control and edge resolution of the image. FA lens, telecentric lens, high-definition low-distortion lens are common choices and need to match the size of the camera sensor.

Light source system: improve imaging contrast and stability

Light sources include coaxial light, backlight, strip light, point light source, ring light, etc. The best lighting solution is selected according to the material, color and detection characteristics of the object being measured.

Image processing software or intelligent visual controller

The software platform undertakes tasks such as image processing, feature extraction, and judgment logic. The introduction of deep learning algorithms enables the system to show higher accuracy in complex defect identification and appearance grading.

Output interface and PLC/robot collaboration

The detection results are fed back to the production line through IO ports, TCP/IP, Modbus, etc., to achieve linkage with PLC, robotic arms and other equipment, and complete the closed-loop process of "detection-judgment-action".

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3. Advantages of one-stop system

Rapid deployment: equipment selection, installation and debugging processes are highly standardized to reduce project development cycles.

Stability: The equipment cooperates well, reduces incompatibility issues, and ensures the long-term operation of the detection system.

Scalability: The system architecture supports modular expansion to meet the growth of later needs.

Service support: Zhixiang Shijue provides integrated configuration services, and the technical response is more timely.

4. Typical application cases

3C electronic manufacturers: connector terminal detection system

Technicians understand customer needs online, deploy a high-resolution industrial camera + telecentric lens + coaxial light source, and combine visual software to complete the detection of connector pin count, offset, bending and other defects. After the system is integrated into the assembly line, the detection speed is as high as 300 pieces/minute, and the missed detection rate is less than 0.1%, which greatly improves the quality consistency.

Automotive parts companies: cylinder surface defect detection

Use smart cameras with ring light sources and AI visual algorithms to detect multiple types of defects such as pores and sand holes on the surface of castings, replacing traditional manual visual inspections, and effectively improving efficiency and data traceability.

5. Construction suggestions and selection tips

Clearly define the detection goals and accuracy requirements;

Perform sufficient testing and verification at the beginning of the project to avoid repeated modifications later;

Consider the compatibility of future expansion and system upgrades.

With the continuous evolution of AI algorithms and industrial hardware, one-stop machine vision systems are creating more competitive "unmanned factory" infrastructure for manufacturing companies with higher flexibility and stronger intelligence. As a professional machine vision solution provider, Zhixiang Shijue has a complete equipment supply and rich integration experience, and looks forward to providing more customers with efficient and intelligent vision system support.


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