Surface defect detection is a technology based on machine vision to complete a series of detection tasks. It mainly includes modules such as transmission, image acquisition, image processing, and control execution. This technology can inspect surface appearance defects online, such as scratches, spots, color differences, etc., helping enterprises save production costs and improve product quality.
In the industrial production process, surface defect detection of products is an issue that every manufacturing enterprise pays attention to. With the rapid development of the electronics industry, some enterprises producing industrial parts are also continuously increasing the production. Traditional manual inspection is becoming increasingly inefficient and can no longer meet the requirement of modern enterprises. Today, machine vision equipment has become a popular device in the industrial sector, and surface defect detection equipment is widely used across various industries. With the rapid development of machine vision, the types of surface defect detection equipment are countless, and their functions are becoming increasingly powerful. So, how should we choose a surface defect detection ?
Material of the Detection Object
Determine the material of the product to be inspected, such as metal, glass, plastic, etc. Different materials have different technical requirements for the detection equipment.
Types of Defects
Clarify the types of defects that need to be inspected, such as scratches, bubbles, pits, cracks, spots, etc.
Defect Size
Consider the size of the smallest defect to be detected and choose equipment with the appropriate resolution.
Detection Speed
Choose detection equipment that matches the speed of the production line.
High-resolution cameras or sensors are more sensitive to detecting tiny defects.
Detection Accuracy
The accuracy requirement determines the complexity of the detection algorithm and the hardware performance.
Light Source Selection
Different light sources (such as LED, laser, infrared) are suitable for different detection scenes, ensuring illuminance uniformity and adaptability.
Field of View (FOV)
Make sure the field of view can cover the detection area to avoid blind spots.
Algorithms and Software Support
Choose software with powerful image processing algorithms, such as defect classification based on deep learning.
Multi-functionality
Whether the equipment supports multiple inspection tasks (various types of defects, multiple material products).
Environmental Adaptability
Whether the equipment can operate normally in special environments such as high temperatures and strong vibrations.
Supplier Qualification
Choose suppliers with extensive technical experience and good reputation.
After-Sales Service
Focus on equipment maintenance, technical support, and upgrade services.
Training Support
Whether detailed operational training is provided to assist operators in quickly mastering it.
EN
ko 
fr 
de 
es 
it 
ru 
pt 
ar 
hi 
jw 
zh-CN
