1. Introduction
With the advent of the Industrial 4.0 era, visual inspection technology has become an indispensable part of the manufacturing industry. By combining advanced computer vision, AI algorithms and automation equipment, industrial visual inspection provides a revolutionary solution for production line quality control and efficiency improvement.
2. Scenario Introduction
2-1. What is visual inspection technology in industrial production
Industrial visual inspection technology is an automated inspection technology based on computer vision and artificial intelligence, which is widely used in quality control and process optimization in the manufacturing industry. By capturing the appearance of products with high-precision cameras and analyzing the data with software algorithms, visual inspection technology can efficiently and accurately identify defects, measure dimensions, and detect assembly quality.
2-2. Industrial visual inspection equipment solutions
In industrial production, choosing the right visual inspection equipment is key. The following are common equipment components:
a. High-resolution industrial camera
Captures high-definition images, suitable for tiny defect detection.
b. Multi-spectral light source
Provides lighting conditions that adapt to different materials and environments, such as infrared or ultraviolet light.
c. Image processing software
Algorithms based on AI and deep learning perform real-time image processing and analysis.
d. Mechanical control module
Ensures seamless integration of inspection equipment with production lines.
3-3. Application of AI-based industrial visual inspection technology
AI technology is the core driving force of industrial visual inspection. Through machine learning and deep learning algorithms, visual inspection systems can complete the following tasks:
· Automatic classification: quickly distinguish good products from bad products.
· Defect detection: identify micron-level cracks, scratches and other defects.
· Predictive maintenance: by analyzing data trends, early warning of possible equipment failures.
Practical application: In automobile manufacturing, AI visual inspection technology is used to detect the surface quality of engine parts, reduce manual inspection errors, and save labor costs.
4-4. Visual inspection methods for industrial production quality control
The core of visual inspection technology lies in real-time and efficient quality control. The following are several common methods:
a. Dimension measurement:
Used to detect whether the parts meet the design specifications.
b. Appearance inspection:
Check whether there are scratches, stains and other defects on the surface.
c. Assembly verification:
Ensure that the parts are assembled correctly to avoid missing or wrong assembly.
Challenges and solutions: Traditional visual inspection may misjudge reflective materials, which can be effectively solved by customized light sources and image preprocessing algorithms.
