AOI+AI
AOI+AI combines AOI technology with artificial intelligence (AI) technology to improve the detection accuracy of AOI technology. AOI+AI technology can effectively overcome the limitations of traditional AOI technology and improve product yield and production efficiency.
What is AOI?
Automatic Optical Inspection (AOI) is a technology that uses optical image processing techniques to automatically inspect products. AOI technology is widely used in industries such as electronics manufacturing, automotive manufacturing, food manufacturing, and pharmaceutical manufacturing to inspect product dimensions, shape, color, and surface defects.
Traditional AOI technology is mainly based on rule-based image processing techniques. Rule-based image processing techniques require pre-defining the standard image of the product and then using the standard image to detect product defects. This technology has the advantages of fast detection speed and low cost, but it is sensitive to product variability and difficult to detect complex defects.
AOI Technology Principle
AOI technology utilizes optical image processing techniques to extract features from product images and then evaluates product quality based on those features. The main steps involved in AOI technology are as follows:
Image Acquisition
Capture product images using cameras or other imaging devices.
Image Pre-processing
Pre-process the captured images, such as denoising and enhancing contrast.
Feature Extraction
Use image processing techniques to extract features from the product images.
Defect Detection
Determine product qualification based on the extracted features.
Key Technologies in AOI+AI
The core idea of AOI+AI technology is to leverage the powerful recognition and learning capabilities of artificial intelligence to overcome the shortcomings of traditional AOI systems.
The specific implementation approach is to adopt machine learning and deep learning AI techniques, automatically extracting the feature patterns of product surface defects from a large amount of real-world data, and continuously optimizing the identification models to achieve comprehensive and highly accurate defect detection capabilities.
Significantly improved accuracy and coverage
The powerful pattern recognition capability of AI enables quality inspection to reach an unprecedented level of accuracy. The tiny defects, latent defects, and new types of defects that are difficult for traditional detection methods to capture can be efficiently identified by the AOI+AI system.
Highly flexible and adaptive
AI models possess excellent self-learning capabilities, continuously evolving from data to adapt to changes in products and processes. This allows the AOI+AI system to provide efficient quality inspection services for new products without frequent updates and adjustments, far exceeding the flexibility of traditional AOI systems.
Dramatically improved efficiency
The intelligent optimization capabilities of AI make the inspection process highly efficient and streamlined. The system can autonomously identify high-risk defect areas and focus inspections on critical locations, avoiding the substantial amount of ineffective inspection actions in traditional approaches. This significantly improves detection efficiency while ensuring quality.
Data-driven optimization
The AOI+AI system can automatically analyze a large amount of quality inspection data, not only continuously optimizing the algorithm models to enhance detection performance, but also guiding the optimization of downstream processes and quality management, forming a positive feedback loop to achieve true quality control.
Substantial cost reduction
Through automated inspection and significantly improved yield rates, the AOI+AI technology can fundamentally reduce labor costs while also reducing the rework and compensation costs associated with quality issues.
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