AI defect detection solution
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The Huazhi Supercomputing AI Defect Detection Solution is an automated quality inspection solution based on artificial intelligence technology, widely used in various industries such as manufacturing, automotive manufacturing, electronic assembly, packaging, and textiles. This technology utilizes advanced techniques such as deep learning, computer vision, and big data analysis to capture product image information in real-time through high-precision cameras, and inputs these image data into pre-trained models for analysis, achieving rapid and accurate detection of product defects. The AI defect detection technology significantly enhances product quality and production efficiency through automated and intelligent quality inspection methods, making it an indispensable tool in modern manufacturing.
Solution Architecture
Workflow
Modular process, efficiently completing the deployment and application of customized algorithms on the AI analysis host.
Solution Components: Software
2. Can flexibly respond to challenges of product model changes and small data volumes.
3. Achieves functions such as surface defect detection, functionality loss detection, and area calculation.
4. Suitable for scenarios such as electronic component identification, PCB component collisions, missing components, structural damage, and film damage.
2. Can fully utilize small sample data for defect detection.
Solution Components: Hardware
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AI Analysis Host
By deploying the AI analysis host, it provides low-power, ultra-strong computing power and decoding capabilities for edge computing scenarios on production lines, supporting millisecond-level real-time AI analysis to achieve AI defect detection functions; AI algorithms can be flexibly configured based on different detection objects, requirements, and complex and variable actual working conditions, with multiple computing power and algorithm options.
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Solution Value
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High algorithm accuracy |
High detection efficiency |
High stability |
Sustainable iteration |
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Machine vision automated quality inspection can solve the positioning, detection, and recognition applications of similar components and small-sized targets through image processing systems, achieving an accuracy of 97%, making it more reliable than manual quality inspection. |
Supported by computing power and edge technology, machines can perform quality inspections at a set frequency, significantly improving efficiency compared to manual quality inspection, meeting the production efficiency requirements of fully automated production lines. |
Supports 7*24 hours of continuous operation, will not experience fatigue, unlike manual quality inspection which relies on the skill level and personal work status of inspectors, leading to false positives and missed detections. |
The results of machine vision detection, whether product status or detection result descriptions, can be easily and automatically saved and archived, continuously iterating to improve algorithm accuracy. |
Application Scenarios
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Automotive Parts |
3CElectronic Products |
Semiconductors |
Energy |
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Textiles and Leather |
Packaging |
Agricultural Products |
Other Industries |
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Contact Us
Headquarters Phone:086755-86269617
086755-86260877
Technical advice:08615889317280
Business consulting:08618188628371
Add: 17/F, Building D, AuteKeXin Technology Park, Beihuan Avenue, Nanshan District, Shenzhen, China
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