Advantech Case Studies Modular AI Defect Inspection Solution
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Modular AI Defect Inspection Solution

Advantech
Modular AI Defect Inspection Solution - Advantech Industrial IoT Case Study
Analytics & Modeling - Computer Vision Software
Analytics & Modeling - Machine Learning
Sensors - Camera / Video Systems
Sensors - Optical Sensors
Semiconductors
Quality Assurance
Computer Vision
Visual Quality Detection
System Integration

Smasoft Technology Co., Ltd. is a System Integrator that develops industrial automation software and offers AI application solutions. Its self-developed AINavi-AOI-Seq automated software platform and AINavi-AOI-Semicon AI defect inspection tool have been well-liked and adopted by the semiconductor and electronics industries. Recently, the company was commissioned by a semiconductor equipment manufacturer that manufactures Extreme Ultraviolet Light (EUV) pod inspection machines to implement defect AI inspection features.

The EUV pod inspection machines have built-in AOI software, but can only find defective products, not determine what is causing the issue in the manufacturing process. To make products more useful, the semiconductor equipment manufacturer decided to upgrade their EUV pod inspection machines with AI features.

According to the customer's request, Smasoft's AI solution must complete the analysis of 380 images for a single pod within two minutes and inspect different materials at the same time. Consequently, multiple sets of AI models (algorithms) were needed for interpretation. In addition, because the solution needed to be installed in a cabinet in the lower half of the machines, the size and configuration of the hardware had to be constrained due to the limited space.

To this end, Smasoft would implement two sets of software, AINavi-AOI-Seq, and AINavi-AOI-Semicon, to distinguish the types and locations of defects through AI, and then classify defects by threshold screening. Moreover, the results would be exported into a test report to facilitate identifying the source of the problem.

To meet these software requirements, Smasoft needed to purchase a hardware solution with strong computing performance and stable operation. The solution needed to be compact in size and flexible in configuration to overcome physical space constraints.

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Smasoft Technology is a company that provides industrial automation solutions. We develop revolutionary automation software for our clients. With our innovative approach towards automation, that is, modularizing automation functions, along with the integration of our AI detection software for complex defects, our clients require no coding knowledge. With what we provide, the clients can develop their self-tailored program for any of their production lines effortlessly.

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Smasoft Technology Co., Ltd.

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After a rigorous selection, Smasoft tested the hardware products of multiple vendors for several days. The company finally chose Advantech's solution (including compact fanless system MIC-770, GPU expansion module MIC-75G20, and AI inference system MIC-730AI), because its performance, modularity, and stability were deemed the best.

The first step in the implementation process was to install the AINavi-AOI-Seq and AINavi-AOI-Semicon software on MIC-770 and install the AINavi-AOI-Semicon on the MIC-730AI. After that, the EUV pod inspection machine could take images and transmit them to the MIC-770 (built-in MIC-75G20) for preprocessing. The pre-processed data is then analyzed by MIC-770 and MIC-730AI for different AI models. After the analysis, AINavi-AOI-Seq classifies and grades the selected defective products according to the types and severity of defects (such as stains, scratches, and watermarks), while generating quality inspection reports for customers to review.

Among the multiple hardware products used in this project, the MIC-770 is a refined system. This industrial-grade computer with a compact design is most suitable for applications where space is limited. The built-in Intel Core I series processors give it high-efficiency computing capabilities and low power consumption characteristics.

Supporting Advantech's i-Module Series enables the MIC-770 to easily meet the needs of different application scenarios by plug-in expansion. For example, the project chose MIC-75G20 from a variety of modules. Through this expansion module, the system can not only provide powerful GPU graphics processing capabilities but also can increase storage space with an additional hard drive slot to meet the needs of backing up important data.

Another hardware product, the MIC-730AI, is a master of inference for AI. Just like the MIC-770, this high-performance computer with embedded NVIDIA Jetson AGX Xavier processor is a fanless, compact, and low-power design. It can be used as an inference machine for deep learning and can also be responsible for analysis tasks of defect inspection.

In terms of software, the AINavi-AOI-Seq is an automated development platform that connects traditional algorithms and AINavi-AOI-Semicon AI inspection. Users can quickly set up the AI defect inspection process via a user-friendly interface. There is no need to develop programs, which greatly reduces the burden on developers and speeds up the development of AI functions for automated machines.

AINavi-AOI-Semicon has a variety of AI detection algorithms specifically designed for the semiconductor industry and defect inspection tool applications. It can perform multiple tasks such as defect image classification, defect location, defect segmentation, abnormal image detection, and the identification of various flaws in the tested product.

Furthermore, AINavi-AOI-Semicon, which uses a visual web interface, guides users to build AI model training through a step-by-step approach. Its flexible and scalable computing architecture allows AI models and inspection methods to be developed according to the item of inspection and can upgrade inspection equipment without affecting existing machine functions.

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[Efficiency Improvement - Deployment]

Its flexible and scalable computing architecture allows AI models and inspection methods to be developed according to the item of inspection and can upgrade inspection equipment without affecting existing machine functions.

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