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Intelligent Factory

2026-AI-based-Non-destructive-Drill-Bit-Inspection-Technology.jpg 圖片
2026.09.29Intelligent Factory

AI-based Non-destructive Drill Bit Inspection Technology

Precision drill bits are critical components in the micro-drilling process of printed circuit boards (PCB), and their quality directly affects PCB performance and durability. Current inspection methods rely heavily on manual operation and destructive testing using scanning electron microscopy, which is time-consuming, labor-intensive, and results in material waste.
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2026-Flexi-Modeler-for-OPC-UA.jpg 圖片
2026.09.29Intelligent Factory

Flexi-Modeler for OPC UA

Industry 4.0 adopts OPC UA as the communication standard to help integrate Taiwan's industries with international norms. By establishing OPC UA servers, data is captured from various devices and systems and provided to clients in a unified format. However, building device information models is complex, involving software installation, data definition, and security configurations, which adds to development costs and time. This technology assists users in quickly completing OPC UA modeling and facilitates the transfer of data to cloud or on-site systems for display, analysis, or decision-making.
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2026.09.29Intelligent Factory

AI Visual Inspection Platform

The rise of high-mix, low-volume manufacturing poses increasing demands on inspection flexibility. With three decades of experience in smart vision inspection, we integrate traditional AOI with AI technology to develop innovative and adaptable inspection systems, helping manufacturers significantly reduce inspection costs.
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2026.09.29Intelligent Factory

AI Smart Magnetic Particle Inspection Module for Magnetically Conductive Materials

Surface and subsurface cracks inspection is crucial in steel manufacturing. Fluorescent magnetic particle inspection (MT) techniques are typically the method for inspection. Uneven powder residue can lead to misinterpretations and result in error rates exceeding 20%. Additionally, exposure to black light (UV) poses risks to human eyes and skin, potentially causing conditions such as cataracts. AI is necessary to accurately identify defects, given the challenge of defining uneven residues in images.
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02-Injection-Molding-Full-Inspection-and-Process-Parameter-Optimization-Technology.jpg 圖片
2026.09.29Intelligent Factory

Injection Molding Full Inspection and Process Parameter Optimization Technology

Traditional injection molding industries rely on manual quality assessments, which results in unstable quality and decreased the production efficiency. The parameter adjustment is based on production experience. It leads to challenges in knowledge management and production parameters optimization. Intelligent quality control can be achieved by using AI could establish relationships between process parameters and defects in injection products, such as short shots and deformations.
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2026-AI-Identification-and-Feedback-Module-for-Appearance-Quality-of-Metal-Products.jpg 圖片
2026.09.29Intelligent Factory

AI Identification and Feedback Module for Appearance Quality of Metal Products

Traditional visual inspection are easily affected by metal surface reflections and uneven light source. It leads to misjudgment issues, especially inspects on irregularly shaped 3D metal parts. Factors like low detection rate, unstable effects, and limited applications cause difficulty to achieve the goals of intelligent inspection. Using AI for detection helps overcome problems related to metal surface reflections and uneven lighting, and interference from the shadowing.
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2026-SECS-GEM-Communication-Technology.jpg 圖片
2026.09.29Intelligent Factory

SECS/GEM Communication Technology

In the landscape of smart manufacturing and automated production lines, real-time data feedback and precise command execution are essential. However, fragmented communication protocols across diverse equipment often lead to integration bottlenecks, prolonged development cycles, and escalating maintenance costs. Our technology leverages a standardized communication framework to bridge these gaps. By streamlining configuration workflows and implementing automated communication mechanisms, we empower manufacturers to accelerate equipment integration, ensuring both operational efficiency and long-term system stability.
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202603-AI-WaJe.jpg 圖片
2026.09.29Intelligent Factory

AI-WaJe, An AI-optimized Water Jet System for Producing High-activity Rubber Powder from Waste Tires

Approximately 20 million tons of waste tires are generated globally each year. Due to their complex composition, recycling and reuse remain challenging. Conventional recycling produces rubber powder with less than 25% material activity, limiting its use to small amounts and restricting processing performance. As a result, it fails to meet the 2030 target of 40% recycled content in tire manufacturing.
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2026-AI-Operator-Guidance-Motion-Analysis-System.jpg 圖片
2026.09.29Intelligent Factory

AI Operator Guidance and Motion Analysis System

Despite advancements in Industry 4.0, many labor-intensive industries continue to struggle with automation due to the diversity of manual tasks. Our AI-driven system provides real-time guidance through SOPs, significantly reducing training time and preventing losses caused by human error.
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