Technological Revolution Transforming Manufacturing

In today’s rapidly evolving technological world, AI-powered smart manufacturing technology is emerging quickly, bringing revolutionary changes to the manufacturing industry. Among these technologies, SmartFork stands out, transforming the way manufacturing operates, improving production line efficiency, reducing costs, and creating a safer working environment.

T-Parus: The Future of Manufacturing

SmartFork is a monitoring technology that combines AI software and hardware, enabling robots to perform tasks more flexibly and automatically issue alerts or even intervene in PLC during production anomalies to prevent disaster escalation. This technology focuses on enhancing the performance of wafer and panel handling devices by providing monitoring, inspection, and slip prevention functions to reduce losses.

Key Features

1. Wireless Vibration Sensing: Equipped with patented smart vibration monitoring sensors, achieving real-time detection and early feature collection.

2. Anomaly Feature Analysis: Analyzes part aging and handling anomalies, quickly responding to abnormal situations in coordination with the FDC alert system.

3. Anti-Slip Polymer Pads: Effectively prevents product slippage during handling, reducing losses.

4. Increased Speed and Production Capacity: Comprehensive solutions enhance handling efficiency and increase production capacity.

Core Concept of the SmartFork Project

The SmartFork project aims to apply AI monitoring technology to the operation and control of semiconductor and panel robots, achieving smarter and more efficient logistics and manufacturing processes. The main goals of this project include:

•Improving Logistics Efficiency: Optimizes logistics processes through intelligent monitoring and automation, enhancing overall efficiency.

•Reducing Costs: Minimizes losses caused by product slippage and equipment anomalies, thereby reducing operational costs.

•Enhancing Workplace Safety: Ensures workplace safety through real-time monitoring and anomaly intervention, preventing potential hazards.

What is the Comprehensive Solution of the Smart Arm?

1. Autonomous Monitoring

The SmartFork project allows robots to monitor autonomously without human intervention. Through machine learning and sensing technology, minor anomalies that previously caused wafer damage are now detectable. With SmartFork’s autonomous monitoring, each wafer handling path undergoes repeated learning. When the robot exhibits any abnormality affecting handling quality, AI can automatically detect the anomaly and intervene immediately to stop further losses. This not only improves work efficiency but also reduces the risk of accidents.

2. Real-Time Data Analysis

SmartFork collects vast amounts of data and performs real-time calculations and analysis via MCU. It customizes vibration values into graphical representations on the main control panel, enabling manufacturers to better understand handling quality, predict potential problems in advance, and lower production costs. It also allows for early responses to potential robot anomalies and even schedules maintenance in advance.

3. Safety and Sustainability

SmartFork emphasizes safety and sustainability. AI monitoring enables robots to avoid collisions, reduce energy consumption, and ensure wafer production safety. This helps reduce workplace accidents while lowering energy costs and being environmentally friendly.

Project Application Examples

The SmartFork project has been successfully applied in multiple semiconductor and panel fields. Integrating Industry 4.0, data is sent to the factory command center. For instance, panel manufacturer I completed full implementation across all plants in 2021.

Conclusion

SmartFork represents the immense potential of AI technology in manufacturing. It not only improves production efficiency but also enhances working conditions and safety. The successful application of SmartFork demonstrates how AI technology can transform the manufacturing industry, making it more competitive and sustainable. As this technology continues to develop, we can expect to see more innovations like this, leading manufacturing into a smarter and more efficient future.