AI-driven Recognition System: Productivity & Sustainability

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AI-driven Recognition System: Productivity & Sustainability

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Action recognition is a key application of AI-powered computer vision, enabling systems to identify the relationship between human movements and surrounding objects. This technology can be used to monitor whether packaging or assembly tasks are performed in accordance with standard operating procedures (SOP), while simultaneously calculating the cycle time for individual operations. Recognizing this demand, Wistron developed its own action recognition technology — WiHandAction.

WiHandAction is widely deployed across production lines for real-time error detection, time and motion studies, and performance management. By integrating image recognition with deep learning, the system focuses on verifying workflows at the production site, helping to enhance product quality, strengthen process calibration, and reduce labor costs. Compared to domestic sites, overseas facilities demonstrate an even stronger demand for quality enhancement tools. As such, the WiHandAction system was first rolled out at international locations.



Notably, it has also become a key point of interest for Wistron’s clients, serving as a powerful tool for quality control and a contributor to improved customer satisfaction. The system comprises three major functional modules:
 

  • Module 1: Automatic Error Detection at Critical Workstations
    By establishing standard operational models through AI, the system captures workers’ movements via cameras in real time and automatically detects any missing or incorrect critical actions.
  • Module 2: Real-Time Cycle Time Collection at Key Workstations
    The system uses logic-based triggers to define the start and end of an action, automatically recording the cycle time (CT) for each product, which enables efficiency improvements.
  • Module 3: Line-Balance Optimization Recommendations
    The system identifies and analyzes micro-level actions at bottleneck workstations to generate optimized task distribution suggestions.


Through the integration of AI into manufacturing, WiHandAction has successfully optimized production workflows and significantly improved overall employee efficiency. Not only is it a technological innovation, it also enhances occupational safety and reflects Wistron’s care for its employees. Guided by the corporate vision of “Sustainability through Innovation,” Wistron continues to embed cutting-edge technologies into its daily operations — fulfilling its long-term commitment to employees, the community, and a more sustainable future.