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Sam Shih-Cheng Chien
YANKEY Engineering Co.
R&D Center
Vice President
Education
Nagoya University, School of Science, Department of Chemistry
Experience
· Associate Researcher of STPI of National Applied Research Laboratories, Taiwan
· Operation Manager of SGS North American
· Head of Semiconductor Platform of SGS Taiwan
· Executive Secretary of Taiwan Bioinorganic Chemistry Society
Speech Title and Abstract
Eyes in the Air: How AI-Driven UAV Redefine Indoor Inspection and 3D Progress Modeling in High-Tech Facilities
In the high-tech industry, where construction schedules are heavily compressed, traditional manual inspections can no longer meet the demands of agile construction. This presentation will explore how Yankey Engineering overcomes the limitations of GPS-denied indoor environments and complex MEP (Mechanical, Electrical, and Plumbing) layouts by deploying "AI-driven autonomous indoor drones" for automated facility inspection and modeling. The content will focus on three key practical applications: 1. Autonomous Navigation in GPS-Denied Environments: Utilizing VSLAM (Visual Simultaneous Localization and Mapping) technology integrated with AI recognition to execute drone inspection missions within complex indoor facility spaces. 2. Scan-to-BIM for Progress Tracking: Leveraging Photogrammetry to convert massive overlapping 2D images into high-precision 3D deliverables. By comparing these outputs with BIM models through a "Scan-to-BIM" process, we can accurately quantify construction progress and preemptively detect spatial clashes. 3. AI Vision for Proactive Safety Patrols: Demonstrating the practical deployment of AI computer vision in safety monitoring. Compared to common indoor inspection robotic dogs that are limited by floor conditions, fully automated autonomous drones overcome ground-level constraints. Equipped with AI recognition, they eliminate the blind spots of fixed indoor cameras, enabling immediate detection and response to emergencies. We will showcase how this forward-looking technology overcomes current operational bottlenecks for real-world application. It not only mitigates safety risks but also continuously collects indoor environmental parameters during inspections, laying a crucial foundation for the Digital Twin of next-generation high-tech facilities.
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