Design Objective: This project aims to develop a next-generation AI-powered intelligent tool management system, with AI-based visual recognition technology serving as its core functionality. The system is designed to supersede conventional RFID-enabled tool management cabinets currently available in the market. By leveraging advanced computer vision capabilities, it enables standardized, traceable, and auditable management of instruments and tools; supports enterprise-wide implementation and continuous improvement of 6S management practices; and mitigates foreign object debris (FOD) risks—specifically, those arising from tool misplacement or loss that could lead to operational safety incidents.

Application Advantages: Unlike RFID-based solutions, this system employs high-resolution camera acquisition coupled with proprietary AI algorithms for real-time, contactless, and label-free tool identification. It eliminates recurring consumable costs (e.g., RFID tags) and avoids interference from electromagnetic or radio-frequency environments. Key functional benefits include: (1) real-time monitoring of tool check-in/check-out status; (2) automated calibration scheduling and reminders for precision instruments and critical tools; (3) visibility into the maintenance lifecycle of high-value tools—including off-site repair status; (4) precise, tamper-resistant digital logging of tool location, custody, and condition—thereby significantly reducing safety hazards and preventing tool loss; and (5) enforcement of standardized tool storage protocols, which enhances operational efficiency and workplace discipline.

Application Domains: Aerospace manufacturing and MRO facilities; railway rolling stock assembly and maintenance depots; automotive production lines and final assembly workshops; nuclear, hydro-, and thermal power generation plants; electrical substations; and field service operations for power distribution infrastructure installation and maintenance.