GloryIGI Smart Equipment Inspection System supports equipment and maintenance teams with AI-assisted, image-based inspection. Dedicated vision models analyze equipment status, gauge readings, and visible conditions such as leaks, spills, and emissions.
Visual low-code configuration adapts inspection procedures to different equipment and connects with MES and EAP. Collected inspection data supports equipment health reports and predictive maintenance suggestions, helping teams move from recording conditions to repair work orders and follow-up actions.
Achieving "image-based inspection" based on leading AI vision recognition technology. Utilizing dedicated vision models for precision instruments to automatically analyze and evaluate equipment status, gauge readings, leaks, spills, and emissions, making the entire inspection workflow intelligent.
Low-code platform design supports rapid deployment and seamless multi-scenario integration. Visual configuration tools allow quick adaptation to different equipment and inspection procedures; platform architecture easily integrates with production systems like MES and EAP to achieve data interoperability.
Delivering a complete value closed loop from data collection to decision support. Beyond replacing manual recording, data analytics generates equipment health reports and predictive maintenance suggestions, directly driving repair work orders and process parameter optimization to form a management closed loop.
