The objective of this project is to develop an AR-based maintenance assistance system that overlays step-by-step repair instructions on industrial machinery. The system aims to reduce downtime, improve technician efficiency, and minimize operational errors through real-time augmented guidance.
Study industrial equipment maintenance workflows.
Identify suitable AR development frameworks.
Create 3D models of selected machinery components.
Implement object recognition for equipment identification.
Develop step-by-step overlay instructions with animations.
Integrate voice-command functionality for hands-free operation.
Add safety warning indicators within the AR interface.
Implement progress tracking and checklist features.
Test alignment accuracy of overlays.
Optimize application for wearable AR devices.
Conduct performance evaluation under simulated working conditions.
Prepare technical documentation and deployment guidelines.
Analyze potential cost savings and efficiency improvements.
