Intelligently Identifying and Locating Electronic Components in Power System Circuit Diagrams is a project aimed at developing an AI-based solution to automate the identification and localization of electronic components within power system circuit diagrams. Given the large volume of diagrams handled by power companies, manual analysis is often inefficient and error-prone. By leveraging artificial intelligence and image processing techniques, this project seeks to detect various components and accurately determine their positions within these diagrams. This approach will enhance efficiency in power system design, planning, analysis, and troubleshooting.
| Folder | Description |
|---|---|
| Documentation | all documentation the project team has created to describe the architecture, design, installation, and configuration of the project |
| Notes and Research | Relevant helpful information to understand the tools and techniques used in the project |
| Project Deliverables | Folder that contains final pdf versions of all Fall and Spring Major Deliverables |
| Status Reports | Project management documentation - weekly reports, milestones, etc. |
| scr | Source code - create as many subdirectories as needed |
- Changqing Luo - Department of Computer Science - Faculty Advisor
- Kyle Jones - Computer Science - Student Team Member
- Daniel Polen - Computer Science - Student Team Member
- Alex Kem - Computer Science - Student Team Member
- Erick Zheng - Computer Science - Student Team Member