{"id":24230738,"url":"https://github.com/emre-guler/code-reader","last_synced_at":"2025-10-17T15:33:00.986Z","repository":{"id":270516191,"uuid":"871158941","full_name":"emre-guler/code-reader","owner":"emre-guler","description":"This project was generated with the assistance of AI (Cursor) to create a code reader application for processing student identification codes using OCR technology.","archived":false,"fork":false,"pushed_at":"2024-12-31T20:32:14.000Z","size":10,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-02T05:42:28.005Z","etag":null,"topics":["ai-generated","ocr-recognition","python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/emre-guler.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-10-11T11:43:40.000Z","updated_at":"2024-12-31T20:32:17.000Z","dependencies_parsed_at":"2024-12-31T21:24:20.504Z","dependency_job_id":"da0c75da-dbb4-4bdf-998d-906172299431","html_url":"https://github.com/emre-guler/code-reader","commit_stats":null,"previous_names":["emre-guler/code-reader"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emre-guler%2Fcode-reader","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emre-guler%2Fcode-reader/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emre-guler%2Fcode-reader/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emre-guler%2Fcode-reader/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/emre-guler","download_url":"https://codeload.github.com/emre-guler/code-reader/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241827080,"owners_count":20026599,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ai-generated","ocr-recognition","python"],"created_at":"2025-01-14T13:30:04.400Z","updated_at":"2025-10-17T15:32:55.953Z","avatar_url":"https://github.com/emre-guler.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Code Reader\n\nA Python application that uses computer vision and OCR (Optical Character Recognition) to read and process specific code patterns from a camera feed. The application matches these codes with student names and exports the results to an Excel file.\n\n\u003e **Note**: This project was generated with the assistance of AI (Cursor) to create a code reader application for processing student identification codes using OCR technology.\n\n## Features\n\n- Real-time camera feed processing\n- OCR text recognition using Tesseract\n- Pattern matching using regex (format: S-###-###-####)\n- Automatic student name and code matching\n- Excel export functionality\n\n## Requirements\n\n- Python 3.x\n- OpenCV (`cv2`)\n- Pytesseract\n- Pandas\n- Tesseract OCR engine\n\n## Installation\n\n1. Install the required Python packages:\n```bash\npip install opencv-python pytesseract pandas openpyxl\n```\n\n2. Install Tesseract OCR engine:\n   - For macOS: `brew install tesseract`\n   - For Windows: Download and install from [GitHub Tesseract Release](https://github.com/UB-Mannheim/tesseract/wiki)\n   - For Linux: `sudo apt-get install tesseract-ocr`\n\n## Usage\n\n1. Create a `students.txt` file with student names (one name per line)\n2. Run the application:\n```bash\npython app.py\n```\n3. Point your camera at the codes you want to scan\n4. Press 'q' to quit the application\n5. Check the generated `student_codes.xlsx` file for results\n\n## File Structure\n\n- `app.py`: Main application code\n- `students.txt`: Input file containing student names\n- `student_codes.xlsx`: Output Excel file with matched names and codes\n- `recognized_text.txt`: Log file of recognized codes\n\n## License\n\nThis project is licensed under the terms specified in the LICENSE file. \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Femre-guler%2Fcode-reader","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Femre-guler%2Fcode-reader","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Femre-guler%2Fcode-reader/lists"}