Face Recognition Door Access Management System – Python/Django Tutorial
This article introduces a Python‑based face‑recognition door access management system built with Django, REST framework, JWT, Redis and Dlib, detailing its features, required environment setup, step‑by‑step installation commands, configuration files, and how to run the project on both PC and mobile interfaces.
This article presents a door access management system that uses face recognition, implemented with Python and the Django framework.
The project combines Django (backend), H5/CSS/JS (frontend), MySQL (database), Redis (cache) and Dlib (face‑recognition library), and integrates JWT, SMTP, AliCloud AFS, CodePay and QQConnect for extended functionality.
Key features include dormitory access control, utility fee management, online recharge, repair requests, system logs, and more, making it suitable as a graduation design project.
Installation steps: 1) Download the source code. 2) Start MySQL (5.7.27 recommended) and Redis (default 127.0.0.1:6379, password Qq111111). 3) Edit settings.py to configure database connections and enable services such as SMTP, AliCloud AFS, CodePay, and QQConnect.
Database migration commands:
python manage.py makemigrationspython manage.py migrateImport initial system settings from /数据库/system_setting_systemsetting.sql.
Start the application with: python manage.py runserver 127.0.0.1:8080 The article includes numerous screenshots showing the PC front‑end, mobile front‑end, and camera interface of the system.
At the end, a QR code is provided for readers to obtain additional Python learning resources for free.
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