A Python, Mongodb and Sveltekit project to register access to a door
Choose Your Own Adventure
Use the following credentials to login:
user: test
password: test
- Create a MongoDB database named "db" with the following collections:
- users
- access_log
- auth
- cd to the frontend directory
- Create a .env file in the frontend directory and add the following variables:
MONGODB_URI=your_mongodb_uri
ENV=production
JWT_SECRET=random_stringReplace your_mongodb_uri with the uri of your MongoDB database and random_string with a random string.
- Add an admin to the database by inserting the following data
{
"username": "admin",
"salt": "salt",
"hash": "hash"
}Get the hash and salt values by running the following command:
npm run hash <password>- Now run the app with the following commands:
npm install
npm run build
npm run previewVisit http://localhost:4173 to see the webapp
| fig. 1 - Login Page |
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| fig. 2 - Main Dashboard |
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| fig. 3 - User List |
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| fig. 4 - Adding a user |
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| fig. 5 - Dasboard Mobile view | fig. 6 - User List Mobile View |
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With this webapp you can view the list of users that have access to a door, add new users and delete them. You can also view the history of the access to the door that are recognized by face recognition.
https://github.com/andrebellu/f-rec
MIT License
We thought about a project that could be useful in our daily life. We decided to create a webapp that could be used to register the access to a door. Maybe it could be useful in a school or in a company where you want to know who has access to a specific door and restrict the access to some people. Maybe you can use an arduino to open the door when the face is recognized or you can use a raspberry pi to do the same thing.
We used python to make a script that uses the webcam that is connected to the computer to recognize the face of the user. If the face is recognized, the script sends the log to the MongoDB database. We used SvelteKit to create the webapp that uses the MongoDB database to show the list of users that have access to the door and the history of the accesses to the door. The people entered in the same day are counted and shown in the dashboard. The webapp is responsive and can be used on mobile devices. We used the following technologies:
- MongoDB
- Python
- OpenCV
- Face Recognition
- pymongo
- Sveltekit
- TailwindCSS
- jsonwebtoken
Stack overflow is a great resource to find solutions to problems that you have. We used it to find solutions to problems that we had. We also used the following resources:
| Mattia Nicastro |
| Andrea Bellu |
| Stefano Longhena |
| Leonardo Baccalario |
| Francesco Annunziata |