Vegelabel: The Smart Label Printer

Hello Dribbble!

This prototype for the Vegelabel app is designed to link to a Bluetooth label maker.

It is a health code violation in restaurants to store food in the fridge or pantry without a label showing the name of the food and the date it was last used.

The app uses a mobile device's camera to take a photo of food and logs the image into a database. The user will train the system of the name of the food. Using machine learning and neural networks, the system gradually learns what the food looks like over time, and gets smarter and stronger.

In this example (Part 1), the user snaps a shot of a plate of macaroni and cheese. Once the picture is taken, the app detects the correct name with 97% accuracy. The user confirms that the image matches the food name and inputs the number of labels to print.

To train the system, simply take a picture of the new food item. Once the camera captures the image, the user will click "This is not my food" and will enter the name of the new food. The app will log this new entry in and use it in future classifications. In this video, we pretend that a photo of Macaroni Salad has been taken (not macaroni and cheese), and the user taps "This is not my food" to train the system of the new, unrecognized food.

In Part 2, the user can print labels without taking a photo. The first half of the video demonstrates if the user needs to print multiple labels of various food items. The second half shows the options to Edit and Delete items in the database (these features are not demonstrated in the video).

This is my first shot! It's also my first time creating a full prototype using Adobe XD.

Special thanks to Unsplash for the main Macaroni & Cheese image. Thanks to Adobe Stock for the rest of the photos. And thank you to Icons8 for the icon package used in this prototype.

You can see Part 2 of this prototype below:
https://dribbble.com/shots/6363620-Vegelabel-Part-2