The Share Wagon is a community design system designed to reduce food waste and build human connections in apartments, and communities.
It works on community sharing of excess groceries in an apartment complex to reduce food waste generated by the large package sizes of grocery chain purchases. So if you only need 5 strawberries but your grocery store doesn't sell you less than 20, you can always share the excess 15 with the apartment complex.
Responsibilities and Contribution Systems Design: Interaction Loops, Elements and Boundary Object Identification AI/UX Design: UI and UX design of mobile app for tracking share wagon groceries Visual Design: Systems diagrams, visual design of mobile app Fabrication: Woodworking, Laser Cutting
Team:
Vidit Bhargava, Aylish Turner, Yunting Zhao
A community centered system
Beyond Techno-Centrism
The mobile app in the system acts as an inventory management system helping residents stay on track with whatever's available in the wagon. The app's UI shows how much and what item's available to pick from the Share Wagon.
Each time someone puts groceries on the share wagon cart; its weight sensors capture the weight of the grocery item and an overhead camera clicks a picture. Sending it to the app's servers where it uses AI to estimate the quantity of the food based on the food item identified from the captured image and the recorded weight.
Detailed system diagram
AI isn't the lead actor here, it's not even the point of the system, in-fact the system works just as well without any tech; the proposed system is about sharing food amongst a community. But the app and AI help improve the quality of the system in a small but meaningful way.
Design Process
The mobile app in the system acts as an inventory management system helping residents stay on track with whatever's available in the wagon. The app's UI shows how much and what item's available to pick from the Share Wagon.
Each time someone puts groceries on the share wagon cart; its weight sensors capture the weight of the grocery item and an overhead camera clicks a picture. Sending it to the app's servers where it uses AI to estimate the quantity of the food based on the food item identified from the captured image and the recorded weight.
Detailed system diagram
AI isn't the lead actor here, it's not even the point of the system, in-fact the system works just as well without any tech; the proposed system is about sharing food amongst a community. But the app and AI help improve the quality of the system in a small but meaningful way.
