Transparent cube with a smartphone displaying a food waste tracking app.

Food Waste

Transparency Bin

Food Waste Transparency Bin

Food waste can occur during all stages of the food consumption process, from purchase, storage, to disposal. People lack understanding of it and have no idea how to change it.

Infographic on food waste in the UK

Development

Infographic on potato waste in the UK and potential solutions. It details "Potato waste in UK households" and three solutions: Potato Keeper, Guidance Tool, and Home Power Station. Describes "Food Waste Black Box," "Food Extruder," and "Food Waste Transparency Bin." Includes icons and flowchart arrows.
Diagram illustrating a circular process of food management including storage, preparation, discard, plan, and purchase, with icons for each step. A smartphone app is shown in the center, providing food waste data analysis.

System

Helping people develop their food consumption habits to be more responsible and reasonable is something we are doing. This system is not expect to change your behaviour immediately but will intervene (give advice and show facts) at every stage regarding food consumption and change you progressively.

A transparent device with a compartment, possibly a food waste tracker, next to a smartphone displaying an app interface that summarizes food waste data in graphs and numbers over the past seven days.

Hardware

The bin will begin to analyse the waste (weight and type) and perform classification by machine learning when you throw away new food waste.

Recognisable and valuable ingredients will be counted and sent to the app (except for some kitchen leftovers such as peels, which cannot be used).

Application

A hub that show the facts and trends of your food waste and give you Insightful advice and reminders based on that.

The facts provide you with a sense of how much and what type of food you waste, and the trends on how much you have improved over yesterday and how you compare with others. With insightful advice and reminders, you find the problem you may have ignored before, and you can receive advice based on your waste trends.

  • A clear acrylic box with electronic components, including a digital display and wires, placed on a white table.

    Prototype

  • Collage of machine learning data analysis, including an image of a pepper, FOMO classification, feature distribution, performance metrics, and classification accuracy.

    Machine Learning

  • Microcontroller board on display in a classroom setting.

    Arduino Portanta

  • A transparent plastic box containing fruits and vegetables with a digital display reading "DSS3" on top. An iPhone displaying a food waste tracking app with a pie chart and statistics is placed in front of the box.

    DEMO