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Food Waste
Monitoring
Tracking and analyzing food waste patterns
across tourism and hospitality venues to build a
more sustainable future.
across tourism and hospitality venues to build a
more sustainable future.
Food Is A Data Problem
The OSU Sustainable Tourism Lab, along with partners in the College of Engineering and Computer Science are using machine learning and AI to monitor food intake to improve health outcomes. This project is part of a larger project to optimize the food supply chain from farm to trash.
Food Is A Data Problem
- Quantifying food intake is rarely done. Manual monitoring efforts are typically error-prone, inconsistent and labor-intensive. Employees are often left searching through trash bags, trying to measure how much of their food was left unconsumed, but with this technology, we can quantify the food intake in an automated way.
- Specifically, when the plated meal is ready to be served to the customer, the camera snaps a "before" photo as it leaves the kitchen. After the customer consumes as much food as they can and the table is cleared, the plate is brought back to the kitchen, where another camera then snaps an "after" photo.
- A computer algorithm then measures how much food was left on the plate and can calculate the total food intake for that meal. This process is repeated for every meal, collecting data, and providing the healthcare providers with critical information to improve health outcomes.
Projects Updates
Unter zuhilfenahme von unserem grande vegas casino Inanspruchnahme von Online-Kommerzialisierung vermag das Unterfangen die kostengünstige ferner effektive
Unter zuhilfenahme von unserem grande vegas casino Inanspruchnahme von Online-Kommerzialisierung vermag das Unterfangen die kostengünstige ferner effektive
Lab Introduction: Too little tourism? Too much Tourism! Join us as our students explore how tourism is affecting your town! […]