Strategies for Automated Identification of Food Waste in University Cafeterias: A Machine Vision Recognition Approach

Strategies for Automated Identification of Food Waste in University Cafeterias: A Machine Vision Recognition Approach

To ensure the effective implementation of food waste reduction in college cafeterias, Capital Normal University developed an automatic plate recognition system based on machine vision technology. The system operates by obtaining images of plates (whether clean or not) and the diners’ faces through m...

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Bibliographic Details
Main Authors: Yongxin Li, Chaolong Zhang, Hui Xu, Yuantong Yang, Han Lu, Lei Deng
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
food waste prevention
deep learning
object detection
education
clean plate campaign
Online Access:https://www.mdpi.com/2076-3417/15/9/5036
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