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备餐精准 用餐“光盘”(厉行节约 反对浪费)
Ren Min Ri Bao· 2025-07-26 21:52
Core Viewpoint - The introduction of a facial recognition system in the cafeteria of Jinjiang Town Government has significantly reduced food waste and improved meal management through data-driven decision-making [1][2][3]. Group 1: Implementation of Technology - The facial recognition system was introduced in May, allowing for precise identification of diners and enabling data analysis to optimize meal preparation [2]. - The system generates daily reports that help cafeteria managers predict meal needs based on historical trends and current reservations [2]. Group 2: Reduction of Food Waste - The overall kitchen waste in the Jinjiang Town cafeteria has decreased by nearly 40% since the implementation of the facial recognition system [3]. - The cafeteria has adopted practices such as "small spoon serving," on-demand rice addition, and promoting the "clean plate" concept to further minimize waste [3]. Group 3: Cultural Shift - There has been a cultural shift among diners, moving from a mindset of excess to one that values eating well without waste, reflecting a change in perception of what constitutes a "decent" meal [3].