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The need for dietary data management is growing with public awareness of foodintakes. As a result, there are increasing deployments of smart canteens wheredietary data is collected through either Radio Frequency Identification (RFID)or Computer Vision(CV)-based solutions. As human labor is involved in bothcases, manpower allocation is critical to data quality. Where manpowerrequirements are underestimated, data quality is compromised. This paper hasstudied the relation between the quality of dietary data and the manpowerinvested, using numerical simulations based on real data collected frommultiple smart canteens. We found that in both RFID and CV-based systems, thelong-term cost of dietary data acquisition is dominated by manpower. Our studyprovides a comprehensive understanding of the cost composition for dietary dataacquisition and useful insights toward future cost effective systems.

Cost of Dietary Data Acquisition with Smart Group Catering