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Publication Type : Journal Article
Publisher : Springer Verlag
Source : Communications in Computer and Information Science, Springer Verlag, Volume 968, p.41-52 (2019)
Keywords : Android, Android (operating system), Arduino, Behavioral research, decision making, Internet of things, Inventory control, Inventory tracking, Kitchens, Load cells, Message queues, NodeMcu, Signal processing, Tracking (position)
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Year : 2019
Abstract : A key component in effective kitchen management is inventory control. Keeping track of the kitchen inventory leads to more informed planning and decision-making. With technology advancing in a fast pace and everything around us becoming automated, people prefer to monitor and perform their day-to-day activities by using the smart devices they carry everywhere rather than manually recording and monitoring things. Maintaining and keeping track of everyday common food inventory is becoming one of the major problems in various households, restaurants and food chains. Replenishing the containers at the right moment and also knowing the expiry of foods is a major concern. Working people and busy restaurants find it difficult to keep track because it requires human intervention at the right time. Through this, it is easy to keep an eye on potential problems related to waste and pilferage. In this project we propose an IOT (Internet of Things) based food inventory tracking system, which ensures real time monitoring of the kitchen inventory. The collected data can be analysed in real time to understand the daily or weekly consumption and also predict usage/consumption patterns. There is also provision to check the real time status, history of consumption through an android application. The system contains a Microcontroller, load cell and wireless Module, MQTT broker, a desktop application and an Android application through which real time inventory tracking is performed. The proposed solution is completely wireless and reliable for both domestic and commercial purposes.
Cite this Research Publication : S. P. Lakshmi Narayan, Kavinkartik, E., Prabhu E., ,, ,, D., C., O., M., and K.-C., L., “IoT Based Food Inventory Tracking System”, Communications in Computer and Information Science, vol. 968, pp. 41-52, 2019.