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Development of IoT based fresh food delivery tracking system using GPS
Date Issued
2020
Publisher
IOS Press BV
ISBN
9781643681344
9781643681351
Citation
Yuen, Man Ching, Choi, Yip Hin, Ng, Tsun-Hin, Poon, Chun-Tung & Fung, Kin Chung (2020). Development of IoT based fresh food delivery tracking system using GPS. In Tallon-Ballesteros, Antonio J. (Ed.). Fuzzy systems and data mining VI. 6th International Conference on Fuzzy Systems and Data Mining, FSDM 2020, Online (pp. 397-404). IOS Press BV.
Description
Open access
Type
Conference Paper
Abstract
Home delivery service is an essential service for online shopping. The need for reliable delivery system to ensure freshness of foods is challenging with consumers’ busy schedule and heavy traffic. An efficient fresh food delivery tracking system is designed and implemented for tracking the fresh food delivery ordered on an online shopping system. The proposed system made use of Internet of Things (IoT) technology, Global Positioning System (GPS) and a smart online shopping system. Using this GPS system, consumers are able to track their delivery and arrival of their grocery to ensure the freshness of products. To create the user-friendly access website, we have included four functions in this website: Online shopping cart, system to support various payment methods, GPS food tracking system, and members’ easily access account data system. Since the cost of this fresh food delivery tracking system is low, it is suitable for online shop of start-ups.
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