The Development of Smart Shelves System with Internet of Things

Abstract

          This research designed and developed a smart-shelf system for the purpose of promoting the potential of product management. This was useful for storing technological data with the Internet of Things (IoT) that could check stock, rather than it being checked by humans. The system can check product stock on the shelf automatically. This research designed tools and developed the applications for detecting the distances between products on the shelf, by means of Ultrasonic Distance Sensor. The user can set initial values of the system in the planed application, such as the size of the shelf and the dimensions of the product. This system calculated the number of products which could be put on the shelf. The number of products remaining on the shelf will be checked by calculating the distance, based on the distance values of the detecting sensor. Then, the user can check the number of remaining products which can be put on the shelf. In the case of out-of-stock products, the system can send a message of notification to the user. The system was tested for its accuracy by checking the distances between the detecting sensor and these products. The results show that the average standard deviation (S.D.) value of 3 products was 0.2. This means that the sensor is able to present distance checking accurately, when compared with the actual distances. Moreover, the application functionality is able to connect the sensor and the data of the Internet of Things tools well. The distance value was obtained by sensor detection, which can be accurately displayed on the application.