TY - JOUR
T1 - Development of smart trolley system based on android smartphone sensors
AU - Gunawan, Alexander A.S.
AU - Stevanus, Valdi
AU - Farley, Albertus
AU - Ngarianto, Heri
AU - Budiharto, Widodo
AU - Tolle, Herman
AU - Attamimi, Muhammad
N1 - Publisher Copyright:
© 2019 The Authors. Published by Elsevier B.V.
PY - 2019
Y1 - 2019
N2 - In supermarkets, a shopping trolley or a shopping cart is the necessary tools for purchasing. Traditionally, it is used by customers inside the store to transport goods to the cashier during shopping and designed not to leave the store. It is an inconvenience and time wasted for customers who want to find the desired product in the store by using the traditional shopping trolley. Our goal is to develop an automatic moving trolley with smart shopping devices to solve the problem. Our smart shopping trolley is based on a two-wheeled mobile robot, developed in our previous research. This paper presents the hardware and software design of a smart trolley system. Our smart trolley used IOIO microcontroller and Android smartphone as sensors and controller. The trolley is modeled as a two-wheeled mobile robot. Android smartphone will control the robot by sending a signal to IOIO microcontroller paired with a robot's actuator and monitor the situation using the smartphone camera. Furthermore, we exploited the smartphone compass for robot navigation. This system is also equipped with the indoor positioning system to detect user position using Navisens which based on gyroscope and accelerometer in the smartphone. Finally, the results of the testing on robot navigation are presented. The result is our smart trolley system based on Navisens framework can move and show its location to the user.
AB - In supermarkets, a shopping trolley or a shopping cart is the necessary tools for purchasing. Traditionally, it is used by customers inside the store to transport goods to the cashier during shopping and designed not to leave the store. It is an inconvenience and time wasted for customers who want to find the desired product in the store by using the traditional shopping trolley. Our goal is to develop an automatic moving trolley with smart shopping devices to solve the problem. Our smart shopping trolley is based on a two-wheeled mobile robot, developed in our previous research. This paper presents the hardware and software design of a smart trolley system. Our smart trolley used IOIO microcontroller and Android smartphone as sensors and controller. The trolley is modeled as a two-wheeled mobile robot. Android smartphone will control the robot by sending a signal to IOIO microcontroller paired with a robot's actuator and monitor the situation using the smartphone camera. Furthermore, we exploited the smartphone compass for robot navigation. This system is also equipped with the indoor positioning system to detect user position using Navisens which based on gyroscope and accelerometer in the smartphone. Finally, the results of the testing on robot navigation are presented. The result is our smart trolley system based on Navisens framework can move and show its location to the user.
KW - Android
KW - IOIO
KW - Indoor Positioning System
KW - Mobile Robot
KW - Navisens
KW - Robot Navigation
UR - http://www.scopus.com/inward/record.url?scp=85073101718&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2019.08.225
DO - 10.1016/j.procs.2019.08.225
M3 - Conference article
AN - SCOPUS:85073101718
SN - 1877-0509
VL - 157
SP - 629
EP - 637
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 4th International Conference on Computer Science and Computational Intelligence, ICCSCI 2019
Y2 - 12 September 2019 through 13 September 2019
ER -