Abstract
In the present situation, shopping in malls became daily activity to the human kind. After completion of collecting the products, the customers need to wait in a long queue for billing. To show the difference in ordinary shopping and the smart shopping this system is going to propose. Instead of searching for the products in the mart and wasting lots of time at the billing counters by standing in a long queue, we are proposing a system to save the customer’s time. It also helps the customers to follow the social norms, as it is very important for the human kind in the current pandemic situation. At times people were busy and, in a hurry, people may forget to maintain social distance. In such situation an alert will be given as an Ultrasonic sensor is interfaced with in the frame work. In our proposed system, each smart cart is equipped with RFID reader, a Arduino, an LCD display, a Bluetooth module and GSM module.
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References
Anandakumar, H., Umamaheswari, K.: A bio-inspired swarm intelligence technique for social aware cognitive radio handovers. Comput. Electr. Eng. 71, 925–937 (2018). https://doi.org/10.1016/j.compeleceng.2017.09.016
Wang, Y.C., Yang, C.C.: 3S-cart: light weight interactive Sensor based cart for smart shopping in super market (2016)
Shahroz, M., Mushtaq, M.F., Ahmad, M.: IoT based smart shopping using radio frequency identification (2020)
Yatra, A.: Coronavirus: Haryana Govt orders shops and offices to remain shut on weekends except the shops selling essential goods published on TIMESNOWNEWS, August 2020
Rahmanan, A.: How Covid-19 impacts Shopping in day-to-day life – BBC, July 2020
Suryaprasad, J., Praveen Kumar, B.O., Roopa, D., Arjun, A.K.: A novel low-cost intelligent shopping cart. In: 2011 IEEE 2nd International Conference on Networked Embedded Systems for Enterprise Applications (2011)
Dhavale Shraddha, D., Dhokane Trupti, J., Shinde Priyanka, S.: IOT based intelligent trolley for shopping mall. Int. J. Eng. Dev. Res. 4, 1283–1285 (2016)
Karmouch, A., Salih-Alj, Y.: Aisle-level scanning for pervasive RFID-based shopping applications. Int. J. Eng. Dev. Res. (2013)
Saravanakumar, S., Ravichandran, K., Jeshwanthraj, R.: IOT based smart card with automatic billing for futuristic shopping experience. Int. J. Comput. Sci. Eng. (2019)
Kamble, S., Meshram, S., Thokal, R., Gakre, R.: Developing a multitasking shopping trolley based on RFID technology. Int. J. Soft Comput. Eng. (2014)
Li, R., Song, T., Capurso, N., Yu, J., Couture, J., Cheng, X.: IoT application on secure smart shopping system (2017)
Kaur, A., Garg, A., Verma, A., Bansal, A., Singh, A.: Arduino based smart cart. Int. J. Adv. Res. Comput. Eng. Technol. (IJARCET) 2(12) (2013)
Yathisha, L., Abhishek, A., Harshith, R., Darshan Koundinya, S.R., Srinidhi, K.: Automation of shopping cart to ease queue in malls by using RFID (2015)
EktaMaini, J.: Wireless intelligent billing trolley for malls. Int. J. Sci. Eng. Technol. 3(9), 1175–1178 (2014)
Vinutha, M.L.: Shopping and automated using RFID Technology. Int. J. Electron. Commun. Eng. Technol. 5(8), 132–138 (2014)
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Sherlin Solomi, V., Srujana Reddy, C., Naga Tripura, S. (2022). Smart Shopping Using Embedded Based Autocart and Android App. In: Chen, J.IZ., Tavares, J.M.R.S., Shi, F. (eds) Third International Conference on Image Processing and Capsule Networks. ICIPCN 2022. Lecture Notes in Networks and Systems, vol 514. Springer, Cham. https://doi.org/10.1007/978-3-031-12413-6_55
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