digiSCAN: A Supermarket Anti-Theft Scanner

Benjamin Kommey; Elvis Tamakloe

Benjamin Kommey Kwame Nkrumah University of Science and Technology
Elvis Tamakloe

Abstract

Supermarket shopping is an essential part of the livelihood of most people around the world. Consumers can acquire items essential for their daily activities. However, in an ever-evolving world with an increasing population and increasing crime rates, supermarket theft is becoming a prevalent problem with supermarket owners spending large sums of money on hiring security often with little effect. Organized Retail Crime (ORC) costs the retail industry approximately $30 billion each year, with 71.3% of retailers reporting an increase in ORC year-over-year. With the current global economic conditions, high labor costs are longer feasible. Consumers also face the issue of paying for items they did not select. Advanced camera systems, for some, may be an escape however, this approach is not feasible for all aspects of shopping and in underdeveloped countries that have technical constraints. The advent of digitization has helped improve the livelihood of consumers in Ghana. Currently, many large-scale retailers are oblivious to some of these advancements. The oblivion of the management of such retail services results in the loss of products, customer dissatisfaction and the mismanagement of untracked products by employees. To reduce theft and the mismanagement of products by employees, a smart antitheft system should be deployed in supermarkets; at the till and before the exit of supermarkets to ensure all products leaving the store are paid for and accounted for. The system consists of a deactivation and theft detection system. The product is deactivated by the store attendant at the till when the customer pays for the product. However, if a customer crosses the initial warning zone without paying, a warning sound is triggered and after the customer crosses the final warning zone, the alarm is triggered indicating an attempted theft by the customer. A log of products is also kept ensuring employees are not stealing products. This paper presents a smart way of detecting theft during supermarket shopping using Radio Frequency Identification (RFID) readers and tags, microcontroller-based control system, a database server and an Integromat.

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References

[1] Megha R. Mane, Nilam G. Amane, Sunita D. Patil and Archana L. Lakesar, “Electronic Shopping Using Barcode,” International Research Journal of Engineering and Technology, vol. 3, Issue 04, 2016, ISSN: 2395-0056.
[2] Mohammed Ghazal, Maha Yaghi, Abdalla Gad, Gasm El Bary, Marah Alhalabi, Mohammad Alkhedher and Ayman S. El-Baz, “AI-Powered Service Robotics for Independent Shopping Experiences by Elderly and Disabled People,” Applied Sciences, 2021, 11, 9007, https://doi.org/10.3390/app1199007.
[3] Chwei-Shyong Tsai, Hsin-Liang Chen, Hsien-Chu Wu, and Josh Jia-Ching Ying, “A Puzzle-Based Data Sharing Approach with Cheating Prevention Using QR Code,” Symmetry, 2021, 13, 1896, https://doi.org/10.3390/sym13101896.
[4] S. R. Patil, Ginni Chaddha, Anjali Singh and Komal Kant, “Design of Advanced Shopping Trolley based on QR Code,” International Journal of Engineering Research and Technology, Vol. 5, Issue 03, 2016, ISSN: 2278-0181.
[5] M. S. Siva Priya, Jatin Agrawal, Debayan Roy and Rajkumar Chirra, “Easy Payout, Advanced shopping, and Security in Super Market,” International Journal of Innovative Technology and Exploring Engineering, Vol. 8, Issue-12, 2019, ISSN: 2278-3075.
[6] Ademola Abdulkareem, Awosope C.O.A and Tope-Ojo A.E, “Development and Implementation of a miniature RFID system in a shopping mall environment.” International Journal of Electrical and Computer Engineering, Vol. 9, No. 2, 2019, pp. 1374-1378, ISSN: 2088-8708, doi: 10.11591/ijece.v9i2.pp1374-1378.
[7] Ghaith Khalil, Robin Doss and Morshed Chowdhury, “A New Secure RFID Anti-Counterfeiting and Anti-Theft Scheme for Merchandise,” Journal of Sensor and Actuator Networks, 2020, 9, 16, doi: 10.3390/jsan9010016.
[8] Ankush Yewatkar, Faiz Inamdar, Raj Singh, Ayushya and Amol Bandal, “Smart Cart with Automatic Billing, Product Information, Product Recommendation Using RFID and Zigbee with Anti-Theft,” 7th International Conference on Communication, Computing and Virtualization, 2016, pp. 793-800, doi: 10.1016/j.procs.2016.03.107.
[9] Yerlan Berdaliyev, and Alex Pappachen James, “RFID-Cloud smart cart system,” 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016, pp. 2346-2352, doi: 10.1109/ICACCI.2016.7732405.
[10] Amani Nasser Said Al Julandani, Ferddie Quiroz Canlas, and Sarachandran Nair, "“Do It Yourself” Product Scanning System for Supermarket Customers with Anti-Theft Feature: A Proposed Model," 2020 International Conference on Computing, Networking, Telecommunications and Engineering Sciences Applications (CoNTESA), 2020, pp. 40-44, doi: 10.1109/CoNTESA50436.2020.9302861.
[11] Ng Xin Jie and Intan Farahana Binti Kamsin, “Self-Checkout Service with RFID Technology in Supermarket,” Proceedings of the 3rd International Conference on Integrated Intelligent Computing, Communication and Security (ICIIC), Atlantis Highlights in Computer Sciences, Vol.4, pp. 495-502,2021.
[12] Hasan Al-Sakran, “Agent and Radio Frequency Identification Based Architecture for Supermarket Information System,” Journal of Computer Science 9 (6), pp. 699-707, 2013, ISSN: 1549-3636, doi: 10.3844/jcssp.2013.699.707.
[13] Mobeen Shahroz, Muhammad Faheem Mushtaq, Maqsood Ahmad, Saleem Ullah, Arif Mehmood and Gyu Sang Choi, “IoT-Based Smart Shopping Cart Using RFID Frequency Identification,” IEEE Access, vol. 8, pp. 68426-68438, 2020, doi: 10.1109/ACCESS.2020.2986681.
[14] B. Karunakara Rai, J.P. Harshitha, Radhika S. Kalagudi, B.S. Priyanka Chowdary, Palak Hora and B. Sahana, “A Cloud-Based Inventory Management System Using a Smart Trolley for Automated Billing and Theft Detection,” Springer Nature Singapore, 2019, https://doi.org/10.1007/978-981-13-3765-9_51.
[15] Rajlakshmi Badi and Bashirahamad Momin, “SCAR: Smart Cart based on ARM algorithm and RFID technology,” 2018 3rd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology (RTEICT), 2018, pp. 2387-2392, doi: 10.1109/RTEICT42901.2018.9012562.
[16] Y. Zhang, S. Jin, Y. Wu, T. Zhao, Y. Yan, Z. Li and Y. Li, “A NEW INTELLIGENT SUPERMARKET SECURITY SYSTEM,” Neural Network World 2, pp. 113-131, 2020, doi: 10.14311/NNW.2020.30.009.
[17] Santosh Mahale, Shivam Gujrathi, Pratik Bramhecha, Kalyani Bedarkar, Rohini Shinde and Yashraj Patil, “Survey on Anti-Theft Detection System,” International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET), Vol. 9, Issue-4, 2020, e-ISSN: 2319-8753.
[18] Yoji Yamato, Yoshifumi Fukumoto and Hiroki Kumazaki, “Security Camera Movie and ERP Data Matching System to Prevent Theft,” 2017, https://arxiv.org/pdf/1706.04595.
[19] Mandar Shriram Munagekar, “Smart Surveillance system for theft detection using image processing,” International Research Journal of Engineering and Technology (IRJET), Vol. 05, Issue 08, 2018, e-ISSN: 2395-0056.
[20] Prithvi Nath Saranu, G. Abirami, S. Sivakumar, M. RameshKumar, U. Arul and J. Seetha, “Theft Detection System using PIR Sensor,” 4th International Conference on Electrical Energy Systems (ICEES), pp.656-660, 2018, https://www.academia.edu/41441856/Theft_Detection_System_using_PIR_Sensor.
[21] K.M. Ramesh Kumar, R. Venkadesh, K. Vengatesh and P. Nagaraj, “Theft Detection and Prevention Based on Internet of Things,” International Journal of Innovative Research in Science, Engineering and Technology, Vol. 7, Issue 11, 2018, ISSN(Online): 2319-8753.
[22] Sundar raj M, and J.S. Reshma, “Review On Infrared Theft Security Alarm,” International Journal of Pure and Applied Mathematics, Vol. 118, No. 18, 2018, pp. 625-633, ISSN(Online): 1314-3395.
[23] Amanda Berg, “Detection and Tracking in Thermal Infrared Imagery,” PhD dissertation, Department of Electrical Engineering, Linköping University, Linköping, Sweden, 2016, ISSN: 0280-7971, Available: http://liu.diva-portal.org/smash/get/diva2:918038/COVER01.pdf
[24] Ishaan Singh Panwar, Yash Karvasra, and Harpreet Kavr Channi, “Designing of IOT Theft Notification Door,” International Journal for Scientific Research and Development, Vol. 9, Issue 7, pp. 267-274, 2021, ISSN(Online): 2321-0613.