Smart Shopping and Cart Billing System using Deep Learning

被引:0
作者
Ramkumar, S. [1 ]
Saravanan, R. [1 ]
Venusamy, Kanagaraj [2 ]
Jabbar, Rani [3 ]
Jeevitha, N. [4 ]
机构
[1] Rajalakshmi Engn Coll, Dept Robot & Automat, Chennai, Tamil Nadu, India
[2] Rajalakshmi Engn Coll, Dept Mechatron Engn, Chennai, Tamil Nadu, India
[3] Bahrain Polytech, EDICT Dept, Elect Engn Program, Isa Town, Bahrain
[4] Roever Engn Coll, Dept Elect & Elect Engn, Perambalur, India
来源
2024 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT CYBER PHYSICAL SYSTEMS AND INTERNET OF THINGS, ICOICI 2024 | 2024年
关键词
Smart Shopping; Cart billing system; Computer vision; Deep learning; Automation;
D O I
10.1109/ICOICI62503.2024.10696372
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
There are many problems faced by people who stand for hours at billing counter after shopping, even though crowds are avoided everywhere, shopping mall billing queue isn't reducing since ages. Since the world relies on automation today, everyone has to automate processes which consumes time, money and efforts wherever possible. The technique related with the use of Raspberry Pi, LCD display and Webcam helps the people to bill the groceries within the shopping cart. It reduces consumption of time and their energy can be conserved which can't happen when they stand in a queue for billing process. User have to scan the object in front of webcam and LCD display allows them to add purchased items along with their price and quantity. They can also remove the product from the cart and it will be automatically removed. At the end of process, payment can be made online using a QR code or UPI. The Bill will be generated to their respective mail or it will be sent as SMS. User have to register or Log in when they start shopping. Automatic detection is possible without any inspection behind. The model is much portable and does not face any problem in its operation. When compared with the existing methods the processor, display along with its webcam accuracyis much better, it does not require complete continuous guidance and maintenance upon its usage. The need to push the cart has been eliminated as the cart can move along/follow the user autonomously.
引用
收藏
页码:601 / 605
页数:5
相关论文
共 50 条
[21]   RFID-Cloud Smart Cart System [J].
Berdaliyev, Yerlan ;
James, Alex Pappachen .
2016 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI), 2016, :2346-2352
[22]   Smart Framework of Electricity Billing system for Conservation of energy. (Using IOT and Automation) [J].
Patil, Sunita ;
Patil, Sayali ;
Pingale, Rutuja ;
Shinde, Shweta ;
Saurab .
2019 5TH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION, CONTROL AND AUTOMATION (ICCUBEA), 2019,
[23]   A Smart Fire Detector IoT System with Extinguisher Class Recommendation Using Deep Learning [J].
Khan, Tareq .
IOT, 2023, 4 (04) :558-581
[24]   Automated smart artificial intelligence-based proctoring system using deep learning [J].
Verma, Puru ;
Malhotra, Neil ;
Suri, Ram ;
Kumar, Rajesh .
SOFT COMPUTING, 2024, 28 (04) :3479-3489
[25]   Automated smart artificial intelligence-based proctoring system using deep learning [J].
Puru Verma ;
Neil Malhotra ;
Ram Suri ;
Rajesh Kumar .
Soft Computing, 2024, 28 :3479-3489
[26]   An Intelligent Shopping Cart with Automatic Product Detection and Secure Payment System [J].
Subudhi, Sudipta Ranjan ;
Ponnalagu, R. N. .
2019 IEEE 16TH INDIA COUNCIL INTERNATIONAL CONFERENCE (IEEE INDICON 2019), 2019,
[27]   Smart attendance using deep learning and computer vision [J].
Seelam, Vivek ;
Penugonda, Akhil Kumar ;
Kalyan, B. Pavan ;
Priya, M. Bindu ;
Prakash, M. Durga .
MATERIALS TODAY-PROCEEDINGS, 2021, 46 :4091-4094
[28]   IoT Applications on Secure Smart Shopping System [J].
Li, Ruinian ;
Song, Tianyi ;
Capurso, Nicholas ;
Yu, Jiguo ;
Couture, Jason ;
Cheng, Xiuzhen .
IEEE INTERNET OF THINGS JOURNAL, 2017, 4 (06) :1945-1954
[29]   Categorization of Integumentary System Disorders using Deep Learning [J].
Asish, Madiraju. Sai Ram ;
Sai, Jakka. Mithil ;
Aishwarya, R. ;
Yogitha, R. .
2022 6TH INTERNATIONAL CONFERENCE ON TRENDS IN ELECTRONICS AND INFORMATICS, ICOEI 2022, 2020, :1226-1231
[30]   Prediction of cart abandonment using imbalanced clickstream data in online shopping [J].
Waldmann, Fabian ;
Napoles, Gonzalo ;
Salgueiro, Yamisleydi .
ELECTRONIC COMMERCE RESEARCH, 2025,