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
  • [41] Smart Attendance System Using Deep Learning Convolutional Neural Network
    Pooja, I
    Gaurav, J.
    Devi, C. R. Yamuna
    Aravindha, H. L.
    Sowmya, M.
    CYBER-PHYSICAL SYSTEMS AND DIGITAL TWINS, 2020, 80 : 343 - 356
  • [42] Smart Count System Based on Object Detection Using Deep Learning
    Moon, Jiwon
    Lim, Sangkyu
    Lee, Hakjun
    Yu, Seungbum
    Lee, Ki-Baek
    REMOTE SENSING, 2022, 14 (15)
  • [43] Smart Glass System Using Deep Learning for the Blind and Visually Impaired
    Mukhiddinov, Mukhriddin
    Cho, Jinsoo
    ELECTRONICS, 2021, 10 (22)
  • [44] An IoT enabled smart healthcare system using deep reinforcement learning
    Jagannath, Duraiswamy Jothinath
    Dolly, Raveena Judie
    Let, Gunamony Shine
    Peter, James Dinesh
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2022, 34 (28):
  • [45] Face Recognition Smart Attendance System using Deep Transfer Learning
    Alhanaee, Khawla
    Alhammadi, Mitha
    Almenhali, Nahla
    Shatnawi, Maad
    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS (KSE 2021), 2021, 192 : 4093 - 4102
  • [46] Designing an Expert System for Online Shopping Cart Management
    Bhargava, Deepshikha
    Mishra, Pratikshya
    Mishra, Anjali
    PROCEEDINGS 2019 AMITY INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE (AICAI), 2019, : 235 - 238
  • [47] Deep learning for a smart e-learning system
    Chanaa, Abdessamad
    El Faddouli, Nour-eddine
    2018 4TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING TECHNOLOGIES AND APPLICATIONS (CLOUDTECH), 2018,
  • [48] Deep learning for a smart e-learning system
    Chanaa, Abdessamad
    El Faddouli, Nour-eddine
    2ND INTERNATIONAL CONFERENCE ON SMART DIGITAL ENVIRONMENT (ICSDE'18), 2018, : 197 - 202
  • [49] Predicting online shopping cart abandonment with machine learning approaches
    Rausch, Theresa Maria
    Derra, Nicholas Daniel
    Wolf, Lukas
    INTERNATIONAL JOURNAL OF MARKET RESEARCH, 2022, 64 (01) : 89 - 112
  • [50] An implementation of electronic shopping cart on the Web system using component-object technology
    Uehara, S
    Mizuno, O
    Kikuno, T
    SIXTH INTERNATIONAL WORKSHOP ON OBJECT-ORIENTED REAL-TIME DEPENDABLE SYSTEMS, PROCEEDINGS, 2001, : 77 - 84