Skip to main content
SpringerLink
Log in

Smart Food Fare Canteen: Automation of Bills and Serving

  • Conference paper
  • First Online:
Sentimental Analysis and Deep Learning

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1408))

  • 1357 Accesses

Abstract

Nowadays, technology is upgrading and advancing in multi-folded ways and dimensions. The real time application considered is the canteen bill system. In the traditional system, the user will take a static bill for the kind of food that may be needed to feed on the bill counter. This leads to many users would experience odd kind of issues such as few may waste the food because that is not tasty, few users may not consume more food because of their potentiality, and few may take more than they deserve. In such cases, in order to set right, the situation that prefers a token for the trail to check up the food is tasty with a certain 10% of fare of that specific food. Manual billing is avoided, and automatic billing is accounted for using debit cards or QR codes through authorized payment gateway apps. Each item in the canteen is assigned a certain price and a scanner and QR code for it; the user has to choose which items to eat after the trail of food items is over. This way avoids wastage of bills that protects trees indirectly and also saves the environment. This automated billing and efficient catering of quality food and its items would be the demanding in the business in the future. In this way, two sections are there in which one is trial session, and the other is real food court session. Both are separated sessions but connected.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Best restaurant billing software in 2021. https://www.softwaresuggest.com/restaurant-billing-software

  2. Ease your business with Windows POS Software. https://justbilling.in/

  3. Restaurant billing software for smarter food outlets. https://slickpos.com/features/restaurant-billing-software/

  4. Simplify restaurant operations with restaurant POS software. https://www.gofrugal.com/restaurant/restaurant-pos-software

  5. Mealey, L. (2018, October). Restaurant catering food service guide. https://www.thebalancesmb.com/restaurant-catering-events-2888392

  6. Catering service vs. restaurant catering: Which is best for you? http://brownbrotherscatering.com/catering-service-vs-restaurant-catering-which-is-best-for-you/

  7. Hannon, H. 4 Restaurant inventory management tips and best practices. https://www.restaurant365.com/blog/4-restaurant-inventory-management-tips-and-best-practices/

  8. 9 Techniques for successful restaurant inventory management. https://www.glimpsecorp.com/restaurant-inventory-management/

  9. Operations Standards Manual (Restaurant case). (2015, March). https://www.jetro.go.jp/ext_images/en/reports/survey/pdf/2015_03_biz4.pdf

  10. Restaurant training manual templates. https://www.restaurantowner.com/public/Restaurant-Training-Manual-Templates.cfm

  11. Theo Jeremiah, How to Build a Restaurant Recommendation System Using Latent Factor Collaborative Filtering. (2019, November). https://towardsdatascience.com/how-to-build-a-restaurant-recommendation-system-using-latent-factor-collaborative-filtering-ffe08dd57dca/

  12. Gomathi, R. M., Ajitha, P., Krishna, G. H. S., & Pranay, I. H. (2019, October). Restaurant recommendation system for user preference and services based on rating and amenities. In ICCIDS. https://doi.org/10.1109/ICCIDS.2019.8862048

  13. Jiang, R. (2015). A customized real time restaurant recommendation system. https://etda.libraries.psu.edu/files/final_submissions/8189

  14. Lavanya, B. M., Kumar, K. K., Kayanath, H. S., & Bai, D. P. (2020, May). A machine learning model for recommending restaurants based on user ratings. International Journal of Recent Technology and Engineering (IJRTE), 9(1). ISSN: 2277-3878.

    Google Scholar 

  15. Jeyabharathi, J., Loheswaran, K., Ramaiah, V. S., & Kumaravel, T. (2020). Restaurant recommendation system using support vector machine and Naive Bayes classifier machine learning algorithms. International Journal of Future Generation Communication and Networking, 13(4), 3710–3714.

    Google Scholar 

  16. Sawant, S., & Pai, G. Yelp food recommendation system. http://cs229.stanford.edu/proj2013/SawantPai-YelpFoodRecommendationSystem.pdf

  17. A preference-based restaurant recommendation system for individuals and groups. https://www.cs.cornell.edu/~rahmtin/Files/YelpClassProject.pdf

  18. Ramzan, B., Bajwa, I. S., Jamil, N., Amin, R. U., Ramzan, S., Mirza, F., & Sarwar, N. (2019). An intelligent data analysis for recommendation systems using machine learning. https://doi.org/10.1155/2019/5941096

  19. Joshi, S., Dubey, J. Restaurant recommendation system based on novel approach using k-means and Naïve Bayes classifiers. In AISC (Vol. 1112). https://link.springer.com/chapter/10.1007%2F978-981-15-2188-1_48

  20. Cao, F. F. (2018, May). Eat-smart: A restaurant recommendation web application using machine learning and yelp dataset. https://scholarworks.calstate.edu/downloads/nv9356056?locale=en

  21. Raju, S. H., Ramani, B. L., Warris, S. F., Kavitha, S., & Dorababu, S. (2020, October). Smart eye testing. Springer, ISCDA-2020. https://link.springer.com/chapter/10.1007/978-981-33-6176-8_19

  22. Tumuluru, P., Raju, S. H., Baba, C. H. M. H. S., Dorababu, S., & Venkateswarlu, B. ECO friendly mask guide for corona prevention eco friendly mask guide for corona prevention. In IOP conference series materials science and engineering (Vol. 981, No. 2). https://doi.org/10.1088/1757-899X/981/2/022047

  23. Baba, C. H. M. H. S., Raju, S. H., Santhi, M. V. B. T., Dorababu, S., & Waris, S. F. International currency translator using IoT for shopping. In IOP Conference series materials science and engineering (Vol. 981, No. 4). https://doi.org/10.1088/1757-899X/981/4/042014

  24. Sunanda, N., Raju, S. H., Waris, S. F., & Koulagaji, A. Smart instant charging of power banks. In IOP conference series materials science and engineering (Vol. 981, No. 2). https://doi.org/10.1088/1757-899X/981/2/022066

  25. Mothukuri, R., Raju, S. H., Dorababu, S., & Waris, S. F. Smart catcher of weighted objects. In IOP conference series materials science and engineering (Vol. 981, No. 2). https://doi.org/10.1088/1757-899X/981/2/022002

  26. Kavitha, M., Raju, S. H., Waris, S. F., & Koulagaji, A. Smart gas monitoring system for home and industries. In IOP conference series materials science and engineering (Vol. 981, No. 2). https://doi.org/10.1088/1757-899X/981/2/022003

  27. Raju, S. H., Burra, L. R., Waris, S. F., & Kavitha S. IoT as a health guide tool. In IOP conference series, materials science and engineering (Vol. 981, No. 4). https://doi.org/10.1088/1757-899X/981/4/042015

  28. Raju, S. H., Burra, L. R., Koujalagi, A., & Waris, S. F. Tourism enhancer app: User-friendliness of a map with relevant features. In IOP conference series, materials science and engineering (Vol. 981, No. 2). https://doi.org/10.1088/1757-899X/981/2/022067

  29. Kavitha, M., Srinivasulu, S., Savitri, K., Afroze, P. S., Akhil, P., Sai, V., & Asrith, S. (2019). Garbage bin monitoring and management system using GSM. International Journal of Innovative Technology and Exploring Engineering, 8(7), 2632–2636.

    Google Scholar 

  30. Kavitha, M., Anvesh, K., Kumar, P. A., & Sravani, P. (2019). IoT based home intrusion detection system. International Journal of Recent Technology and Engineering, 7(6), 694–698.

    Google Scholar 

  31. Kavitha, M., Krishna, P. V., & Saritha, V. (2019). Role of imaging modality in premature detection of bosom irregularity in internet of things and personalized healthcare systems (pp. 81–92). Springer, Singapore.

    Google Scholar 

  32. Raju, S. H., Burra, L. R., Waris, S. F., Kavitha, S., & Dorababu, S. (2021) Smart eye testing. In Advances in intelligent systems and computing, 2021, ISCDA 2020, 1312 AISC (pp. 173–181). https://doi.org/10.1007/978-981-33-6176-8_19

  33. Bhalaji, N., (2020, March). EL DAPP–An electricity meter tracking decentralized application. Journal of Electronics, 2(01), 49–71. https://doi.org/10.36548/jei.2020.1.006

  34. Dube, T., Van Eck, R., & Zuva, T. (2020, December). Review of technology adoption models and theories to measure readiness and acceptable use of technology in a business organization. Journal of Information Technology, 2(04), 207–212. https://doi.org/10.36548/jitdw.2020.4.003

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur, Andhra Pradesh, India

    Radha Mothukuri, S. Hrushikesava Raju, Vijaya Chandra Jadala & G. Subba Rao

  2. Department of CSE, Raghu Institute of Technology, Visakhapatnam, Andhra Pradesh, India

    S. Adinarayna

  3. Department of CSE, Vignan’s Foundation for Science, Technology and Research, Vadlamudi, Guntur, Andhra Pradesh, India

    Saiyed Faiayaz Waris

Authors
  1. Radha Mothukuri
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S. Hrushikesava Raju
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. S. Adinarayna
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Vijaya Chandra Jadala
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Saiyed Faiayaz Waris
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. G. Subba Rao
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Institute of Engineering, Tribhuvan University, Pulchowk Campus, Lalitpur, Nepal

    Subarna Shakya

  2. Intelligent Systems Research Centre, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  3. Songkla University, Songkhla, Thailand

    Sinchai Kamolphiwong

  4. Department of Electrical and Computer Engineering, Concordia University, Montreal, QC, Canada

    Ke-Lin Du

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mothukuri, R., Raju, S.H., Adinarayna, S., Jadala, V.C., Waris, S.F., Rao, G.S. (2022). Smart Food Fare Canteen: Automation of Bills and Serving. In: Shakya, S., Balas, V.E., Kamolphiwong, S., Du, KL. (eds) Sentimental Analysis and Deep Learning. Advances in Intelligent Systems and Computing, vol 1408. Springer, Singapore. https://doi.org/10.1007/978-981-16-5157-1_37

Download citation

Publish with us

Policies and ethics

Search

Navigation