Digital Case Paper

EOI: 10.11242/viva-tech.01.04.106

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Bhakti Patil, Manish Patil, Ashwanti Pawar, Ameya Purandare, "Digital Case Paper", VIVA-IJRI Volume 1, Issue 4, Article 106, pp. 1-6, 2021. Published by Computer Engineering Department, VIVA Institute of Technology, Virar, India.


In today's world, a lot of innovation has been going on in the field of medicine and hospital management. But still waiting in the queue for case paper is everyday phenomenon. In hospital there are large patient’s data to handling such huge data is difficult some time data regarding patients is a lost too. So, to solve this problem we are developing the app which can access from anywhere and generate case paper and also print that paper using wireless printer in hospital. Our system will have face detection for direct login and case paper generating once registration of patient is done. It will automatically assign doctors available. So, it saves time and easy to use. The problem of data storage is solving by using MySQL database this store all the data for further use. Digital case paper is to be designed with user friendly interface which can beneficial to patients. Users must be able to get the information within a minute without wastage of time. The implementation of system is primarily as a means to improve the patient service. It provides the security of data and ensure data accuracy. It also minimizes manual data entry.


Hospital management, Queue, MySQL, Face detection, Digital case-paper, wireless printer.


  1. Learning OpenCV –Computer Vision with the OpenCV Library O’Reilly Publication.
  2. Learning OpenCV: Computer Vision with OpenCV Library, Kindle Edition.Gary Bradsk1 and AndrianKehlar
  3. M.A. Turk and A.P. Pentland, ?Face Recognition Using Eigenfaces?, IEEE Conf. on Computer Vision and Pattern Recognition, pp. 586-591, 1991.
  4. KyungnamKim? Face Recognition using Principle Component Analysis?
  5. Learning OpenCV: Computer Vision with the OpenCV Library 1st Edition, Kindle Edition
  6. H. Wang, Q. Wu, B. Qin and J. Domingo-Ferrer, "FRR: Fair remote retrieval of outsourced private medical records in electronic healthnetworks", Journal of Biomedical Informatics, vol. 50, pp 226-233, August 2014.
  7. J. Li, C. Liu, B. Liu, R. Mao, Y. Wang, S. Chen, J.J. Yang, H. Pan and Q. Wang, "Diversity-aware retrieval of medical records", Computers in Industry, vol. 69, pp. 81-91, May 2015.
  8. Nashwan Adnan OTHMAN, Ilhan AYDIN ?A Face Recognition Method in the Internet of Things for Security Applications in Smart Homes and Cities? in Proc.2018 6th International Istambul Smart Grids and Cities Congress anFair(ICSG).
  9. T. Ojala, M. Pietikainen and D. Harwood, ?A comparative study of texture measures with classification based on feature distributions,? Pattern Recognition vol. 29, pp. 51-59, January 1996.
  10. Raj G Anvekar, Dr.Rajeshwari M Banakar ?Design Alternatives For End User Communication In IOT Based System Model? in Proc. 2017 IEEE International Conference on Technological Innovation in ICT For Agriculture and Rural Development(TIAR 2017).
  11. Monica Chillaron, Larisa Dunai, Guillermo Peris Fajarnes, Ismael Lengua Lengua ?Face detection and recognition application for Android? in Proc. IECON2015-Yokohama November 9-12, 2015.
  12. L.A. Shanley, C. Hronek, M. Hall, E.R. Alpern, E.S. Fieldston, P.D. Hain, S.S. Shah and M.L. Macy, "Structure and Function of Observation Units in Children's Hospitals: A Mixed-Methods Study", Academic Pediatrics, vol. 15, Issue 5, pp. 518-525, September–October 2015