An Iot Based Human Deduction System in Queueing Sector

  • Authors

    • Mrs. W.Ancy Breen
    • Mrs. S. Shanmuga Priya
    • P Janani
    • Rami Reddy Likitha
    2018-06-08
    https://doi.org/10.14419/ijet.v7i2.33.18120
  • Convolution Neural Networks (CNN), Global Positioning System (GSM), Internet of Things (IOT), Liquid Crystal Display (LCD), Sensors

  • The new time of web and Internet of Things (IOT) worldview is being empowered by the plan of different gadgets like RFIDs, sensors, and so forth. This prompts a shrewd city. A noteworthy issue in reality is the lining framework which is available in every one of the areas. A run of the mill case is the managing an account area. In the current framework, token framework is utilized to discover the general population tally in managing an account framework. The human conclusion should be possible by utilizing picture handling which is connected in android application through Internet of Things (IOT) utilizing which others can choose whether to hold up in line or not. It can likewise be utilized to discover to what extent it takes to finish an assignment. It is fundamentally utilized as a part of lessen time utilization. It can likewise utilized for security purposes like on the off chance that anybody is stuck in bank the administrator gets naturally an alarm message showing the human nearness. From the present area the customer can choose whether to go to bank or not from our present circumstance. It also provides security alarms, crisis messages to the directors through flame, vibrating sensor. A programmed esteem is opened if there should be an occurrence of crisis to control fire. Uniquely, it provides centre on human derivation as a key empowering innovation.

     

     

  • References

    1. [1] “Survey Paper on Internet of Things: IoT†Suraj Choudhari, Tejas Rasal , Shubham Suryawanshi , Mayur Mane, Prof. Satish Yedge International Journal of Engineering Science and Computing, Volume 7 Issue No.4 April 2017

      [2] “Crowd Event Detection on Optical Flow Manifoldsâ€, Aravinda S. Rao, Student Member, IEEE, JayavardhanaGubbi, Senior Member, IEEE, SlavenMarusic, and MarimuthuPalaniswami, Fellow, IEEE.

      [3] “Smart Queue Management System Using GSM Technology†Arun R, Priyesh, P.P Advance in Electronic and Electric Engineering. ISSN 2231-1297, Volume 3, Number 8 (2013), pp. 941-950© Research India Publications

      [4] “Counting people in the crowd using a generic head detectorâ€, Venkatesh Bala Subburaman, Adrien Descamps, Cyril Carincotte Image Department, Multitelabsl, 7000 Mons, Belgium.

      [5] “Multiple Human Tracking in High-Density Crowdsâ€,Irshad Ali and Matthew N. Dailey, Computer Science and Information Management, Asian Institute of Technology,Bangkok, Thailand.

      [6] “Human Crowd Detection for Drone Flight Safety Using Convolutional Neural Networksâ€, Maria Tzelepi and Anastasios, Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece.

      [7] “Laser-based detection and tracking of multiple people in crowds†Jinshi Cui, HongbinZha, Huijing Zhao, RyosukeShibasaki.

      [8] “CrowdWatch: Enabling In-Network Crowd-sourcingâ€,RobinKravets, HilfiAlkaff, Andrew Campbell, Karrie Karahalios, KlaraNahrstedt, University of Illinois and Dartmouth College.

      [9]“UAV-Based IoTPlatform:A Crowd Surveillance Use Caseâ€,NaserHosseinMotlagh, MiloudBagaa, and TarikTaleb.

      [10] “An IoT Smart Queue Management System with Real-Time Queue Trackingâ€,2015 Fifth International Conference on e-Learning Mohammed Ghazal, Rania Hamouda, Samr Ali Electr. & Comput. Eng. Dept., Abu Dhabi Univ., Abu Dhabi, United Arab Emirates

      [11] “IoT Based Solution to Reduce Queue in the Banking Sectorâ€, Anbuselvan. J, Citharthan. D, Varatharaj M, Department of Electrical and Electronic Engineering, Christ the King Engineering College, Anna University.

      [12] M. Mark Davis and J. Heineken, “Understanding the roles of the customer and the operation for better queue management, "International Journal of Operations and ProductionManagement, vol. 14, no. 5, pp. 21–34, 1994. [Online].

      [13] “An Intelligent Fire Detection and Mitigation System Safe from Fire (SFF)†Md Iftekharul Mobin, Md Abid-Ar-Rafi, Md Neamul Islam, and Md Rifat Hasan
      International Journal of Computer Applications (0975 - 8887) Volume 133 - No.6, January 2016

      [14] Reshma Shinde, Ritika Pardeshi, Archana Vishwakarma, Nayan Barhate “Need for Wireless Fire Detection Systems using IOT†International Research Journal of Engineering and Technology (IRJET), Volume: 04 Issue: 01 Jan 2017

      [15] Poonam B. Patil, Rupali R. Patil, Swati V.Patil , Avadhoot R.Telepatil,†Automation System Using Android and Arduino Boardâ€, International Journal of Innovative Research in Science, Engineering and Technology (An ISO 3297: 2007 Certified Organization) Vol. 5, Issue 4, April 2016

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  • How to Cite

    W.Ancy Breen, M., S. Shanmuga Priya, M., Janani, P., & Reddy Likitha, R. (2018). An Iot Based Human Deduction System in Queueing Sector. International Journal of Engineering & Technology, 7(2.33), 1284-1287. https://doi.org/10.14419/ijet.v7i2.33.18120