• DocumentCode
    715741
  • Title

    SmartEvacTrak: A people counting and coarse-level localization solution for efficient evacuation of large buildings

  • Author

    Ahmed, Nasimuddim ; Ghose, Avik ; Agrawal, Amit K. ; Bhaumik, Chirabrata ; Chandel, Vivek ; Kumar, Abhinav

  • Author_Institution
    Innovation Labs., Tata Consultancy Services Ltd., Kolkata, India
  • fYear
    2015
  • fDate
    23-27 March 2015
  • Firstpage
    372
  • Lastpage
    377
  • Abstract
    Efficient evacuation of large buildings which seat more than twenty thousand people is a major challenge for building management authorities. Although many enterprise buildings have access control to count those entering various areas, such controls need to be switched off at times of emergency to avoid people getting trapped at a particular location. Hence, counting people during evacuation remains largely manual and error prone. Also, last known location based on access control from business management systems can be erroneous due to issues like tail gating. Accurate people counters like Radio Frequency Identification (RFID) often prove costly in large deployments. In this paper we present “SmartEvacTrak”, a low-cost evacuation system which can count people entering and exiting with over 98% accuracy and can also localize people at a coarse level with around 97% accuracy, from results obtained from an evacuation experiment performed on a set of 350+ people randomly exiting a building.
  • Keywords
    access control; building management systems; indoor navigation; radiofrequency identification; safety systems; RFID; SmartEvacTrak; access control; building management authorities; business management systems; coarse-level localization; large buildings evacuation; people counting; radio frequency identification; Accuracy; Gravity; Logic gates; Magnetometers; Sensors; Servers; Smart phones;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communication Workshops (PerCom Workshops), 2015 IEEE International Conference on
  • Conference_Location
    St. Louis, MO
  • Type

    conf

  • DOI
    10.1109/PERCOMW.2015.7134066
  • Filename
    7134066