Detection and Classification of Public Security Threats in the Philippines Using Neural Networks

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  • Additional Information
    • Publication Information:
      IEEE
    • Publication Date:
      2020
    • Abstract:
      Life being put into jeopardy when in public has always been Filipinos’ concern. While there are reinforcements of laws, and common practices taught, these are no more than just band-aid solutions to the problem. With the immediate detection and classification of common public security threats through the videos fed from CCTVs, it will be an immense help to protect Filipinos. In this study, the use of pre-trained R-CNN model inception v2 alongside tools for other phases such as annotation, training, and testing will be discussed. The process through which the study attained the goal of the system will be highlighted.
    • Contents Note:
      Conference Acronym: LifeTech
    • Author Affiliations:
      De La Salle University,Department of Electronics Engineering,Manila,Philippines
      Asia Pacific College,School of Engineering,Makati City,Philippines
      De La Salle University,Department of Civil Engineering,Manila,Philippines
    • ISBN:
      978-1-7281-7063-3
      978-1-7281-7062-6
    • Relation:
      2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech)
    • Accession Number:
      10.1109/LifeTech48969.2020.1570619075
    • Rights:
      Copyright 2020, IEEE
    • AMSID:
      9080985
    • Conference Acronym:
      LifeTech
    • Date of Current Version:
      2020
    • Document Subtype:
      IEEE Conference
    • Notes:
      Conference Location: Kyoto, Japan, Japan

      Conference Start Date: 10 March 2020

      Conference End Date: 12 March 2020
    • Accession Number:
      edseee.9080985
  • Citations
    • ABNT:
      GUILLERMO, M. et al. Detection and Classification of Public Security Threats in the Philippines Using Neural Networks. 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), Life Sciences and Technologies (LifeTech), 2020 IEEE 2nd Global Conference on, [s. l.], p. 320–324, 2020. DOI 10.1109/LifeTech48969.2020.1570619075. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.9080985. Acesso em: 27 set. 2020.
    • AMA:
      Guillermo M, Tobias RR, Carlo De Jesus L, et al. Detection and Classification of Public Security Threats in the Philippines Using Neural Networks. 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), Life Sciences and Technologies (LifeTech), 2020 IEEE 2nd Global Conference on. March 2020:320-324. doi:10.1109/LifeTech48969.2020.1570619075
    • APA:
      Guillermo, M., Tobias, R. R., Carlo De Jesus, L., Billones, R. K., Sybingco, E., Dadios, E. P., & Fillone, A. (2020). Detection and Classification of Public Security Threats in the Philippines Using Neural Networks. 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), Life Sciences and Technologies (LifeTech), 2020 IEEE 2nd Global Conference On, 320–324. https://doi.org/10.1109/LifeTech48969.2020.1570619075
    • Chicago/Turabian: Author-Date:
      Guillermo, Marielet, Rogelio Ruzcko Tobias, Luigi Carlo De Jesus, Robert Kerwin Billones, Edwin Sybingco, Elmer P. Dadios, and Alexis Fillone. 2020. “Detection and Classification of Public Security Threats in the Philippines Using Neural Networks.” 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), Life Sciences and Technologies (LifeTech), 2020 IEEE 2nd Global Conference On, March, 320–24. doi:10.1109/LifeTech48969.2020.1570619075.
    • Harvard:
      Guillermo, M. et al. (2020) ‘Detection and Classification of Public Security Threats in the Philippines Using Neural Networks’, 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), Life Sciences and Technologies (LifeTech), 2020 IEEE 2nd Global Conference on, pp. 320–324. doi: 10.1109/LifeTech48969.2020.1570619075.
    • Harvard: Australian:
      Guillermo, M, Tobias, RR, Carlo De Jesus, L, Billones, RK, Sybingco, E, Dadios, EP & Fillone, A 2020, ‘Detection and Classification of Public Security Threats in the Philippines Using Neural Networks’, 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), Life Sciences and Technologies (LifeTech), 2020 IEEE 2nd Global Conference on, pp. 320–324, viewed 27 September 2020, .
    • MLA:
      Guillermo, Marielet, et al. “Detection and Classification of Public Security Threats in the Philippines Using Neural Networks.” 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), Life Sciences and Technologies (LifeTech), 2020 IEEE 2nd Global Conference On, Mar. 2020, pp. 320–324. EBSCOhost, doi:10.1109/LifeTech48969.2020.1570619075.
    • Chicago/Turabian: Humanities:
      Guillermo, Marielet, Rogelio Ruzcko Tobias, Luigi Carlo De Jesus, Robert Kerwin Billones, Edwin Sybingco, Elmer P. Dadios, and Alexis Fillone. “Detection and Classification of Public Security Threats in the Philippines Using Neural Networks.” 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), Life Sciences and Technologies (LifeTech), 2020 IEEE 2nd Global Conference On, March 1, 2020, 320–24. doi:10.1109/LifeTech48969.2020.1570619075.
    • Vancouver/ICMJE:
      Guillermo M, Tobias RR, Carlo De Jesus L, Billones RK, Sybingco E, Dadios EP, et al. Detection and Classification of Public Security Threats in the Philippines Using Neural Networks. 2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech), Life Sciences and Technologies (LifeTech), 2020 IEEE 2nd Global Conference on [Internet]. 2020 Mar 1 [cited 2020 Sep 27];320–4. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edseee&AN=edseee.9080985