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Prasetya, Kusno
Universitas Pelita Harapan
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : IICS

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Implementation of Tensorflow in the CCTV-Based People Counter Application at PT Matahari Department Store, Tbk Kusno Prasetya; Arnold Aribowo; Alfa Satyaputra; Jocelyn Olivia
IAIC International Conference Series Vol. 3 No. 1 (2020): SEMNASTIK 2020
Publisher : IAIC Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/conferenceseries.v3i1.380

Abstract

Counting the number of visitors (people counter) is an activity carried out in many retail stores. This information, although very simple and basic, can be used as one of the main bases for making decisions. In the past, PT Matahari Department Store, Tbk (MDS) has calculated the number of visitors manually with an accuracy of around 90%. The purpose of this research is to design an automated people counter system using the existing CCTV video networks in MDS stores. The research methodology used is data collection methods in the form of literature studies and interviews, and systems development methods in the form of prototyping. The system uses Tensorflow to recognize visitors who enter and leave the store. This system is a prototype and is used as a proof of concept for MDS to make decisions regarding the application of appropriate technology in carrying out the people counter process along with the things that need to be prepared if this system is to be implemented thoroughly in all MDS stores in Indonesia.
Co-Authors Arnold Aribowo Haryani, Calandra Alencia Hery Hery Hery Hery Hery Irene Eka Sri Saraswati Jocelyn Olivia Justin A. Haratua Kristina G. Simanjuntak Laurentia Anggun P Mayumi Utama Putra, Alfa Satya Suryasari Suryasari Widjaja, Andree E. ‪Alfa Satya Putra