Implementasi Digital Signage Menggunakan Raspberry Pi

Alvin Nathaniel Santoso(1*), Silvia Rostianingsih(2), Justinus Andjarwirawan(3),


(1) Program Studi Teknik Informatika
(2) Program Studi Teknik Informatika
(3) Program Studi Teknik Informatika
(*) Corresponding Author

Abstract


Digital Signage is a form of information delivery through electronic display media (dynamic). So far, digital signage does not provide features next, previous, like and dislike. So people can not give feedback or have to wait for information to read. In today's digital signage placement we can not tell if many people are reading digital signage.

To answer the problem, designed digital signage that gives the feature next, previous, like and dislike. By utilizing computer raspberry pi and camera we can know if many see digital signage. This can allow helping to place digital signage in a crowded place and many people are watching and reading. So that the spread of information can spread to the fullest.

This application uses open cv as a library and uses the haar cascade method. This application can not detect people 100% due to several factors such as non-bright light, other obstructing objects, faces that do not look full to the camera or digital signage. If the same person keeps reading when the camera takes a picture the person will still be counted.

Keywords


Digital signage; Raspberry Pi; Open CV; Haar Cascade

Full Text:

PDF

References


Alatas, H. 2013. Responsive web design dengan PHP & Bootstrap.

Panuntun, R. 2014. Perancangan Papan Informasi Digital Berbasis Web pada Raspberry pi. Retrived November 23, 2017. From https://media.neliti.com/media/publications/169200-ID-perancangan-papan-informasi-digital-berb.pdf

Panuntun,R. Rochim, A.F. dan Martono, K.T. 2015. Perancangan Papan Informasi Digital Berbasis Web Pada Raspberry pi. Retrived November 23, 2017. From http://docplayer.info/51832566-Perancangan-papan-informasi-digital-berbasis-web-pada-raspberry-pi.html Yogyakarta. Panti Sosial Tresna Werdha di Kabupaten Magelang Dengan Pendekatan Konsep Home, Semarang: Universitas Negeri Semarang, 2.

Sidik, B. 2003. MySQL. Bandung: Informatika Bandung.

OpenCV. 2017. Retrieved January 3, 2019 from https://opencv.org/

Phython. 2017. Memulai Python. Retrieved January 3, 2019, from http://www.belajarpython.com/

Phyton. 2014. Retrieved 6 June 2018, from https://www.jurnalweb.com/daftar-website-untuk-belajar-python/

Raspberry Pi. 2017. Retrieved January 3, 2019, from https://www.raspberrypi.org/


Refbacks

  • There are currently no refbacks.


Jurnal telah terindeks oleh :