IMAGE PROCESSING WARNA UNTUK PROSES INTERUPSI LED PADA LAMPU LALU LINTAS BERBASIS OPEN CV

Authors

  • Prihatin Oktivasari Program Studi Teknik Informatika, Konsentrasi Teknik Komputer dan Jaringan, Politeknik Negeri Jakarta
  • Erwin Ardiansyah Program Studi Teknik Informatika, Konsentrasi Teknik Komputer dan Jaringan, Politeknik Negeri Jakarta

DOI:

https://doi.org/10.31504/komunika.v6i2.1172

Keywords:

image processing, lampu lalu lintas, phyton, warna contessa

Abstract

Lampu lalu lintas merupakan alat yang digunakan untuk mengatur kendaraan bermotor pada sebuah persimpangan jalan agar tidak terjadi kemacetan dan arus kendaraan dapat berjalan dengan baik dan lancar. Kemacetan lalu lintas bisa menyebabkan pengurangan efisiensi waktu dan biaya. Kendaraan darurat seperti ambulan, pemadam kebakaran dan kendaraan polisi yang akan melintasi lampu lalu lintas juga pasti akan terhambat di perjalanan untuk melakukan pertolongan darurat ke tempat tujuan. Dalam penelitian ini, dilakukan perancangan sistem cerdas pengaturan lampu lalu lintas untuk kendaraan darurat dengan menggunakan image processing berbasis OpenCV dan phyton programming. Citra yang diolah berupa objek warna contessa. Sistem ini memiliki delay yang sangat kecil dalam pergerakan objek yang lamban, sehingga dapat bermanfaaat bagi kendaraan darurat seperti ambulan, pemadam kebakaran dan kendaraan kepolisian agar tidak terjebak kemacetan pada persimpagan traffic light. Kondisi maksimum citra warna contessa yang dapat ditangkap terbaik oleh kamera dan sistem berjalan optimal yaitu pada jarak maksimum 90 cm, intensitas cahaya 9600 lumen dengan delay untuk proses interupsi LED berubah warna hijau adalah 0 detik.

References

K.B.Neelima, Dr.T.Saravanan. "Image Detection and Count Using Open Computer Vision (Opencv)." Journal of Engineering Research and Applications Vol. 04 : 107-109. Web. September 2014

Sonia Dian Maniswari, Angga Rusdinar, Bedy Purnama. “Smart Traffic Light Menggunakan Image Processing dan Metode Fuzzy Logic”. International Journal of Advanced Research in Computer and Communication Engineering, Volume (5) Issue (9), Juni 2015.

Nidhi Dept. of Computer Applications. “Image Processing and Object Detection”; International Journal of Applied Research, Volume (1) Issue (9), 2015.

Mamata S.Kalas. "Real Time Detection and Tracking Using OpenCV" International Journal of Soft Computing and Artificial Intelligence (2014): 2321-404X. Web. May 2014.

Vijayalaxmi, K.Anjali, B.Srujana, and P. Rohith Kumar. “Object Detection and Tracking Using Image Processing”; Global Journal of Advanced Engineering Technologies, Special Issue (CTCNSF-2014).

Naveen Kumar, Pradeepa Katta,Madhuri Basa, Durga Prasad Lola, P.S.Suhasini M.S, P.Venkata Ganapathi. "Open CV Implementation of Object Recognition Using Artificial Neural Networks." International Journal of Computational Engineering Research Vol (05) Issue (02). (2015): 2250-3005. Web. Februrary 2015.

Okunade Oluwasogo Adekunle and Osunade Oluwaseyitan. “Emergency Vehicle Priority Prefernce at Multiple Wireless Network Sensors (MWNS) Intelligent Road Traffic Signal Control System”; IOSR Journal of Computer Engineering, Volume (16) Issue (4), July-August 2014.

Panth Shah and Tithi Vyas. “Interfacing of Matlab with Arduino for Object Detection Algorithm Implementation using Serial Communication”; International Journal of Engineering Research & Technology, Volume (13) Issue (10), October 2014.

Farheena Shaikh and Dr.Prof.M.B.Chandak. “An Approach Traffic Management System Using Density Calculation and Emergency Vehicle Alert”; IOSR Journal of Computer Science, 2014.

Sarika B. Kale and Prof. Gajanan P.Dhok. “Embedded System for Intelligent Ambulance and Traffic Control Management”; International Journal of Computer and Electronics Research, Volume (2) Issue (2), April 2013.

Sommervile; “Waterfall Method”; Software Engineering, Page (9), 2011

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Published

2017-11-01

Issue

Vol. 6 No. 2 (2017): KOMUNIKA

Section

Artikel

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