@inproceedings{8309bae2add140318399875b4a612459,
title = "Conceptual machine vision design for day and night based on experiment approach",
abstract = "In human vision, eyes are not only able to identify object but also able to track the object. These characteristics are used as a reference by the researcher to compose artificial vision system. This artificial vision system can be applied to surveillance machines or automatic weapon machines. This article discusses how the vision can detect the target in day and night condition by two cameras. Image processing was used in this case and HSV (Hue-Saturation-Value) imagery method was used too for day and night pseudocolor. The result from simulations, the program can detect a position of the target in day and night condition.",
keywords = "Kalman Filter method, automatic vision machine, day vision, digital image processing, night vision",
author = "Siti Mushonnifah and Hendro Nurhadi and Bambang Pramujati",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation, ICAMIMIA 2017 ; Conference date: 12-10-2017 Through 14-10-2017",
year = "2018",
month = jun,
day = "15",
doi = "10.1109/ICAMIMIA.2017.8387605",
language = "English",
series = "Proceeding - ICAMIMIA 2017: International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "297--299",
booktitle = "Proceeding - ICAMIMIA 2017",
address = "United States",
}