Conceptual machine vision design for day and night based on experiment approach

Siti Mushonnifah, Hendro Nurhadi*, Bambang Pramujati

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceeding - ICAMIMIA 2017
Subtitle of host publicationInternational Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages297-299
Number of pages3
ISBN (Electronic)9781538627297
DOIs
Publication statusPublished - 15 Jun 2018
Event2017 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation, ICAMIMIA 2017 - Surabaya, Indonesia
Duration: 12 Oct 201714 Oct 2017

Publication series

NameProceeding - ICAMIMIA 2017: International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation

Conference

Conference2017 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation, ICAMIMIA 2017
Country/TerritoryIndonesia
CitySurabaya
Period12/10/1714/10/17

Keywords

  • Kalman Filter method
  • automatic vision machine
  • day vision
  • digital image processing
  • night vision

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