INFOKUM
Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence

ENHANCE OF RELIABILITY OF LAND SAFETY FROM FIRE BASED ON COMPUTER VISION IN IMAGE PROCESSING

Khoirunsyah Dalimunthe (Master Of Computer System, University Of Potensi Utama)
Muhammad Sayid Amir Ali Lubis (Master Of Computer System, University Of Potensi Utama)
Rika Rosnelly (Master Of Computer System, University Of Potensi Utama)
Wanayumini (Master Of Computer System, University Of Potensi Utama)



Article Info

Publish Date
30 Aug 2022

Abstract

Monitoring inland fires can help Human vision do amazing things, such as recognizing people or objects and navigating through obstacles, which can also be done using satellite imagery or cameras with image processing methods using uncrewed aircraft (UAV). Image processing is an activity where computers require a sensor that functions like the human eye and a computer program that acts as a data processor from the sensor. This research will focus on designing and implementing the computer vision metro de thresholding method, which is used for camera image data processing to detect fire inland fires. This value will be used as color filtering for parameters to detect fire objects and also as a threshold value for segmentation image.

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Journal Info

Abbrev

infokum

Publisher

Subject

Computer Science & IT

Description

The INFOKUM a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the ...