DETEKSI API PADA VIDEO MENGGUNAKAN METODE BACKGROUND SUBTRACTION DAN SEGMENTASI WARNA PADA RUANG HSV

ANGGRAINI, YENI and Malik, Reza Firsandaya (2020) DETEKSI API PADA VIDEO MENGGUNAKAN METODE BACKGROUND SUBTRACTION DAN SEGMENTASI WARNA PADA RUANG HSV. Undergraduate thesis, Sriwijaya University.

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Abstract

Fire is one of the natural disasters that cause loss of property. objects and endanger the safety of life. The fire started from a small fire that got bigger, causing the fire to spread. This research tries to build a model to detect fire in video using an image processing approach with the method of background subtraction and color segmentation in the HSV space. The model is then tested with the composition of the error detection accuracy and the detection success accuracy of each work result. The results of the error detection research on fire detection using the proposed method with an error rate of 18.75% for each test carried out from 12 samples of the fire video dataset. In Video1 the results obtained were 80% accuracy, In Video2 the results obtained were 100% accuracy, In video3, the results obtained are 75% accuracy. on video4 the accuracy is 66.67%, on video5 an accuracy is obtained of 57.14%. on video6 the accuracy is 100%, on video7 there is an accuracy of 100%, for video 80%, the video9 obtained a detection accuracy of 80%. In video10, an accuracy of 100% is obtained. In video11, the detection accuracy is 80% and in video12, it is obtained an accuracy of 100%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Deteksi Api, Background Subtraction, HSV, Segmentasi,Video
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Users 9817 not found.
Date Deposited:	20 Jan 2021 07:06
Last Modified:	20 Jan 2021 07:06
URI:	http://repository.unsri.ac.id/id/eprint/39926

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