Hardware-software complex detect smoke and fire from video images
Khamdamov Rustam Khamdamovichdept. Data Processing Systems, Tashkent University of Information Technologies named after Al-Kharezmi, Tashkent, UzbekistanlineХошим Рахмановdept. Computer Engineering, Tashkent University of Information Technologies named after Al-Kharezmi, Tashkent, UzbekistanlineTimur Sakiyevdept. Software Engineering, Tashkent University of Information Technologies named after Al-Kharezmi, Tashkent, Uzbekistanline
2019 International Conference on Information Science and Communications Technologies (ICISCT)conference2019en
ABI
Abstract
This article describes the hardware-software complex for the recognition of smoke and fire from CCTV cameras. The article is conventionally divided into two parts in the first part of the article devoted to hardware devices: characteristics and advantages of the computing node of the module. The second part of the article is devoted to the software. In this paper, we used method segmentation for the HSV color space and the detection method based on the YOLOV2 (You Only Look Once) algorithm for smoke and fire recognition.