Open AccessA Study on Positioning Algorithm for the Abnormal Temperature Area of Cotton Warehouses Based on Infrared Temperature Measurement and Visible Light Fusion
Author(s) -
Xinran Zhao,
Yao Pan,
Xuxu Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1650/2/022043
Subject(s) - fusion , computer science , infrared , sensor fusion , point (geometry) , calibration , warning system , warehouse , algorithm , computer vision , artificial intelligence , mathematics , optics , geography , physics , telecommunications , statistics , archaeology , philosophy , linguistics , geometry
Aiming at the positioning problem in the fire emergency response of cotton warehouses, a positioning algorithm for the abnormal temperature area in cotton warehouses is proposed in this paper based on infrared temperature measurement and visible light fusion. This study combines image data fusion, temperature, and gas sensor data to detect the abnormal temperature area, and positions the spatial three-dimensional point through camera calibration and pose estimation, to achieve early warning and emergency response of cotton warehouses. The experiments show that this algorithm can effectively achieve the positioning of the abnormal temperature area.