Use of an Infrared Thermometer with Laser Targeting in Morphological Scene Change Detection for Fire Detection

7th Sensors & their Applications

Tickle, Andrew J.^1 ; Singh, Harjap^1 ; Grindley, Josef E.^1

Department of Aviation, Aerospace, Electrical and Electronic Engineering, Faculty of Computing and Engineering, Coventry University, Priory Street, Coventry, United Kingdom^1

关键词: Autonomous Mobile Robot;    Fire detection;    Infrared thermometers;    Robust technique;    Scene change detection;    Security application;    Security patrols;    Threshold setting;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/450/1/012054/pdf
DOI  :  10.1088/1742-6596/450/1/012054

来源: IOP

【 摘 要 】

Morphological Scene Change Detection (MSCD) is a process typically tasked at detecting relevant changes in a guarded environment for security applications. This can be implemented on a Field Programmable Gate Array (FPGA) by a combination of binary differences based around exclusive-OR (XOR) gates, mathematical morphology and a crucial threshold setting. This is a robust technique and can be applied many areas from leak detection to movement tracking, and further augmented to perform additional functions such as watermarking and facial detection. Fire is a severe problem, and in areas where traditional fire alarm systems are not installed or feasible, it may not be detected until it is too late. Shown here is a way of adapting the traditional Morphological Scene Change Detector (MSCD) with a temperature sensor so if both the temperature sensor and scene change detector are triggered, there is a high likelihood of fire present. Such a system would allow integration into autonomous mobile robots so that not only security patrols could be undertaken, but also fire detection.