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EN
The topic of this paper is a concept of a new type of a sensor intended for unmanned aerial vehicles (UAVs). Its operation is based on processing images acquired from a thermal camera operating in the long-wave infrared band (LWIR) placed underneath a vehicle’s chassis. The vehicle’s spatial displacement is determined by analyzing movement of characteristic thermal radiation points (ground, forest, buildings, etc.) in pictures acquired by the thermal camera. Magnitude and direction of displacement is obtained by processing stream of consecutive pictures with optical-flow based algorithm in real time. Radiation distribution analysis allows to calculate camera’s self-translation vector. Advantages of measuring translation based on thermal image analysis is lack of drift effect, resistance to magnetic field variations, low susceptibility to electromagnetic interference and change in weather conditions as compared to traditional inertial navigation sensors. As opposed to visible light situational awareness sensors, it offers operation in complete darkness (harsh weather nights and indoors).
EN
Human life parameters such as the frequency of heart contractions, temperature, arterial pressure and breathing frequency are one of the most important parameters used to assess the basic vital functions of the most important organs of the body. In addition to describe health status, they can be used to assess the state of human activity, its efficiency and fatigue. Traditional techniques for measuring physiological parameters require appropriate sensors connected to human body. However, attaching the sensors to a human body may be undesirable or impossible, such as in newborns or during sports training. The article presents the method of measuring the frequency of heart rate and the frequency of breathing based on the analysis of the thermographic image of the human head.
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