Abstract

Mobile robotic platforms are autonomous devices consisting of mechanical, electrical and electronic components that allow them to move on land, water or in the air. These platforms can be used in a variety of industries, including medicine, industry, research and intelligence, and military applications. The article deals with a new automated system with autonomous stabilization based on a mobile platform for measuring the thermal indicators of objects. The developed 3D model of a mobile robotic platform for measuring the thermal performance of objects with an autonomous stabilization system is presented. Attention is focused on the choice of optical devices for measuring the thermal performance of objects, namely, a night vision camera and a thermal imaging camera. A description of the day-night camera operation is given, and its application areas are analyzed. The physical principle of operation of thermal imaging cameras and their applications are described. It is established that the image quality varies depending on whether the thermal imager is active or passive. The TELEDYNE FLIR TAU 2 thermal imaging camera was chosen for the new mobile platform, which uses infrared imaging technology to detect the thermal signatures of objects. Possible errors of optical devices were analyzed: calibration error, reading error, video image delay error, other instrumental errors (from the influence of temperature, lighting, orientation in space, noise, etc.). Experimental studies of the developed mobile robotic platform for measuring the thermal performance of objects with an autonomous stabilization system were carried out, having previously calibrated it, and their results are presented. It is determined to measure the surface temperature of an object using a thermal imaging camera; it is necessary to know its emission, which is determined by the properties of the material from which the object is made. This can be done using a calibrated infrared source, making it possible to measure the temperature of objects in the image accurately.

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call