This article discusses issues related to the concept of the Internet of Things and its application to the development of the Smart City. Smart City or "Smart City" is a new concept for the introduction of technologies (information and communication) to manage the life of the modern city. Existing technologies for long-distance data transmission in the Internet of Things are analyzed. Based on the calculations, the justification of the efficiency of LORA technology is substantiated, the energy potential of the communication line for LORA technology is given, the capacity of the LoRa network is determined. The network architecture has the best relationship between increasing the battery life of IoT devices and providing communication range. The protocol operates in a non-licensed range, and this is its uniqueness in cost and speed of implementation. Based on the study of the experience of implementing the protocol in the city of Lviv, the advantages and problems of implementation were identified. The possibility of using the technology in large cities was assessed. Software has been developed that allows the user to check that everything in his house is in order and that there are no gas leaks, water leaks and no movement in the house. The practical use of IoT in the "Smart City", the use of LoRaWAN technology, the principle of the network are shown. The experience of using the LoRaWAN protocol in Ukraine has been studied and analyzed. The experience of cities on the introduction of Internet of Things technologies in the housing system is considered.

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This article is devoted to highlighting the real practical capabilities of UAV thermal imaging cameras, which allow you to effectively and safely identify potentially dangerous objects that may threaten the object of information activities, or the safety of citizens or critical infrastructure of Ukraine. Based on many years of flight experience and training of specialists for private and public institutions, it was decided to compare the quality characteristics and capabilities of detection, recognition and identification of objects using modern unmanned vehicles. To ensure public safety and control of the territory, there are models with multiple optical zoom, which from a distance of 500 m allow to recognize the license plate of the car, or versions with thermal imager, which in night can help see the car, the temperature difference against other cars, and the fact that a person comes out of it. Test flights were performed at altitudes from 15 to 100 m, in the open, without the presence of bushes, trees or obstacles. Depending on the camera model and weather conditions, the figures obtained may differ significantly. The main advantages and differences in the quality of thermal imaging cameras for UAVs are described. The quality of the obtained image is demonstrated on real examples and under the same conditions. A number of requirements have been developed for shooting a quadcopter with thermal imagers of objects such as a car and a person from different heights, according to Johnson's criteria, and a work plan has been developed for further research to prepare and provide effective recommendations for pilots using this technique territories of objects of information activity and during performance of service in air reconnaissance units of law enforcement agencies of Ukraine.

For this paper, a noise generator based on the ADF435x board was developed and a spectrum analyzer based on Pololu Wixel with OLED. A simple Unmanned Aerial Vehicle (UAV) DJI Tello was used as a test bench, which operates in the 2.4 GHz frequency range. The problem of cooling the stationary UAV was constructively solved during the creation of the experimental model. The study results show that the influence of an external noise generator can lead to significant image distortions, which can lead to piloting errors. And after the limit value of 7.33%, the video signal transmission is stopped, and the control signals may be partially lost.