In this study, we present the results of measuring the performance of selected Peltier cells such as thermoelectric Peltier cooler modules (TEC), thermoelectric micro-Peltier cooler modules (TES), and thermoelectric Seebeck generator modules (TEG). The achieved results are presented in the form of graphs of powering system output voltage or power efficiency functions of the load impedance. Moreover, a technical solution is also presented that consists of designing a water consumption power supply system, using a renewable energy source in the form of a Peltier cell. The developed measuring system does not require additional batteries or an external power source. The energy needed to power the system was obtained from the temperature difference between two sides of a thermoelectric cell, caused by the measured medium which was flowing in a copper water pipe. All achieved results were investigated for the temperature difference from 1 to 10 K in relation to the ambient temperature.

This article deals with the design and implementation of a prototype of an efficient Low-Cost, Low-Power, Low Complexity–hereinafter (L-CPC) an image recognition system for person detection. The developed and presented methods for processing, analyzing and recognition are designed exactly for inbuilt devices (e.g., motion sensor, identification of property and other specific applications), which will comply with the requirements of intelligent building technologies. The paper describes detection methods using a static background, where, during the search for people, the background image field being compared does not change, and a dynamic background, where the background image field is continually adjusted or complemented by objects merging into the background. The results are compared with the output of the Horn-Schunck algorithm applied using the principle of optical flow. The possible objects detected are subsequently stored and evaluated in the actual algorithm described. The detection results, using the change detection methods, are then evaluated using the Saaty method in order to determine the most successful configuration of the entire detection system. Each of the configurations used was also tested on a video sequence divided into a total of 12 story sections, in which the normal activities of people inside the intelligent building were simulated.

This study focused on the design of the power supply and the overall control structure of the electronic system, which is charged only with energy from the environment. It describes the basic finding of all the necessary information for the design and implementation with the measurement and evaluation of characteristic parameters. The paper describes the individual possibilities of obtaining energy from the surroundings with the selected energy from the heat of the pipeline. There are also various arrangements of possible elements mentioned in order to ensure the optimal solution of the whole system. Furthermore, a basic evaluation of the comparison of a possible workable solution is made.

Non-contact laser triangulation is widely used for high-precision measurement and inspection across diverse industrial applications. Although these systems offer speed, accuracy, and non-invasiveness, their reliability is highly sensitive to multiple influencing factors. These include surface characteristics, material transparency, environmental conditions, and measurement configurations such as roughness, illumination, and incidence angle. This study systematically examines the impact of these factors on measurement reliability through repeated experiments conducted in a highly configurable test environment. The results identify key sources of variability and provide practical recommendations for selecting suitable measurement configurations under different operational conditions. By applying these insights, engineers and practitioners can optimize laser triangulation systems for enhanced reliability in demanding real-world applications.