Прегледај по Аутор "Perakovic, Dragan"
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- СтавкаA Model for Working Environment Monitoring in Smart Manufacturing(MDPI, 2021) Dobrilovic, Dalibor; Brtka, Vladimir; Stojanov, Zeljko; Jotanovic, Gordana; Perakovic, Dragan; Jausevac, GoranThe growing application of smart manufacturing systems and the expansion of the Industry 4.0 model have created a need for new teaching platforms for education, rapid application development, and testing. This research addresses this need with a proposal for a model of working environment monitoring in smart manufacturing, based on emerging wireless sensor technologies and the message queuing telemetry transport (MQTT) protocol. In accordance with the proposed model, a testing platform was developed. The testing platform was built on open-source hardware and software components. The testing platform was used for the validation of the model within the presented experimental environment. The results showed that the proposed model could be developed by mainly using open-source components, which can then be used to simulate different scenarios, applications, and target systems. Furthermore, the presented stable and functional platform proved to be applicable in the process of rapid prototyping, and software development for the targeted systems, as well as for student teaching as part of the engineering education process.
- СтавкаA Model of UAV-BasedWaste Monitoring System for Urban Areas(Springer, 2022) Dobrilovic, Dalibor; Jotanovic, Gordana; Stjepanovic, Aleksandar; Jausevac, Goran; Perakovic, DraganThis paper presents an approach in using unmanned aerial vehicles (UAVs) with remote imaging for urban waste monitoring. The system is designed to monitor green areas, public trash cans, and unregulated landfills and to detect possible violations of garbage disposal rules. Public green urban areas, such as parks, green surfaces, sport terrains, and bathing areas, are gathering places for people and therefore prone to unregulated waste disposal. The proposed solution describes the real-time monitoring of the area using drones and the detection of irregularities in a garbage disposal. The cameras mounted on drones are used to take images of public targeted areas at pre-mapped points. Visual data collected by supervisor drones are used for further processing and notification of authorized personnel and institutions.