The diploma thesis focuses on the design of inteligent sensory network in the enviroment of administrative building. First part of thesis introduces reader to the existing and used technology in thesis, the following section describes the design, construction and implementation of modules and control application. The result of this thesis is a~working sensory network which can be managed by control application, which collects data from end-point modules. The complete solution will be tested in the SmartPEF project.

The purpose of this project was to build an automated padel ball launcher, with specific objectives set at the beginning. The launcher needed to be accurate enough to allow for repetitive practice, automated to function as a practical tool, and include remote control for ease of use. To achieve accuracy, the construction was designed to ensure each shot was performed similarly. Automation was achieved through the ball feeding sequence, launching the ball in a consistent manner each time. Remote control was possible via a WiFi module controlling both the feeding mechanism and motors. The prototype was constructed with readily available materials due to project constraints. The final prototype met all objectives and was tested to gather results. The results were positive, indicating the project was successful. Future development is possible based on these results. / Syftet med detta projekt var att bygga en automatiserad padelbollsmaskin utefter en målsätning som sattes från början. Maskinen behövde vara tillräckligt noggrann för att tillåta repetitiv träning, automatiserad för att fungera som ett praktiskt verktyg och inkludera fjärrstyrning för att vara användarvänlig. För att uppnå noggrannhet designades konstruktionen för att se till att varje skott utfördes på liknande sätt. Automatisering uppnåddes genom bollmatningssekvensen, vilket även såg till att bollen skjöts på ett konsekvent sätt varje gång. Fjärrstyrningen var möjlig via en WiFi-modul som kontrollerade både matningsmekanismen och motorerna. Prototypen byggdes med lättillgängliga material på grund av projektets begränsningar. Den slutliga prototypen uppfyllde alla mål och testades för att samla in resultat. Resultaten var positiva, vilket indikerade att projektet var framgångsrikt. Framtida utveckling är möjlig baserat på dessa resultat.

This project presents a comprehensive study on the design and implementationof an Internet of Things (IoT)-based system for monitoring and alerting salinevolumes in healthcare environments.Background: In healthcare settings, the accurate monitoring of saline volumesin Intravenous (IV) drip systems is crucial for ensuring patient safety and effectivetreatment. Traditional monitoring methods are labour-intensive and prone to human error. The IoT offers promising solutions for automating and enhancing themonitoring process.Objectives: This thesis aims to develop an IoT-based saline volume monitoring and alert system using NodeMCU, a load sensor, an amplifier, the ThingSpeakcloud platform, and the Massachusets Insitute of Technology (MIT) App Inventor.The system is designed to improve the accuracy and efficiency of saline volumemonitoring while reducing the burden on healthcare professionals.Methods: The proposal system employs a Node MicroController Unit (NodeMCU)microcontroller for data processing and communication, a load sensor for monitoring the saline volume, and a buzzer alarm and amplifier for alerting healthcareprofessionals when the saline volume reaches a critical threshold. The system connects to the ThingSpeak cloud platform for data storage and analysis, facilitatingremote monitoring and control through a custom mobile application developedusing MIT App Inventor.Results: The implementation and testing of the system showed accurate and reliable monitoring of saline volumes in real-time, with efficient alerting mechanisms.The user-friendly mobile application enabled healthcare professionals to monitormultiple IV drip systems simultaneously, receiving timely alerts when interventionwas required.Conclusions: The IoT-based saline volume monitoring and alert system demonstrates the potential to improve patient safety and healthcare efficiency. Furtherresearch and development can explore the integration of additional sensors, the refinement of the alert system, and the assessment of the system’s impact on clinicaloutcomes..

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This thesis combines two current trends - the Internet of Things and Urban Agriculture. It describes technologies for wireless sensors communication in smart homes and hardware for their implementation. Based on these technologies smart hardware for automatic plants growing is implemented and connected to cloud with remote access via iOS mobile application.