The Internet of Things is a constantly developing field. With advancements of algorithms for object detection and classification for images and videos, the possibilities of what can be made with small and cost efficient edge-devices are increasing. This work presents how camera traps and deep learning can be utilized for surveillance in remote environments, such as animal sanctuaries in the African Savannah. The camera traps connect to a smart surveillance network where images and sensor-data are analysed. The analysis can then be used to produce valuable information, such as the location of endangered animals or unauthorized humans, to park rangers working to protect the wildlife in these animal sanctuaries. Different motion detection algorithms are tested and evaluated based on related research within the subject. The work made in this thesis builds upon two previous theses made within Project Ngulia. The implemented surveillance system in this project consists of camera sensors, a database, a REST API, a classification service, a FTP-server and a web-dashboard for displaying sensor data and resulting images. A contribution of this work is an end-to-end smart surveillance system that can use different camera sources to produce valuable information to stakeholders. The camera software developed in this work is targeting the ESP32 based M5Stack Timer Camera and runs a motion detection algorithm based on Self-Organizing Maps. This improves the selection of data that is fed to the image classifier on the server. This thesis also contributes with an algorithm for doing iterative image classifications that handles the issues of objects taking up small parts of an image, making them harder to classify correctly.

Behovet för kraftplattor idag växer inom idrotts- och sportsammanhang såväl som inom medicinska sektorn. Problemet med majoriteten av kraftplattorna på marknaden idag är att de är dyra, samt stora och tunga. På Kungliga tekniska högskolans skola för medicinteknik och hälsosystem utvecklades en kraftplatteprototyp med Wii Balance Board i hopp om att vara billigare och kunna användas i medicinskt, terapeutiskt och idrottssyfte. Enligt konstruktören och uppdragsgivaren finns det ett behov att göra om denna prototyp genom att undersöka möjligheten till att använda komponenter som är billiga, tillgängliga för allmänheten men samtidigt är noggrann och pålitlig i mätningarna. I detta arbete undersöks möjligheterna samt konstrueras två prototyper för jämförelse och analys för att säkerställa pålitlighet och noggrannhet.  Två kraftplatteprototyper utvecklades, ena prototypen använde en HX711 som AD- omvandlare mellan lastcellerna på Wii Balance Boarden och ESP32 mikrokontrollern och den andra en AD7124-8 som AD-omvandlare mellan lastcellerna och ESP32 mikrokontrollern. Lastcellerna kopplades till dessa AD-omvandlare som sedan kopplades till en ESP32 mikrokontroller som tog emot datat och presenterade det i Arduino IDE samt i applikationen Blynk. Resultatet av arbetet visade att båda prototyperna är pålitliga och noggranna i viktmätningarna vid låga samplingsfrekvenser, men att AD7124-8 är betydligt mycket mer lämplig i idrott och medicinska syften på grund av dess höga samplingsfrekvens samt filtreringsalternativ för brus då det i dessa sammanhang är viktigt att kunna mäta snabba kraftförändringar. / The need for force plates is increasing today in the sports and medicine industry. The challenges with force plates are the price point and the immobility of them, they are often big and heavy. A force plate prototype with a Wii Balance Board was developed at Royal Institute of Technology’s school for biomedical engineering and health systems with the hope of achieving a cheaper solution that could be used in medical research and the sports industry. According to the constructor of the force plate prototype, there is a need to redo this prototype by doing research of using cheaper and more readily available components but at the same time be precise and trustworthy in measurements. The possibilities are evaluated in this work and two prototypes are constructed.  Two force plate prototypes were constructed, one of them used a HX711 AD-converter between the load cells of the Wii Balance Board and the ESP32 microcontroller and the other prototype used a AD7124-8. The load cells connected to the AD-converters and then to the ESP32 which showed the output values in the serial monitor of Arduino IDE and in the Blynk app. The results of the tests conducted showed that both prototypes provided a reliable and precise measurement of weight at low sample rates. But that the AD7124-8 was considerably more suitable for medicine research and sports research due to its capability to sample at high frequencies and noise filtering options, which is crucial when wanting to detect rapid changes in force.

The thesis deals with the design and creation of a weather station suitable for gardeners. The created device is able to measure temperature, pressure, humidity, amount of precipitation, wind speed and direction, UV index and also temperature and soil moisture at several depths. The weather station is powered by a battery with auxiliary charging from a photovoltaic panel. The thesis is divided into several parts. The theoretical part describes the individual physical principles of measurement of the considered physical quantities. Subsequently, a comparison of available sensors is made and then a final selection is made. The third part deals with the design and implementation of the hardware circuitry including the creation of the PCB. In this section, the holders of each sensor are also designed for printing on a 3D printer, which are then printed. The fourth section deals with software design issues, which is described in more detail. Finally, the whole weather station is assembled, wired and the functionality of all components is verified by sending the measured data to Thingspeak.

The topic of this thesis is the design and realization of a modular Data concentrator for various types of measurements in diverse conditions. The device conception, basic principles, design and functionality are described herein. Also, the lightweight protocol design for radio communication, standardized XML format for data storage and cloud usage are described. The electrical design of the device as well as the design of the printed circuit board was made using the Eagle Autodesk electronic design automation software (Eagle Autodesk EDA). The control software written in C/C++ for a target microcontroller (ESP32-WROOM-32) is based on a FreeRTOS platform and ESP-IDF framework. An IDE for managing this software is Visual Studio Code with PlatformIO extension. Selected and used Cloud Platform is ThingSpeak from Mathworks, which uses certain components from Matlab platform.

Cieľom tejto práce je navrhnúť, zhotoviť a implementovať vlastný systém pre zachytávanie pohybu založený na inerciálnych meracích jednotkách. V rámci budovania teoretického základu bolo preskúmaných viacero metód, avšak primárne bola pozornosť venovaná samotnému inerciálnemu snímanu - jeho kladom a nedostatkom, kľúčovým vlastnostiam a jednotlivým komponentom potrebným pre zostrojenie systému na jeho báze. Tento úvodný zber informácií je nasledovaný fázami návrhu, zhotovenia a zhodnotenia, ktoré sa zaoberajú procesom vývoja a testovania daného riešenia. Hlavným prínosom realizácie systému je zostrojenie zariadení pre snímanie pohybu - jedná sa o malé, ľahké, batériovo napájané zariadenia, ktoré sú kompletne bezdrôtové, či už z hľadiska komunikácie s okolitým svetom, alebo vďaka napájaniu kompatibilnému so štandardom Qi.

The thesis deals with the design and creation of a system for recording and reporting error states of cooling devices on the principle of a compressor heat pump. An important element of the concept of the entire monitoring system is a built-in platform based on the ESP32 microcontroller for evaluating data measured by sensors. Another key element is the communication module, which sends measured data via GPRS in the form of MQTT messages to the service web application. The application receives, evaluates and records measured data. Subsequently are measured data and evaluated error states presented to the user in the form of tables and interactive graphs.

The aim of this work was to create a module for home automation tools Home Assistant. The module is able to determine  which room is inhabited and estimate more accurate position of people inside the room. Known GPS location cannot be used for this purpose because it is inaccurate inside buildings and therefore one of the indoor location techniques needs to be used. Solution based on Bluetooth Low Energy wireless technology was chosen. The localization technique is the fingerprinting method, which is based on estimating the position according to the signal strength at any point in space, which are compared with a database of these points using machine learning. The system can be supplemented with motion sensors that ensure a quick response when entering the room. This system can be deployed within a house, apartment or small to medium-sized company to determine the position of people in the building and can serve as a very powerful element of home automation.

An Experimental Diagnostic Tool (EDT) was developed to increase the efficiency of the diagnostic process of robotic lawn mowers which resulted in a 200% productivity increase when utilizing a proposed formula specifically designed for the diagnostic process of robotic lawn mowers. The tool does not only extract and process data from the robotic lawn mower wirelessly but also highlights potential faults through an intuitive and easy-to-use interface - empowering servicing technicians who perform the diagnostics to perform at a higher level. Further, efficiency is a term widely used in various domains and contexts when measuring the capacity of a process. Proposed general definitions of the term have been given by previous authors and researchers. However, due to a lack of universally set definitions which fit all situations, the term remains ambiguous when improvements to a specific process are needed. The unclear definition is due to the variations within each process affecting the definition of both the term itself, but also similar terms fundamentally connected to it such as productivity, performance, and profitability. The following report contains an investigation of exploratory research where the understanding of efficiency and its related concepts are analyzed within the after-sales diagnostic process of robotic lawn mowers.

The aim of this thesis was to learn and summarize basic information about IoT systems, which protocols are used and introduction of Google Home system. The first part of the thesis describes the individual parts of the system --- microcontrollers, sensors, light elements and possible systems for backend. In the implementation part of the thesis was designed a solution for smart home controling using Google Home technology. Based on data from the weather station, the system controls and adjusts the intensity of outdoor lighting and controls the blinds. Furthermore, a control module for gate and garage door control is implemented. The system also takes care of vacuum cleaning in the house using iRobot Roomba vacuum cleaners with custom Wi-Fi module. The final part of the thesis summarizes the achieved results.

The presented work deals with the development of a monitoring system for monitoring the operation of the laboratory. The theoretical part of the work includes information on the safety of operation and work in biological laboratories, measured physical quantities and the principle of their measurement. The monitoring system is built on a compact ESP32-CAM camera and a WeMos D1 development board. The practical part consists of the design and implementation of a given system and the creation of a full-stack application for displaying live input from the laboratory for monitoring measured quantities in real time.