Home surveillance is a major concern in this day and age as with the rapid increase in the technology around us. There is a need to get updated with new possibilities to make our lives better and easy. Some cases and situations exhibit the need for home monitoring. So, we set out to discover a solution to this problem of home monitoring. Generally, we have issues with pets and kids alike such as approaching dangerous places like electric switches, stairs, and hot things. Not only a problem with kids and pets but also a chance of burglary and stranger's unusual activities. To overcome this problem we are designing and prototyping a system to keep an eye on kids, pets, and older people. This system is used in other applications like theft monitoring. The device can monitor the field all the time. In this way, this system helps in-home monitoring. The system consists of Arduino, which is the brain of the system, the PIR sensor, ESP32-CAM, and buzzer. The PIR sensor detects motion then gives input to the Arduino. Arduino gives output to the ESP32-CAM and buzzer. The ESP32-CAM can be activated and sends information to the user through the web Interface and the application. The user can see the video streaming on the PC screen or any other display. The buzzer can emit a high volume signal indicating that "there is an alert at the home".

Cell culture is a fundamental procedure in many laboratories and precedes much research performed under the microscope. Despite the significance of this procedural stage, the monitoring of cells throughout growth is impossible due to the absence of equipment and methodological approaches. This thesis presents a low-cost, power-effective and versatile microscope with small enough dimensions to operate inside an incubator. Besides image acquisition, the microscope comprises other functions such as a data pipeline, implemented to save the images on the user’s computer via a server whilst also offering storage of the images on an integrated micro SD-card. Furthermore, a machine learning algorithm with a human-in-the-loop approach has been trained to segment the acquired images for cell proliferation and cell apoptosis tracking, and yielded promising results with an accuracy of 94%. For comparison, conventional segmentation techniques using operations such as the watershed function were deployed.The microscope described is versatile in operation as it offers the user to utilise one or more functions, depending on the purpose of the imaging. / Cellodling är en grundläggande process i många laboratiorium och föregår forskning som utförs under mikroskop. Trots inkubationens betydelse har övervakning av celler i detta skede inte varit möjlig på grund utav avsaknaden av relevant utrustning och metodologiska tillvägagångsätt. I denna examensuppsatts på avancerad nivå presenteras ett lågkostnads-, energieffektivt och versatilt mikroskop av centimeterstora dimensioner anpassat för användning i en inkubator. Förutom bildtagningsmekanismer erbjuder mikroskopet olika funktioner som till exempel ett integrerat dataflöde som möjliggör sparande av bilder på användarens dator via en server samtidigt som den erbjuder sparande av bilder på ett integrerat minneskort.Utöver detta har en human-in-the-loop maskininlärningsalgoritm för segmentation av celler implementerats i syfte att övervaka cellernas celldelning och celldöd. Denna algoritm påvisade goda resultat med en nogrannhet på 94%. I jämförelsesyfte har även en traditionell watershed-baserad cellsegmenteringsteknik utvecklats.Mikroskopet kan kallas versatilt då det tillåter användaren att anpassa dataflödet och välja vilka funktioner denne vill nyttja, allt utefter bildtagningens ändamål.

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.