IoT: Building a Raspberry Pi security system with facial recognition

As IoT grows, devices become more cheaply available and facial recognition develops rapidly, the need for a system using these three components arises. Combining these three technologies will allow tackling a diversity of use cases, from replacing door locks to smart CCTV systems. Some products which are making use of these components combined exist, but none have been implemented on a low-budget system under 100 euros. For this reason, the aim of the thesis is to work only with open-source software, no webservice, and only with the cheapest hardware available and the question whether it is possible to build such a system with the given hardware. The following thesis will first focus on facial recognition and IoT in a theoretical framework, which is then followed by its implementation throughout the project’s five phases and a final presentation of the product. The result of the presented project is a working system using facial recognition with OpenCV, IoT over the MQTT protocol and Clients on the Raspberry Pi as well as on an Android mobile application. The thesis builds a foundation using these three components on a system applicable in many further scenarios of facial recognition in combination with IoT on low-budget hardware