DEEP LEARNING BASED INTELLIGENT SECURITY SYSTEM FOR HOMES

In today's world, technology is omnipresent. In many areas of human life, people use some kind of new technology. From smartphones that people use every day to intelligent systems built into the cars. Accordingly, many technologies are also used in homes. Some of these include smart thermostats, appliances, lighting and various voice assistants. In some cases, all of that is implemented as one system. In this paper, some methods that can be used for security purposes in homes and other buildings have been analyzed and studied. The methods mentioned in this case form an intelligent security system based on deep learning. The described example of a security system can be used for both access to the house and access to the outside of the house. In this case, the methods of gait recognition, face recognition and vehicle recognition, i.e., cars recognition, were used and analyzed. Accordingly, three deep learning models were developed and described for the gait, face and vehicle recognition. The analysis, the defined settings and the results obtained in relation to the developed models were also described.