2 research outputs found

    Real Estate App Development Based on AI/VR Technologies

    No full text
    This paper deals with an investigation centered on developing a real estate app on the basis of Artificial Intelligence and Virtual Reality technologies. The study explores the advantages and disadvantages of using Artificial Intelligence and Virtual Reality technologies in real estate. The main focus of the study was on AI/VR applications that have importance for the real estate industry. This paper explains how AI and VR technologies can benefit the real estate market. VR and AI technologies have had a long history in the academic world since the middle of the last century, but not at the same level, due to the lack of large amounts of data and computational power required for both technologies. In recent years, the expansion of IT technologies has helped to remove the technical obstacles, which is why the interest in VR and AI technologies has acutely increased in society and the public over the past several years. Not only the research and abstract ideas of the virtual world but also the feasibility of companies from different industries are becoming more and more relevant. In particular, when it comes to virtual reality, the focus is on 360° images. With special cameras, the entire environment can be captured in a three-dimensional space and then cut together in such a way that the viewer can actually look around in this room and monitor events from his perspective. This opens the possibility of presenting different content in a completely new way. Technical shortcomings currently hamper the feeling of true immersion in virtual worlds. A detailed literature review provides the necessary theoretical basis for artificial intelligence and virtual reality with a particular emphasis on its use in the real estate industry

    Model of Smart Locating Application for Small Businesses

    No full text
    This paper presents a solution for small businesses to gather statistics on the presence of their customers in and around their institutions, using Bluetooth technology. The solution includes a model of a mobile system based on Bluetooth technology that can provide information about the detectable devices’ relative position to create statistics on users’ presence in a specific timeframe. The research conducted shows that Bluetooth technology can be efficiently used to log the user’s relative position. This paper proposes a two-component system, which includes a mobile application and a cloud-based database with a simple online query interface. The prototype was implemented for the Android operating system and confirms the feasibility of the proposed solution. The developed prototype application was designed as a foundation for further commercial development. The proposed solution provides small businesses with an accessible way of collecting data on the presence of people without having to buy specialized equipment
    corecore