Affiliation:
1. Department of Economic Management , Shanxi Vocational College of Tourism , Taiyuan , Shanxi , , China .
Abstract
Abstract
Recent advances in Internet technology have revolutionized the property management industry by integrating intelligent systems. This paper examines the Impact of face recognition technology, notably the A-2D2PCA algorithm, on enhancing management efficiency and security. Our study combines experimental simulations and system analysis to evaluate the technology’s application in property management, revealing a notable increase in face recognition accuracy to 72.85%. Analysis of 300 real estate projects demonstrates that implementing face recognition can significantly boost the quality of property management services, with companies offering high-quality services seeing a 53.79% increase in market share. The findings suggest that face recognition technology elevates management efficiency and security and enriches residents’ living quality, offering innovative directions for the growth of the property management sector.
Reference19 articles.
1. Mesthrige, J. W. (2021). Buyers’ property asset purchase decisions: an empirical study on the high-end residential market in hong kong. International Journal of Strategic Property Management.
2. Vladimír Rakovi, Zlatica Muchová, & Petrovic, F. (2019). A new approach to the registration of buildings towards 3d land and property management in slovakia. Sustainability, 11(17), 4652.
3. Ferry, Nicolas, Chauvel, Franck, Song, & Hui et al. (2018). Cloudmf: model-driven management of multi-cloud applications. Acm Transactions on Internet Technology.
4. Holmberg, I. M. (2019). Urban heritage as ethos in resource-based small-scale property management. Sustainability, 11.
5. Novo, & Oscar. (2018). Blockchain meets iot: an architecture for scalable access management in iot. IEEE Internet of Things Journal, 1184–1195.