Analysis of Artificial Intelligence Systems in Enhancing Home Security. Case Study of Zimbabwe Smart Homes

Abstract

The analysis examined the use of artificial intelligence systems in enhancing home security in Zimbabwe. The country has faced a variety of security challenges namely, armed robberies that have put residents at psychological and physical risk. Artificial intelligence systems mitigate the risks by providing advanced monitoring and detection capabilities. The theoretical framework covered the use of internet protocol cameras, facial recognition software, sensors and alarm systems in security systems. The study made use of interviews, questionnaires and observation tools to build the primary data while the literature review and data analysis made up secondary data. The questions asked by the researcher were in line with the research questions to meet the objectives. The study concluded that artificial intelligence addresses the weakness of traditional security systems and highlighted how it can be implemented within Zimbabwe. Additionally, the study examined the barriers to the adoption of AI-based security systems in Zimbabwe such as power cuts, data costs and privacy concerns. The findings from the research can be used to educate homeowners on modern home security systems and highlight the policies and laws surrounding it