Integrating AI and IoT for Enhanced Safety in Household Electrical Appliances

Abstract: The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) has emerged as a transformative approach to enhancing safety in household electrical appliances. This review explores how AI-driven predictive maintenance, real-time anomaly detection, and automated responses, combined with IoT-enabled sensor networks and cloud analytics, mitigate risks such as electrical faults, overheating, and fire hazards. By analyzing current technological advancements, we highlight the efficacy of AI models (e.g., deep learning, federated learning) and IoT frameworks (e.g., edge computing, 5G) in reducing appliance-related accidents. Case studies from industry leaders (e.g., Samsung SmartThings, Nest Protect) demonstrate reductions in false alarms (85%) and emergency response times (63%). However, challenges like data privacy, interoperability, and cost barriers persist. Future directions include quantum AI, self-healing materials, and policy initiatives to bridge socioeconomic disparities in access to smart safety technologies.