Smart Lavatory Solution: Integrating IoT and Deep Learning Models for Enhanced Hygiene

Abstract

In the current era of smart technology, integrating the Internet of Things (IoT) with Artificial Intelligence has revolutionized several fields, including public health and sanitation. The smart lavatory solution proposed in this paper improves hygiene standards using deep learning models and IoT system. The proposed system collect real-time data from deployed sensors to monitor and assess hygiene conditions regularly. Proposed model consists of four consequent phases as hardware implementation, data preprocessing, application and user interface modules. Rasberry Pi based sensor integration at hardware layer, normalization based techniques at data preprocessing layer, LSTM and GRU based deep learning model at application development layer and mobile notification to the cleaning staff at user interface layer ensure efficiently cleaning and monitoring of lavatory systems. Prior to assessing the proposed model’s testing accuracy experiments on the activation functions, optimizer, learning rate, and number of epochs were selected to choose the best to prevent overfitting or underfitting problems. With an accuracy of 98.61%, the proposed system performs better than the conventional approaches.