The Internet of Things (IoT) and the Internet of Vehicles (IoV) are two examples of interconnected systems and gadgets that have emerged as a result of the rapid improvements in technology. Numerous industries, including disaster management and public safety, could be completely transformed by these technology. In this work, we suggest an IoT and IoV-based remote real-time monitoring and safety system for fire and earthquake detection. The suggested system makes use of a network of sensors that are placed in buildings and vehicles to track seismic activity and spot fires before they start. Numerous data collecting tools, such as vibration sensors for earthquake detection and smoke detectors for fire detection, are included in these sensors. A centralized control unit receives the wireless transmission of the collected data. The control unit processes the supplied data using sophisticated data analytics and machine learning techniques to precisely identify earthquake and fire occurrences. The IoV idea is also used by the system to improve the effectiveness and efficiency of the reaction measures. In order to assist quick emergency response and optimize the evacuation routes, it makes use of the real-time location and trajectory information of vehicles. The suggested solution has a number of benefits over conventional monitoring and safety systems. It offers real-time monitoring capabilities that allow authorities to react quickly to earthquake and fire occurrences, reducing the possibility of human casualties and property damage. By enabling intelligent decision-making based on the fluctuating traffic conditions and available resources, the integration of IoV improves the system's responsiveness.

Internet of Things, Internet of Vehicles, remote monitoring, real-time safety system, earthquake detection, fire detection, data analytics, machine learning, emergency response, evacuation optimization.