Real-time Water Logging Monitoring and Forewarning System Facilitated by Vision and IoT

Water logging is a significant problem for developing nations, especially those with high average rainfall or those closer to the sea. In addition to traffic congestion, water logging in cities can also result in financial hardship and, in rare situations, even fatalities. We are plagued by this water logging problem year after year because of ourselves. In addition to natural causes, water logging can also be carried on by man-made factors, including excessive plastic usage, a lack of effective waste management systems, the slow intervention of authorities, and a lack of real-time alarm systems. However, if the likelihood of water logging can be predicted beforehand and a warning can be provided to the authorities at the same time, the situation may be resolved by taking the appropriate action. In this study, we proposed a cost-effective IoT Based embedded system that can predict water logging and send alert notifications to the Authority. Early flood alarms will be sent to the authorities by installing the system in various city locations, especially in those that are prone to water logging. This will assist the authorities to take the appropriate action. The development of real-time notification and remote system monitoring capabilities are the main focuses of this study. To get the desired result, In this study, we use Esp 32 for data processing and transmission, the system also consists of a solar panel, camera, rain sensor, Humidity and temperature sensor, water flow sensor, and Ultrasonic sensor for collecting real-time data from the environment.