IOT based bridge safety monitoring system

Iot based bridge safety monitoring system In this study, an IoT-based bridge safety monitoring system is developed using the PIC microcontroller technology. This system is composed by: monitoring devices installed in the bridge environment, communication devices connecting the bridge monitoring devices and the cloud-based server, a dynamic database that stores bridge condition data and analyzes data transmitted from the monitoring devices. This system can monitor and analyze in real time the conditions of a bridge and its environment, including the bridge vibration, actuating loads on the bridge, water level and…

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Implementation of wireless sensor network for real time overhead tank water quality monitoring

Implementation of wireless sensor network for real time overhead tank water quality monitoring Water is a precious source vital for healthy living. Most of the infectious diseases are due to contaminated water which leads to millions of deaths every year. There is a need to establish Water quality monitoring system to verify whether the determined water quality is suitable for intended use. This paper presents the application of Wireless Sensor Network (WSN) technology for real time online Water quality monitoring. In this paper, the details of system design and implementation…

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Automatic irrigation system using wireless sensor and GSM module

Automatic irrigation system using wireless sensor and gsm module An automated irrigation system is developed to reduce the usage level of water and to reduce power loss in agricultural fields. The system consists of soil-moisture sensor, temperature sensor, water availability sensor, level sensor. In addition, this automated system gives the sensor information, triggering signals to the actuators and also transmits the data through SMS to the farmer. A FUZZY based algorithm is developed with set values of temperature and soil moisture and level of water that is programmed into a…

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Face detection and recognition and attendance using machine learning and deep learning

This project is proposed for real time face detection and recognition. The project is implemented in both machine learning and deep learning. Implementation step: Face is detected in real time, detected face is trained with atleast 1000 frames for good accuracy. The training the collected data Face recognition with input and mark attendance Software used: Python Python Project Demo

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