We built an IoT-based detection of weevils in cereals monitoring and detection prototype as a proof-of-concept that allows remotely monitoring cereals using smart agriculture sensors, actuators, and the internet for automatic detection of weevils in stored products, potentially decreasing the need for chemical control. Users can use web/mobile applications to interact with their grain silos and help them in getting early detection of possible infestations. We used an industrial-level IoT platform to interface between the sensor layer and the user layer.
Moreover, we have collected data using accelerometer sensors, temperature sensor, and humidity sensor and we applied signal processing and statistical techniques to analyze collected data using machine learning and Internet of Things.
This proposed system attempts to address the flaws of the current system by employing cutting-edge technology to prevent road accidents caused by speeding and intoxicated driving. The system includes an RF module, a MQ3 alcohol sensor, and a microcontroller that measures the vehicle's speed as w...
Read more>>The IoT-based Medi-WebCPD device revolutionizes the healthcare industry by leveraging Internet of Things (IoT) technology to enable seamless communication between patients and doctors. This innovative device eliminates the need for physical visits or phone calls, providing instant and secure communi...
Read more>>This project entitled ''IOT BASED FOOD GRAIN MONITORING''. In this project, a NodeMCU microcontroller is integrated with multiple sensors, including a gas sensor, DHT sensor, and two load cell sensors, as well as control for air conditioning and heating systems. The NodeMCU monitors temperature a...
Read more>>This report is a product of project entitled "Automatic photovoltaic solar panel cleaning system" The aim of this project is to design an innovative cleaning solution for photovoltaic solar panels in solar power plants. The accumulation of dust and debris on solar cells significantly reduces the eff...
Read more>>Drivers who are drowsy or tired present a serious danger to other drivers on the road because they are less vigilant and are more likely to fall asleep at the wheel. The lack of an effective real-time system that can consistently identify warning signs of driver fatigue and quickly issue alarms to p...
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