An Internet of Things based Solar Power Monitoring System using Node MCU

Solar power systems are increasingly being adopted as a renewable energy solution worldwide. However, effective monitoring and management of these systems are crucial for optimizing their performance and ensuring their reliable operation. In this research paper, we propose a solar power monitoring system using NodeMCU, an open-source IoT platform. Our system collects, processes, and visualizes real-time data from solar panels, batteries, and other qsystem components, providing comprehensive monitoring capabilities for solar power system owners. The system is designed to be cost-effective and scalable, making it suitable for both residential and commercial applications. Through our research, we demonstrate the feasibility and effectiveness of our solar power monitoring system using NodeMCU. The findings contribute to the field of renewable energy management by offering an innovative approach to monitor and optimize solar power systems, promoting the wider adoption of renewable energy sources for a sustainable future

Smart Pumping System using Energy Efficiency Control Algorithm

Water is one of the most important resources for sustaining life on earth. It is essential for daily activities like cooking, cleaning, and bathing. In residential areas, water supply systems are usually managed by Municipal Corporations or other governing bodies. This project mainly focuses on the IoT based solution for automation of the water tank filling system in our residential area. In this project two Esp8266 MCU connected to the same cloud channel are used, one will be at the Water Source side and other will be at Tank side. The Ultrasonic Sensor connected to the Esp8266 senses the water level in the tank, if the Water level is low the Esp8266 will sent the Motor ON signal to the ThingSpeak IoT Cloud and the Esp8266 at the river or dam side is also connected to the same cloud channel will read that signal and turn the ‘Motor ON’. If the tank is full the Esp8266 sends the ‘Motor OFF signal’ over the cloud and the other microcontroller at the river/dam side will turn OFF the motor. A web interface displaying graphs and indicators is also provided for the user to study and analyze the data from the system

Smart Cradle: A Technology-Enabled Solution for Safer and Better Infant Sleep

The Smart Cradle using Internet of Things (IoT) is a novel and innovative approach to modernize traditional cradle systems by incorporating smart and connected technologies. This IoT-based cradle system offers enhanced safety, comfort, and convenience for both babies and caregivers. The Smart Cradle is equipped with various sensors such as temperature, humidity, motion, and sound sensors that continuously monitor the baby's environment. These sensors collect data in real-time and send it to a cloud-based server for processing and analysis. The caregivers can access this data through a mobile application or a web interface, allowing them to remotely monitor the baby's condition and receive alerts in case of any abnormalities. Furthermore, the Smart Cradle incorporates features like automated rocking, adjustable incline, and soothing lullabies, which can be controlled remotely through the mobile application. The caregivers can customize the cradle's settings based on the baby's preferences and needs, providing a personalized sleeping experience for the baby. Additionally, the Smart Cradle offers seamless integration with other smart home devices, such as smart cameras, smart lights, and smart thermostats, enabling caregivers to create a safe and conducive environment for the baby. The system can also generate insights and recommendations based on the collected data, helping caregivers to make informed decisions about the baby's sleep patterns, health, and well- being

Smart ATM Security and Alert System with Real-Time Monitoring

The growing adoption of automated teller machines (ATMs) worldwide, ensuring the security of ATM transactions and protecting customer data has become a critical concern for the banking industry. In this research paper, we proposed an Internet of Things (IoT) based ATM security system using the NodeMCU ESP8266 module, PIR (Passive Infrared) sensor, LCD display with I2C interface, and the Telegram app. The proposed system utilizes the NodeMCU ESP8266 module, which is a low-cost Wi-Fi enabled microcontroller, as the main controller for the security system. The PIR sensor is used to detect motion or presence near the ATM, which can potentially indicate unauthorized access. The LCD display with I2C interface is used to provide real-time status information about the ATM, such as Motion Detected or NO Motion. When the PIR sensor detects any suspicious activity near the ATM, the NodeMCU ESP8266 module sends a notification to the ATM owner or security personnel via the Telegram app. The notification includes details about the detected activity, allowing the owner or security personnel to take immediate action. The real- time alerts enable prompt response to potential security breaches and help prevent unauthorized access to the ATM

Keyless Security: The Smart Solution for Home with a Smart Door Lock

This research paper introduces a novel approach to improve security and access control in smart door lock systems. The proposed system incorporates multi-factor authentication, combining a numerical keypad, mobile app, and RFID sensor. Each authentication method is associated with a specific lock, offering differentiated access control. Notably, the system requires the simultaneous use of the mobile app and RFID sensor to unlock a designated lock, adding an extra layer of security. To assess the system's effectiveness, a comprehensive study was conducted, considering security, usability, and user satisfaction. The study involved simulated attacks, user surveys, and usability tests, with data analysis providing insights into the system's resilience and user acceptance. This research contributes to the field of smart door lock systems by offering an innovative approach to enhance security through multi-factor authentication. The findings provide valuable insights for designing advanced access control mechanisms, empowering users with increased confidence in their security measures while maintaining a user-friendly experience