P . Vinod
P . Vinod has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- A. Sai Pranathi1 shared publication
- B. Suresh1 shared publication
- C. Sunitha1 shared publication
- D. Siva
Department of ECE, SRIT, Proddatur, India
1 shared publication
Latest Publications
- 4 April 2025
- Published by Edtech Publishers (OPC) Private Limited in International Journal of Scientific Research in Engineering and Management
- Vol. 09 (04) , 1-9
Real-Time Landslide Monitoring and Alarm System
Landslides pose a significant risk to communities worldwide, often resulting in substantial damage and loss of life. This project presents the design and implementation of a low-cost, efficient Landslide Monitoring System based on an ESP32 microcontroller, integrating both a MEMS accelerometer [1] (ADXL345) and a vibration sensor to detect early warning signs of landslides. The system is designed to differentiate between a mere vibration event, which indicates a preliminary instability, and a more severe tilt event that suggests an imminent landslide. Upon detection, the system triggers an audible alert via a buzzer and displays status information on an LCD, while simultaneously transmitting critical data to a remote web server for real-time monitoring and further analysis. This paper leverages the robust connectivity features of the [2] ESP32 to ensure that alerts and sensor data are rapidly communicated over Wi-Fi, allowing for timely intervention by local authorities or disaster management teams. Key software components include sensor data acquisition using the I2C protocol, sensor calibration, threshold-based decision making, and HTTP-based data upload routines. KEYWORDS: ESP32 Microcontroller, ADXL345 Accelerometer, Vibration Senor, Buzzer, Wi-Fi Module.
- 4 April 2025
- Published by Edtech Publishers (OPC) Private Limited in International Journal of Scientific Research in Engineering and Management
- Vol. 09 (04) , 1-9
Real-Time Landslide Monitoring and Alarm System
Landslides pose a significant risk to communities worldwide, often resulting in substantial damage and loss of life. This project presents the design and implementation of a low-cost, efficient Landslide Monitoring System based on an ESP32 microcontroller, integrating both a MEMS accelerometer [1] (ADXL345) and a vibration sensor to detect early warning signs of landslides. The system is designed to differentiate between a mere vibration event, which indicates a preliminary instability, and a more severe tilt event that suggests an imminent landslide. Upon detection, the system triggers an audible alert via a buzzer and displays status information on an LCD, while simultaneously transmitting critical data to a remote web server for real-time monitoring and further analysis. This paper leverages the robust connectivity features of the [2] ESP32 to ensure that alerts and sensor data are rapidly communicated over Wi-Fi, allowing for timely intervention by local authorities or disaster management teams. Key software components include sensor data acquisition using the I2C protocol, sensor calibration, threshold-based decision making, and HTTP-based data upload routines. KEYWORDS: ESP32 Microcontroller, ADXL345 Accelerometer, Vibration Senor, Buzzer, Wi-Fi Module.