A Low-Cost Approach for Drowning Detection and Alertness
Ibrahim, M., Ali, M., Ahmed, M., Mohamed, K., Ali, A., Elsayed, A., AbdElHalim, H., Alnaggar, M., Yousef, A., Siam, A. (2024). A Low-Cost Approach for Drowning Detection and Alertness. EKB Journal Management System, 3(1), -. doi: 10.21608/ejai.2024.223796.1012
Mostafa A. Ibrahim; Manal E. Ali; Mostafa N. Ahmed; Kareem A. Mohamed; Ali I. Ali; Ahmed M. Elsayed; Hossam H. AbdElHalim; Mona Alnaggar; Abdelmawla Yousef; Ali Siam. "A Low-Cost Approach for Drowning Detection and Alertness". EKB Journal Management System, 3, 1, 2024, -. doi: 10.21608/ejai.2024.223796.1012
Ibrahim, M., Ali, M., Ahmed, M., Mohamed, K., Ali, A., Elsayed, A., AbdElHalim, H., Alnaggar, M., Yousef, A., Siam, A. (2024). 'A Low-Cost Approach for Drowning Detection and Alertness', EKB Journal Management System, 3(1), pp. -. doi: 10.21608/ejai.2024.223796.1012
Ibrahim, M., Ali, M., Ahmed, M., Mohamed, K., Ali, A., Elsayed, A., AbdElHalim, H., Alnaggar, M., Yousef, A., Siam, A. A Low-Cost Approach for Drowning Detection and Alertness. EKB Journal Management System, 2024; 3(1): -. doi: 10.21608/ejai.2024.223796.1012

A Low-Cost Approach for Drowning Detection and Alertness

Egyptian Journal of Artificial Intelligence
Volume 3, Issue 1, May 2024    PDF (598.87 K)
Document Type: Original Article
DOI: 10.21608/ejai.2024.223796.1012
Authors
Mostafa A. Ibrahim* 1; Manal E. Ali2; Mostafa N. Ahmed1; Kareem A. Mohamed1; Ali I. Ali1; Ahmed M. Elsayed1; Hossam H. AbdElHalim1; Mona Alnaggar3; Abdelmawla Yousef1; Ali Siam* 1
1Dept. of Embedded Network Systems Technology, Faculty of Artificial Intelligence, Kafrelsheikh University, Egypt
2Dept. of Physics and Engineering Mathematics, Faculty of Engineering, Kafrelsheikh University, Egypt.
3Dept. of Robotics and Intelligent Machines, Faculty of Artificial Intelligence, Kafrelsheikh University, Egypt.
Abstract
In this paper, a unique approach has been developed to detect drowning by using a chest area belt equipped with a pressure sensor to monitor the breathing rate of the person wearing the belt. Additionally, MPU6050 module has been used to measure the cumulative displacement to track the swimmer's movement. These sensors have been integrated with a Remotexy application and a GSM module to create an SMS message that alerts lifeguards when someone is in danger of drowning. The chest area belt is equipped with carbon resistors that are sensitive to pressure changes, allowing us to monitor the breathing rate of the person wearing the belt. By monitoring the breathing rate, we can detect when a swimmer is in distress and alert lifeguards to the potential drowning. To track the swimmer's movement, an MPU6050 has been used, which is a motion sensor that measures the cumulative displacement of the person wearing the belt. This data is then integrated with a Remotexy application and a GSM module to create an SMS message that is sent to lifeguards when someone is in danger of drowning.
Keywords
drowning detection; esp32; chest tracker; breathing rate; pressure sensor
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