Advanced Sensor-Driven Drowning Prevention and Rescue System

The Advanced Sensor-Driven Drowning Prevention and Rescue System is an innovative technology designed to enhance water safety through real-time monitoring and rapid response capabilities. Utilizing a network of sensors, including wearable devices and environmental monitors, the system detects distress signals from individuals in aquatic environments. When an anomaly is identified, the system automatically alerts lifeguards and emergency services, providing precise location data for swift intervention. By integrating machine learning algorithms, the system continually improves its accuracy in distinguishing between normal and emergency situations. This proactive approach not only aims to prevent drowning incidents but also significantly reduces response times during rescues, ultimately enhancing overall water safety for recreational and competitive activities.

Authors

Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/icicnis64247.2024.10823289
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advanced Sensor-Driven Drowning Prevention and Rescue System

Sumiksha Shetty, Pradeep Shenoy, A. Smitha, Chiranthana Brahma A et al.
Water Quality Monitoring Technologies
article

Advanced Sensor-Driven Drowning Prevention and Rescue System

Sumiksha Shetty, Pradeep Shenoy, A. Smitha, Chiranthana Brahma A, M Shreevathsa, Sawan Keshav Palekar
article en

Abstract

The Advanced Sensor-Driven Drowning Prevention and Rescue System is an innovative technology designed to enhance water safety through real-time monitoring and rapid response capabilities. Utilizing a network of sensors, including wearable devices and environmental monitors, the system detects distress signals from individuals in aquatic environments. When an anomaly is identified, the system automatically alerts lifeguards and emergency services, providing precise location data for swift intervention. By integrating machine learning algorithms, the system continually improves its accuracy in distinguishing between normal and emergency situations. This proactive approach not only aims to prevent drowning incidents but also significantly reduces response times during rescues, ultimately enhancing overall water safety for recreational and competitive activities.

Openalex Percentile: Top 75%
Water Quality Monitoring Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.