A vision-based system to early detection of drowning incidents in swimming pools / Ahmad AlKhouli ; Jan Allam ; Tuqa Alkhatib ; Abdulkarim Shahin ; Ahmad Saada
Publication year: 2021
ISBN: CCE00038
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Being one of the leading causes of death; drowning has become a severe problem in the past few years. Our goal from this project is to focus on the comprehensive survey of drowning detection and prevention techniques. There are various methodologies put up in the domain of swimming pool safety using different intelligent control systems. Various methods have been adopted for drowning detection using the concepts of image processing, pressure and motion sensing. The main objectives of this work are to detect the drowning person in an indoor swimming pool and send an alarm to the lifeguard to rescue if the previously detected person is missing for a specific amount of time.
Subject: Computer Sceince, Cross-platform, Machine learning, Deep learning, Artificial intelligence, Drowning
