Nowadays swimming pools are considered one of the main luxuries in the world right now and can be found in clubs, residents, hotels, and schools. Most of these places have a lifeguard to keep an eye on swimmers and rescue them if an accident happens but lifeguards always face difficulties like swimmers who drown in blind spots, So we propose a system based on IOT technology that classifies swimmers behavior underwater and switches on alerts if the system detects a drowning behavior. The system consists of main 3 nodes. The camera captures videos underwater with microcontroller “nividea jetson”. As a result, Drowning is detected using machine learning, image processing techniques, and CNN algorithm. Finally, a mobile message notification will be sent to the medical support account on the mobile application and additionally, a light alarm will alert the pool.
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