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Pool safety cameras are video monitoring or recording systems designed to increase safety in public and private pools, waterparks, thermal baths, or spa facilities, such as by reducing drowning deaths, injuries, or criminal activities. Lifeguards can see below-water swimmer activity and behaviour thanks to passive technologies.
The views are displayed at the lifeguard position/chair, where they may be incorporated into their 10:20 scan to aid in the early detection of an incident developing or anomalous events occurring. They are designed primarily to solve the physical limits of sight through glare and into blind regions in the swimming pool tank. They are intended to make the job of the lifeguard easier.
The Global Pool safety camera Market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
CamerEye(TM) is redefining swimming pool safety by introducing the first Artificial Intelligence (A.I.) Pool Smart Fence and safety ecosystem to provide speedier distress and near-drowning detection to help save lives. After the pandemic, residential pool construction has exploded.
Pool fun comes with safety concerns. There are almost 3,500 annual deadly unintentional drowning-related incidents in the United States alone, and 15 percent more drowning-related accidents have occurred since the COVID-19 pandemic.
Pool safety is becoming more regulated, with government regulatory requirements and mandates forcing pool owners to have multiple layers of pool safety and security. They comprehend the problem of pool safety as well as the concepts of distress and drowning through the use of life-guarding principles, which can help them tackle the problem in a more educated manner.
The CamerEye A.I. Smart Fence and safety ecosystem for home pools use advanced, highly trained, and adaptive artificial intelligence technology via overhead cameras.
CamerEye excels at eliminating or reducing false detections because to its human detection skills, which rule out pool toys, leaves, and non-human stuff. It also provides faster and more accurate distress detection notifications within 10 seconds, allowing for faster crucial response time.
