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Last Updated: Apr 25, 2025 | Study Period: 2022-2030
A robot called a virtual lifeguard has been trained to spot pre-drowning behaviours and actual drownings using years of data and millions of footage.If it notices the warning indications of a potential drowning, it immediately alerts a smartphone app. In the event that a youngster enters the pool without their parents' knowledge or consent, it also sends an alert.
Additionally, in the event of a drowning incident, an alarm will ring through the app, from an alarm placed within the home.People believe that drowning occurs when there are no other people present in the pool. Researchers need a method that will enable people to track the activity in the feces in order to change these alarming figures.
The Global virtual lifeguard market accounted for $XX Billion in 2021 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2022 to 2030.
The MYLO virtual life guard offers a proprietary underwater computer detection camera that gives real-time pool footage, making it more than just a "water movement detection" device. The device uses real-time video analysis and the most recent A.I. technologies to monitor a pool and swiftly spot near-drowning incidents.
When a drowning incident is identified, MYLO is built with increasing alerts and push notifications that are promptly issued.
Through its smartphone and in-home alarm systems, MYLO transmits alarms, coupled with images from the pool that enable others to take action. Sending entry alerts, pre-drowning risk alerts, and drowning risk signals, it provides three levels of safety.
MYLO adds a new, significant, and unheard-of layer of protection, but it does not take the place of adult supervision or any other legally needed kind of protection.The award-winning computer vision and machine learning technique for pool activity monitoring was invented by MYLO virtual lifeguard.
The business is in the forefront of creating sophisticated, user-friendly solutions for residential pools. Coral Smart Pool is certain that computer vision and artificial intelligence (AI) have the power to significantly improve the current pool experience in terms of safety, relaxation, automation, enjoyment, and rewards.
Sl no | Topic |
1 | Market Segmentation |
2 | Scope of the report |
3 | Abbreviations |
4 | Research Methodology |
5 | Executive Summary |
6 | Introduction |
7 | Insights from Industry stakeholders |
8 | Cost breakdown of Product by sub-components and average profit margin |
9 | Disruptive innovation in the Industry |
10 | Technology trends in the Industry |
11 | Consumer trends in the industry |
12 | Recent Production Milestones |
13 | Component Manufacturing in US, EU and China |
14 | COVID-19 impact on overall market |
15 | COVID-19 impact on Production of components |
16 | COVID-19 impact on Point of sale |
17 | Market Segmentation, Dynamics and Forecast by Geography, 2022-2030 |
18 | Market Segmentation, Dynamics and Forecast by Product Type, 2022-2030 |
19 | Market Segmentation, Dynamics and Forecast by Application, 2022-2030 |
20 | Market Segmentation, Dynamics and Forecast by End use, 2022-2030 |
21 | Product installation rate by OEM, 2022 |
22 | Incline/Decline in Average B-2-B selling price in past 5 years |
23 | Competition from substitute products |
24 | Gross margin and average profitability of suppliers |
25 | New product development in past 12 months |
26 | M&A in past 12 months |
27 | Growth strategy of leading players |
28 | Market share of vendors, 2022 |
29 | Company Profiles |
30 | Unmet needs and opportunity for new suppliers |
31 | Conclusion |
32 | Appendix |