Our Vision

SOSense’s biggest ambition is to save lives and prevent irreversible damages, by improving the safety of swimmers, especially children, in private & public pools
and in any other swimming designated location

SOSense will become the global standard for pool safety, maintenance and communication with it’s underwater acoustic analysis technologies

The Problem

Pool drowning has been ignored for too long

3rd

3rd

Drowning is the 3rd leading cause of unintentional injury death worldwide, accounting for 7% of all injury-related deaths. Drowning is the third leading cause of death worldwide for those aged from 5 to 14

1,000+

1,000+

In the US alone, 1,000 children under the age of 14 die from drowning in pools every year

300

300

Children under the age of 5 drown in backyard pools every year, across the US

top 10

top 10

The World Health Organization (WHO) emphasizes that drowning is one of the most overlooked, preventable causes of death across the world.  For around the world, drowning is among the top 10 killers for children

88%

88%

Drowning is mostly silent to the outside observer, and occurs in seconds, despite parental supervision in most cases; 88 percent of children who drown are under the supervision of another person

2-3 MIN

2-3 MIN

The timeframe in order to save lives after drowning started

10.5M

10.5M

is the estimated number of residential pools in the US, growing at 50k pools/year

$4.5M

$4.5M

The US lifetime cost per victim of irreversible brain damage caused by non-fatal drowning

$6.2bn

$6.2bn

The global annual costs (insurance, government and public funds) of fatal and non-fatal drownings within children aged 14 and under

Our Technological Differentiation

SOSense’s revolutionary technology differentiates it from any other detection
product by its ability to detect underwater human body distress sound signals

we detect those signals at an early stage of the drowning
and thus allow for a safe window

Drowning Scheme

Technical Capabilities

SOSense’s system

constantly “listens” to underwater pool sounds and learns each pool’s unique environmental noises such as cleaning robots, water purifiers and pumps - to be able to filter those sounds for better human detection. The system constantly monitors streamed data from the pool through SOSense’s local processor and remote cloud.

Pool Entry Mode

system recognizes no swimmer/ human sounds and turns into pool entry mode - where an alarm will be sound when a human (rather than wind, pets and objects) enters the water

Drowning Detection Mode

system recognizes humans in the pool and monitors for bodily distress signals

How It Works

​Early stage drowning detection

Highly reliable with low false positive alarm rate

Affordable
cost

AI & ML makes the platform better over time