Welcome to Lifeguard Vision

Leveraging artificial intelligence to assist lifeguards in rapidly identifying potential drowning incidents and alerting emergency services before the situation escalates.

Who We Help

Drowning is a leading cause of unintentional death globally, claiming over 320,000 lives each year, with young children being especially vulnerable—drowning is the top cause of accidental death for children aged 1 to 4. In the U.S. alone, an average of 10 people drown daily, and thousands more suffer severe, often life-altering injuries. Most incidents occur in residential pools, often within minutes and without warning, even with supervision present. With many victims going unnoticed until it's too late, there's a clear need for an upgrade in surveillance that can detect drowning in real time and automatically alert EMS—ensuring a faster, life-saving response when every second counts.

Source: stopdrowningnow.org

How it Works

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AI Detection

Our AI software will continuously monitor pool activity, detecting passive drowning victims in real-time.

Instant Alerts

When an unconscious person is detected in the pool, EMS (Emergency Medical Services) will receive an immediate alert.

About Us
Group Picture

We are Bromchaks, a team of four students aspiring to pursue careers in computer science. From left to right in the photo above, our members are Jayden Nguyen, Brandon Tseng, Michael Wu, and Timothy Huang.

This project was our submission to the 2025 BroncoHacks hackathon.

Emails:

Jayden Nguyen — jayden.vinh.nguyen@gmail.com

Brandon Tseng — btseng7274@gmail.com

Michael Wu — mwu250@gmail.com

Timothy Huang — huangtimothy@yahoo.com