Every year, drowning accidents and costly lawsuits strike, often because danger goes undetected. Imagine the difference AI Drowning Detection could have made in these real-life scenarios:
In July 2022, 6-year-old Adeline Stewart tragically drowned at the Oceans of Fun water park in Kansas City. Despite lifeguards being present, she was pulled from the pool too late and passed away at a local hospital. Her family filed a lawsuit, alleging that young, inexperienced lifeguards were unable to properly monitor the crowded pool, leading to Adeline’s death.
How AI Could Have Helped:
AI-powered drowning detection systems like AngelEye would have continuously monitored every swimmer in the pool, instantly detecting Adeline's submersion. Within seconds, the system could have sent an alert to the lifeguards, giving them the critical time needed to intervene before the situation escalated. Instead of relying solely on human attention, the AI could have detected distress signals in real-time, potentially saving Adeline’s life and preventing a devastating lawsuit.
In April 2021, 4-year-old Demi Williams drowned in a pool at Crown Reef Beach Resort and Waterpark in Myrtle Beach, South Carolina. Demi was one of three children to drown at this resort in a three-year span. The pool had poor lighting and no lifeguards on duty, contributing to the tragic incident. Her family has since filed a lawsuit, citing inadequate safety measures.
How AI Could Have Helped:
An AI-powered drowning detection system could have monitored the pool in real-time, compensating for poor lighting conditions and the lack of lifeguards. Within seconds of detecting Demi’s struggle, the system would have notified hotel staff, enabling them to respond quickly. This proactive approach could have averted Demi’s drowning and shielded the resort from multiple child death lawsuits.
In a tragic incident at a Charlotte, NC, apartment complex pool, a drowning resulted in a lawsuit being filed by the victim's family, claiming that inadequate safety measures and poor visibility led to the fatal outcome. Although lifeguards were employed, distractions and pool conditions impaired their ability to respond effectively.
How AI Could Have Helped:
AI technology like AngelEye’s system would have monitored the pool 24/7, regardless of distractions or poor visibility. The system would have instantly detected signs of danger, alerting lifeguards within 15 seconds, ensuring they were aware of the emergency before it became fatal. The lawsuit, which arose from delayed human response, could have been avoided through AI-enhanced vigilance and protection.