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Surveillance Artificial Intelligence for Lifesaving (SAIL)
Drowning is a time critical problem. In dynamic coastal environments, human surveillance is constrained by distance, glare, crowd density, fatigue, and competing operational demands. Surveillance AI for Lifesaving (SAIL) is Surf Life Saving NSW’s applied artificial intelligence program focused on one outcome: reducing the time between a person getting into trouble in the water and a lifesaver intervening. SAIL addresses this gap by augmenting, not replacing, lifesavers with persistent, automated detection capability.
The program uses shore based camera systems combined with computer vision models trained on real surf conditions. These models continuously analyse the water to identify high-risk behaviours and patterns. When a credible risk is detected, alerts are delivered to operational staff, enabling faster verification and response.
SAIL is not a standalone technology experiment. It is integrated into Surf Life Saving NSW’s operational ecosystem, including communications, incident management, and rescue workflows. Design priorities include reliability in harsh coastal conditions, explainable alerts, controlled false positive rates, and usability under pressure. Performance is assessed against real rescue outcomes, not theoretical benchmarks
Critically, SAIL shifts surveillance from reactive to proactive. Instead of relying solely on a raised arm or a bystander to call triple-0, the system identifies risk before distress becomes visible or irreversible. The program is already delivering measurable impact, with multiple rescues initiated or accelerated by AI detections. These are operational interventions, not simulations.
Surf Life Saving NSW’s SAIL demonstrates a pragmatic model for AI in public safety: narrowly scoped, outcome-driven, ethically deployed, and embedded within human decision making to improve lifesaving outcomes.
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