Artificial intelligence (AI) technology developed by researchers at the University of California Santa Cruz aims to enhance beach safety by detecting and monitoring rip currents, a major threat responsible for 80% of ocean lifeguard interventions.
- AI for Beach Safety:
- Researchers at the University of California Santa Cruz, led by Professor Alex Pang, are developing AI algorithms for beach safety.
- The technology focuses on detecting and monitoring rip currents, a significant threat at beaches.
- Inspiration Behind AI:
- Professor Pang’s inspiration came while windsurfing when he realized the difficulty of spotting rip currents with an untrained eye.
- Rip Current Statistics:
- Rip currents move sand, organisms, and materials offshore, posing dangers to swimmers.
- Prevention is crucial, as rip currents account for 80% of ocean lifeguard interventions.
- Collaboration and Forecast Model:
- Researchers collaborated with NOAA scientist Gregory Dusek, who developed a forecast model predicting hourly rip current probabilities up to six days in advance.
- Pang’s detection model improves real-time rip current detection.
- Machine Learning Technology:
- The AI system employs machine learning, a subfield of AI, to continuously improve its recognition abilities over time.
- Lifeguards can receive alerts based on the system’s detection, differentiating between people and surfers.
- Broader Use of AI in Water Safety:
- AI has been used elsewhere to enhance water safety, such as detecting swimmers in distress to prevent drownings.
- Future Implementation:
- The goal is for the AI system to send alerts to lifeguards only when people are detected in rip currents, enhancing efficiency and safety.
- Other AI Applications:
- The article mentions AI’s application in enhancing water safety in locations like a YMCA in Michigan.
- Expert Input:
- Input from water rescues and safety expert Gerry Dworkin is highlighted, emphasizing the significance of addressing rip currents.
- Conclusion:
- The AI technology aims to make beachgoers safer by providing real-time alerts and enhancing the overall effectiveness of lifeguard interventions.