AI-Powered Coastal Safety: Beach Security with Rip Current Detection
Researchers from the University of California, Santa Cruz, led by Professor Alex Pang, are working on the development of artificial intelligence algorithms that will enable the monitoring of risks along the coastline.
There will be warnings for the presence of Rip Currents, while also providing assistance to animals and valuable information to lifeguards. Pang was inspired by the difficulty of identifying Rip Currents while surfing. This AI development is crucial for preventing fatal situations at sea. Experts advise paying attention to warning signs, such as yellow and red flags.
Pang and his team have created an advanced Rip Current detection model using machine learning technology, a category of artificial intelligence. This model was trained with images for detecting breaking currents and aims for real-time detection. This technology allows the system to continuously improve its ability to recognize Rip currents over time.
Furthermore, it can distinguish between swimmers and surfers, adding a level of specialization. Similar technologies have been applied in other instances, such as detecting swimmers in danger in aquatic areas, providing a new dimension to accident prevention and rescue operations. For example, a YMCA location in Ann Arbor, Michigan, used technology from the Israeli company Lynxight to identify swimmers in danger in a water area. This advancement helped prevent drownings and added safety to the area.