Key facts
- ISRO, in collaboration with Andhra University, is developing an AI system called "Project Bharati" to detect rip currents.
- The system utilizes satellite imagery, weather data, ocean monitoring, and live video feeds to identify dangerous currents.
- Rip currents are a leading cause of drowning globally and are difficult to spot with the naked eye.
- AI's ability to analyze large datasets quickly allows for faster identification of potential threats.
- The AI system aims to complement human judgment by providing real-time warnings to authorities and lifeguards.
The Indian Space Research Organisation (ISRO), through its "Project Bharati" initiative with Andhra University, is leveraging artificial intelligence to enhance coastal safety by detecting dangerous rip currents in real time. This AI-enabled system analyzes a combination of satellite imagery, weather patterns, ocean conditions, and live monitoring feeds to identify these powerful water channels that pose a significant drowning risk.
Rip currents are notoriously difficult to spot with the naked eye, even for experienced observers, making them a major contributor to beach fatalities worldwide. AI's capacity to process extensive data from multiple sources rapidly allows for the identification of subtle indicators of rip current formation, offering a crucial advantage over manual observation. The system is designed not to replace human judgment but to augment it, providing authorities with timely and actionable insights.
Upon detection of potential threats, the AI system can issue alerts through various media, including visual displays, warning signals, and direct notifications to lifeguards. This technological advancement highlights AI's utility in time-critical situations, where even a few minutes' notice can significantly improve public safety and disaster management along coastlines.