# AI-Powered Drones to Monitor Shark Activity Along NSW Coast Artificial intelligence deployed to enhance beach safety through real-time shark detection. - **Source:** [Sydney Morning Herald - Latest News](https://www.smh.com.au/rss/feed.xml) - **Published:** 2026-09-27 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/59e8a7c7-f36c-48a2-a472-20cdda1fe887 ## AI-driven surveillance initiative New South Wales coastal waters will soon be monitored by AI-equipped drones to detect sharks. The system aims to reduce human risk by identifying dangerous species in real-time. This approach replaces less efficient manual spotting methods. The technology represents a shift toward automated wildlife monitoring solutions. ## Technology implementation The drones use computer vision algorithms trained to recognize shark shapes and movement patterns. They'll cover popular beach areas where shark encounters historically occur. Data transmission happens in near real-time to lifeguard stations. This allows for faster warnings compared to traditional surveillance techniques. ## Safety impact The system could significantly reduce response time for shark sightings. Current methods rely on spotter planes or beach observers with limited coverage. AI analysis provides continuous monitoring regardless of weather conditions. This addresses a critical gap in coastal safety infrastructure. ## Operational advantages Drones offer cost-effective 24/7 surveillance compared to manned aircraft. They can access hard-to-reach coastal areas with precision. The AI reduces false positives common in visual identification. This combination improves resource allocation for marine safety operations. ## Data integration The system will log shark sightings to build movement pattern databases. Historical data can predict high-risk periods and locations. This supports proactive beach closures when necessary. Such analytics were previously impossible at this scale. ## Environmental considerations The technology minimizes disturbance to marine ecosystems compared to physical barriers. It provides non-invasive monitoring that preserves natural shark behavior. Data collected may contribute to conservation research. The approach balances human safety with ecological protection. ## Future applications Successful implementation could expand to other marine predator monitoring. The framework may adapt for tracking endangered species or illegal fishing. Similar systems might protect other high-risk coastal areas globally. This pilot could redefine wildlife management technologies. ## Implementation timeline Authorities plan phased deployment starting with high-traffic beaches. Full coastal coverage depends on initial performance metrics. The project requires coordination between tech providers and marine safety teams. Success could establish new standards for coastal surveillance worldwide. ## Sources covering this story - https://www.smh.com.au/national/ai-drones-to-track-sharks-20260927-p610w2.html?ref=rss&utm_medium=rss&utm_source=rss_feed — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._