AI Tool Detects Barn Owls by Their Screech in Southern England

AI for Barn Owl Conservation

• 🦉 An artificial intelligence tool is being used in southern England to aid barn owl conservation efforts.
• 💡 The AI model counts baby barn owls by analyzing their hissing sounds, eliminating the need for invasive methods.

Non-Invasive Monitoring Methods

• ❌ Traditional methods like physically tagging chicks or installing nest cameras are avoided to prevent disrupting the birds or their protected nests.
• 🎙️ An audio moth device is used to record sounds, primarily during the night, for about a week, collecting valuable data.
• 📊 These sound files are then handed over to be analyzed by the AI.

AI Model and Data Analysis

• 🧠 The AI model, created by Kavisha Jayatung from Bournemouth University, processes audio files of the barn owl screech.
• 🎶 It analyzes subtle differences in the sounds, converting them into a 'barcode' format that the model can distinguish.
• ✅ This technology has already successfully identified three owlets from recordings in a local garden.

Broader Applications and Future Potential

• 📈 The data collected is vital for tracking barn owl breeding success, which can vary significantly.
• 🗣️ The AI can also provide insights into the behavior of young owls, such as their feeding habits and hunger levels, based on their hissing.
• 🌍 The creator envisions the technology being expanded to identify individual birds of different species, especially singing birds, by analyzing vocal individuality.
• 🐦 This could overcome a major difficulty in bird surveying, where it's hard to tell if a bird has been heard before when relying solely on sound.