Enhancing Poultry Welfare with AI - Multimodal Analysis for Laying Hens in the Egg Industry

Enhance poultry welfare with our groundbreaking AI-driven project! Traditional single-source monitoring systems fall short in assessing laying hen welfare. We're changing that by integrating auditory, visual, thermal, and environmental data to offer a comprehensive, real-time view of hen welfare.

Our Goals
Key Welfare Indicators: Identify the most critical parameters for hen well-being.
Advanced Monitoring Matrices: Develop robust frameworks for effective monitoring.
Decode Hen Vocalizations: Leverage AI to understand and analyze vocal patterns.

How We Do It
Using Artificial Intelligence (AI) and the Internet of Things (IoT), we analyze high-resolution video, thermal imaging, and environmental sensor data. This multi-dimensional approach provides deeper insights into hen behavior, stress indicators, and environmental conditions.

Innovative Techniques
Multidimensional Analysis: Correlate audio recordings with visual behaviors and thermal signatures.
Real-Time Insights: Employ machine learning to decode vocalizations and identify welfare patterns.
Controlled Experiments: Validate our approach at the Atlantic Poultry Research Institute.

Join our group at Dalhousie University in advancing poultry welfare! Our project not only enhances understanding but also promotes sustainable, precise, and automated management practices in the poultry industry, meeting both industry needs and consumer expectations.