AI-based stunner monitoring
Our vision-based AI solution provides a robust method for monitoring animal welfare during the stunning process in commercial abattoirs.
By measuring activity levels through frame-to-frame pixel velocity analysis, our system delivers objective, consistent and quantifiable data on animal responses during this critical phase.
Evidence-Based Benefits
The research has been published in a peer-reviewed paper which demonstrates that AI-powered monitoring can effectively quantify animal welfare parameters even under challenging commercial conditions with high stocking densities. We found that stocking density significantly affects both induction time and activity levels during CO2 stunning, with higher densities resulting in more vigorous responses and longer induction periods.
How can it benefit you?
Regulatory compliance: Demonstrate adherence to animal welfare regulations with objective documentation
Process optimisation: Identify factors affecting stunning efficiency and animal welfare
Quality assurance: Consistent monitoring ensures standardised procedures across operations
Evidence-based improvements: Data-driven approach to welfare enhancements
Commercial advantage: Meet increasing consumer and retailer demands for welfare assurance
Versatile Applications
Our AI monitoring system is suitable for:
Comparing different stunning methods under commercial conditions
Establishing baseline welfare parameters for your specific operation
Routine monitoring to detect deviations from normal patterns
Evaluating the impact of procedural changes on welfare outcomes
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