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HoofcountModel PediVue - Lameness Detection System

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PediVue Lameness Detection System by Hoofcount addresses lameness, a prevalent animal welfare issue in dairy farming, affecting 25% of dairy cows nationally. The main contributors include diseases like digital dermatitis, sole ulcers, and white line disease. Hoofcount has collaborated with Agri Epi Centre on a government-funded R&D project to develop a cutting-edge detection method. This system employs a high-speed camera that captures critical moments as cows step away from the footbath, allowing for accurate detection. The project leverages machine vision and machine learning to tackle challenges in object detection and image classification in dynamic environments, enhancing data quality and variability for improved outcomes. Hoofcount's solution is integral to early lameness detection and prompt intervention, which are crucial for the effective management and treatment of lameness, saving farmers significant costs and improving animal welfare.
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See the PediVue in action

The high speed camera is carefully configured to freeze important moments of moving hooves as the cows step away from the footbath.

How Hoofcount is making a difference

“This project presents a unique set of challenges to machine vision and machine learning. Object detection and image classification ‘in the wild’ has always been considered a significant but fascinating challenge in the relevant literature. The solution to this has commonly been to increase data quantity, quality, and variability for machine learning.”