Cainthus software uses images to identify individual animals based on hide patterns and facial recognition, and tracks key data such as food and water intake, heat detection and behavior patterns. The software then delivers analytics that drive on-farm decisions that can impact milk production, reproduction management and overall animal health.
Cargill and Cainthus intend to first focus on the global dairy segment, but will expand to other species, including swine, poultry and aqua over the next several months.
This is interesting, but identifying livestock can be challenging due to the low information dimensions of their appearance/faces.
ReplyDeleteWhen I was working iris based person identification, another application tested was to identify racing horses by their iris.
at least the sample imagery hints for the researchers using patched breeds. their patches seem to be rather different from each other but persistent and thus recognizable.
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