Scalable, Autonomous and Continuous AI-based Video Monitoring to Improve Animal Welfare, Increase Performance and Reduce Carbon Footprint

DAIRYSCORE将提供一种可扩展的、自主的、持续的基于AI的机器视觉解决方案，用于奶牛跛行的早期检测。它将把农场摄像头拍摄的奶牛的实时画面输入视频分析容器，使用先进的神经网络从观察中提取知识，并计算牛群中每头奶牛的个体移动性得分。结果以可操作的见解的形式提供给奶农，通过基于网络的仪表板显示有多少奶牛目前是跛脚的，或者显示出可能发展成慢性跛脚的活动能力降低的症状。个体奶牛的时间序列数据使农民能够及早治疗受影响的动物，防止完全跛行的发生，并减少疾病的严重程度和持续时间。由于跛足动物处于痛苦之中，新陈代谢效率低下，导致牛奶产量降低，因此早期治疗还可以提高农场生产力，降低每升牛奶的温室气体排放量。

DAIRYSCORE will deliver a scalable, autonomous and continuous AI-based machine vision solution for the early detection of lameness in dairy cows. It will feed live footage of cows from on-farm cameras into a video analytics container, extract knowledge from observations using advanced neural networks and calculate individual mobility scores for every cow in a herd. The results are made available in form of actionable insights to the dairy farmer through a web-based dashboard showing how many cows are currently lame or show symptoms of reduced mobility that might develop into chronic lameness. Time series data on individual cows enable farmers to treat affected animals early, prevent the onset of full lameness and reduce the severity and duration of illness. As lame animals are in pain and have a less efficient metabolism leading to lower milk production, early treatment also improves farm productivity and lowers the greenhouse gas emissions per litre of milk produced.