Belfast-based livestock monitoring technology company CattleEye has raised 拢1.8 million seed investment.
CattleEye uses machine vision artificial intelligence to conduct automatic inspections and analysis for machinery.聽
The investment will be used to bring to market CattleEye鈥檚 autonomous livestock welfare and performance monitoring product. It says the technology will increase animal welfare levels and reduce carbon emission intensity by around 0.5 tonne per cow per year.聽
The first version of the product detects locomotion deviations, which are highly correlated to lameness in dairy cows and is thought to be the first of its kind to undergo successful academic validation by a leading UK university.聽
The results of this study, which are due to be released next month, will conclude that CattleEye 鈥渙utperformed an expert human鈥� in the detection of lesions in lame dairy cows.聽
CattleEye is lining up for commercial launch later this year and the technology is currently being used by a group of pioneer dairy farms along with UK retailers Tesco and Marks & Spencer.聽
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Many of the initial farms trialling the solutions have been reporting a dramatic reduction in lameness levels on their dairy farms in a surprisingly short time.
The funding comes from a syndicate led by Techstart Ventures and including Paris-based VC Seventure Partners and Turntide Technologies, a Silicon Valley venture backed by Amazon.聽
鈥淥ur company鈥檚 mission is to 鈥榯urn the tide鈥� on climate change and CattleEye fits that by reducing dairy cow carbon emission intensity using camera technology that requires no hardware or devices to be attached to a cow,鈥� said Ryan Morris, CEO of Turntide Technologies.
Terry Canning, CEO of CattleEye, said: 鈥淲e are really excited to be bringing the very latest in deep learning and artificial intelligence technology to one of oldest industries in world, livestock farming.聽
鈥淭his recent investment will give us the firepower to increase productivity, animal welfare and decrease the carbon footprint of millions of dairy cows across the globe.鈥�