April 2020 – Press release from Ciklum
Ciklum, a leading global digital solutions company, has announced their partnership with RoBUTCHER, an EU-funded research project. Its goal is to find artificial intelligence solutions for the meat processing sector, by increasing automation accessibility, including adding scalability to varying production volumes and flexibility depending on demand and improving working conditions by reducing workers’ exposure to dangerous tasks such as working with cutting instruments and doing the heavy lifting.
RoBUTCHER is a European funded H2020 innovation project coordinated by the Norwegian University of Life Sciences (NMBU) that aims to improve the conventional line production in meat processing plants with parallel production in AI-assisted “Meat Factory Cells.” This partnership demonstrates Ciklum’s commitment to applying its robust deep learning and computer vision expertise to change and improve the way in which the European meat sector functions.
Our team draws on a wide range of technical and domain capabilities and experience to utilise computer vision techniques, 3D modelling and deep learning approaches to classify the parts of the carcass and facilitate autonomous cutting trajectory planning and integration with cooperative human-robot interfaces. This will help both small and medium-sized meat processors gain the tools to overcome existing technical obstacles, such as expense and lack of scalability, that prevent the integration of robotic automation systems. Anton Popov, Ph.D., Technical Lead – Artificial Intelligence and Deep Learning at Ciklum
RoBUTCHER has brought together ten European universities, industry partners, and research centres to develop an AI-assisted Meat Factory Cell (MFC) with high autonomy properties that will provide meat processors with the means to overcome technical obstacles such as the lack of scalability, robustness, and flexibility, that prevent automation systems from being utilized. Together, Ciklum and partners will work to bring automation project solutions to the meat processing industry.
An AI and data-driven approach to the food and agricultural industry will create opportunities for addressing workplace health and safety issues, improving processing efficiency by maximising yield and labour use, developing technologies for objective measurement of quality, as well as implementing broader business efficiencies. At Ciklum, we are immensely proud of the part we are playing to make this a reality. Hugh Simpson, Global Lead – Data & Analytics, A.I. & Industry 4.0 at Ciklum
The meat sector is one of the most important in EU agriculture, consisting of farmers, farmer cooperatives and abattoirs. In RoBUTCHER, the partners will work towards developing solutions to problems associated with line production in meat processing. We are excited to have Ciklum among the project partners, as this team comprises an essential mix of the scientific research expertise and the capacity to deliver the AI part of the solution for the end-users. Alex Mason, Project Coordinator, Faculty of Science and Technology
Ciklum is a global Digital Solutions Company for Fortune 500 and fast-growing organisations alike around the world. The company is headquartered in London and has engineering centres and branch offices in the United States, Spain, Switzerland, Denmark, Israel, Poland, Ukraine, Belarus, UAE and Pakistan. Ciklum builds tailored digital solutions that leverage emerging technologies for such clients as Metro Markets, Just Eat, Flixbus, Mercedes Pay, EFG International, Zurich Insurance, Lottoland and others.
RoBUTCHER is a European funded H2020 innovation project that aims to improve the conventional line production in meat processing plants with parallel production in autonomous, AI-assisted “meat factory cells.” The project has brought together ten European universities, industry partners, and research centres, and is coordinated by the Norwegian University of Life Sciences (NMBU). The MFCs’ ability to adapt to different processing volumes leads to greater flexibility and scalability, and with the aid of this MFC, automation solutions will be available not just to the largest meat producers, but to smaller producers as well. Because of this new cost-effective automation, local meat producers will find it easier to run a financially rewarding business. For additional information, visit https://alex-mason.me/
Elena Karchova (Kyiv) – email@example.com
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