Ian de Medeiros Esper, Luiz Eduardo Cordova-Lopez, Dmytro Romanov, Ole Alvseike, Pål Johan From, Alex Mason

Published in Data in Brief, Vol. 41, April 2022

This paper presents a pig carcass cutting dataset, captured from a bespoke frame structure with 6 Intel® RealSense™ Depth Camera D415 cameras attached, and later recorded from a single camera attached to a robotic arm cycling through the positions previously defined by the frame structure. The data is composed of bags files recorded from the Intel’s SDK, which includes RGB-D data and camera intrinsic parameters for each sensor. In addition, ten JSON files with the transformation matrix for each camera in relation to the left/front camera in the structure are provided, five JSON files for the data recorded with the bespoke frame and five JSON files for the data captured with the robotic arm.

Bojan Blagojevic, Truls Nesbakken, Ole Alvseike, Ivar Vågsholm,  Dragan Antic,  Sophia Johler,  Kurt Houf, Diana Meemken, Ivan Nastasijevic, Madalena Vieira Pinto, Boris Antunovic, Milen Georgiev, Lis Alban

Published in Food Control, Vol. 124, June 2021

The traditional meat safety system has significantly contributed to public health protection throughout the last century. However, it has been recognised that this system suffers many flaws – the main being its limited ability to control the currently most important meat-borne hazards. The European Food Safety Authority evaluated meat inspection in the public health context, prioritised meat-borne hazards and proposed a generic framework for a new, risk-based meat safety assurance system. The proposed system aims to combine a range of preventive and control measures, applied at farms and abattoirs and integrated longitudinally, where official meat inspection is incorporated with producers’ food safety management systems into a coherent whole.

M. Sødring, T. Thauland Håseth, E. Rasten Brunsdon, P. H. Bjørnstad, R.
Sandnes, O. J. Røtterud, A. Mason, I. de Medeiros Esper, E. Hallenstvedt, P.
Agerup, K. Kåsin, B. Egelandsdal & O. Alvseike

Published in Acta Agriculturae Scandinavica, Section A — Animal Science (2022)

The Meat Factory Cell (MFC) concept restructures the slaughter line into cell stations and merges elements of the slaughter- and primal cutting processes. With the MFC approach, most of the primals are removed prior to evisceration. This study describes the effect of the MFC concept on carcass hygiene, carcass yield, meat quality traits, and sensory characteristics of selected MFC products from trials with the very first pig carcasses processed with the MFC approach. Results show that hygiene of MFC carcasses rivals conventionally slaughtered carcasses. For quality variables and sensory characteristics of selected MFC products, the study shows that the MFC approach will result in products that equal, and in some cases surpass, conventional products, provided that proper processing, packaging and chilling is applied.

Gunvor Elise Nagel-Alne, Emil Murphy, Brittany McCauslin, Sigrun J.Hauge, Dorte Lene Schrøder-Petersen, Janne Holthe, Ole Alvseike.

Published in Food Control 141 (2022)

Innovations are necessary to meet future challenges regarding sustainability, animal welfare, slaughter hygiene, meat safety and quality, not at least for optimal balance between these dimensions. The red meat safety legislation texts from Europe, New Zealand, USA, and global guidelines, were analysed for normative formulations (“how it is or should be done”) that may create non-intentional hurdles to innovation and new technology.

Dmytro Romanov, Olga Korostynska, Odd Ivar Lekang, Alex Mason

Published in Journal of Food Engineering vol. 331 (2022)

This article critically reviews automation challenges for robotic applications in the meat industry, among those are heterogeneity of meat pieces and inconsistency of cutting trajectories that must be overcome to achieve the final quality product. It specifically focuses on human-robot collaboration (HRC) that could be applied in the meat industry to address these challenges. The paper elaborates on possible adaptation of HRC in meat industry, based on its achievements in other industries.

A. Mason, D. Romanov, L. E. Cordova-Lopez, O . Korostynska

Published in Sensor Review 42/1 (2022)

Modern meat processing requires automation and robotisation to remain sustainable and adapt to future challenges, including those brought by global infection events. Automation of all or many processes is seen as the way forward, with robots performing various tasks instead of people. Meat cutting is one of these tasks. Smart novel solutions, including smart knives, are required, with the smart knife being able to analyse and predict the meat it cuts. This paper aims to review technologies with the potential to be used as a so-called “smart knife” The criteria for a smart knife are also defined.

O. Korostynska, A. Mason

Printed Edition of the Special Issue Published in Sensors (2021)

Water quality is one of the most critical indicators of environmental pollution and it affects
all of us. Water contamination can be accidental or intentional and the consequences are drastic unless the appropriate measures are adopted on the spot. This review provides a critical assessment of the applicability of various technologies for real-time water quality monitoring, focusing on those that have been reportedly tested in real-life scenarios.

S. Ross, O. Korostynska, L.E. Cordova-Lopez, A. Mason 

Published in Trends in Food Science & Technology Volume 119, January 2022

Highlights

• Overviews current red meat industry challenges that drive the need for automation.
• Why red meat slaughterhouse automation has not seen widespread automation adoption.
• Benchmark theoretical holding forces calculated for gripper suitability assessment.
• Review of unilateral robot grippers for use within a new pig slaughter process.
• To conclude simple vacuum systems, can potentially manipulate 40 Kg meat pieces.

Ian de Medeiros Esper, Pål J. From, Alex Mason

Published in Trends in Food Science & Technology 108 (2021)

Highlights

• Reviewed intelligent robotic systems that are being developed or are already available for the carcass cutting and deboning.
• Provides an overview of the current relevant automation in abattoirs.
• Presents Overview, Process and Critical review of research and commercial projects.
• Commercial products are Frontmatec AiRA Robots, Mayekawa Hamdas-RX, and SCOTT Automated Boning Room.
• Research are SRDViand Z-cut robotic system, ham deboning system and ECHORD-DEXDEB, and SINTEF GRIBBOT.
• Evaluate of production efficiency, worker’s health, hygiene standards, scalability to suit all production volumes.
• Investigate the adaptability of these systems to different production concepts, e.g., cell based factory.

Clara Valente, Hanne Møller, Fredrik Moltu Johnsen, Simon Saxegård, Elin Rasten Brunsdon, Ole Arne Alvseike

Published in Journal of Cleaner Production, Volume 272, 1 November 2022

This article presents a Life Cycle Sustainability Assessment of an innovative slaughter concept, i.e., a semi-automated version of the Meat Factory Cell (MFC). The system is characterised by division of labour with close human-robot interaction, as compared to a Conventional Slaughter and Cutting Process (CSCP). A case study is built which considers the conditions at a Norwegian slaughter facility. Several assumptions are made for the MFC as the concept is still in the development phase. A sensitivity analysis has been employed to highlight the key factors leading to changes in the environmental, economic and social aspects of the Life Cycle Sustainability Assessment framework.