AI3SD Video: Smart Cleaning & COVID-19
AI3SD Video: Smart Cleaning & COVID-19
Industrial Digital Technologies (IDTs) such as robotics, AI and IoT are transforming manufacturing worldwide with significant productivity, efficiency and environmental sustainability benefits. This digital revolution is often labelled Industry 4.0 and at its heart is the enhanced collection and use of data. The food and drink sector has been slow to adopt IDT’s for a variety of reasons including the availability of cost effective sensing technologies, capable of operating in production environments. This presentation will discuss the use of IDTs within the important task of food factory cleaning. It will cover the benefits and challenges of deploying robots, sensors and machine learning technologies for factory cleaning tasks in addition to the ever growing importance of effective factory cleaning during a global pandemic.
AI, AI3SD Event, Artificial Intelligence, Food, Internet of Things, IoFT, IoT, Machine Intelligence, Machine Learning, Manufacturing, ML, Robotics, Smart Cleaning, Technology
Watson, Nicholas
874c17ab-310f-433d-84bb-d614216f2782
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Niranjan, Mahesan
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Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
26 August 2020
Watson, Nicholas
874c17ab-310f-433d-84bb-d614216f2782
Kanza, Samantha
b73bcf34-3ff8-4691-bd09-aa657dcff420
Frey, Jeremy G.
ba60c559-c4af-44f1-87e6-ce69819bf23f
Niranjan, Mahesan
5cbaeea8-7288-4b55-a89c-c43d212ddd4f
Hooper, Victoria
af1a99f1-7848-4d5c-a4b5-615888838d84
Watson, Nicholas
(2020)
AI3SD Video: Smart Cleaning & COVID-19.
Kanza, Samantha, Frey, Jeremy G., Niranjan, Mahesan and Hooper, Victoria
(eds.)
AI3SD Summer Seminar Series 2020, Online, Southampton, United Kingdom.
01 Jul - 23 Sep 2020.
(doi:10.5258/SOTON/P0057).
Record type:
Conference or Workshop Item
(Other)
Abstract
Industrial Digital Technologies (IDTs) such as robotics, AI and IoT are transforming manufacturing worldwide with significant productivity, efficiency and environmental sustainability benefits. This digital revolution is often labelled Industry 4.0 and at its heart is the enhanced collection and use of data. The food and drink sector has been slow to adopt IDT’s for a variety of reasons including the availability of cost effective sensing technologies, capable of operating in production environments. This presentation will discuss the use of IDTs within the important task of food factory cleaning. It will cover the benefits and challenges of deploying robots, sensors and machine learning technologies for factory cleaning tasks in addition to the ever growing importance of effective factory cleaning during a global pandemic.
Video
AI3SDOnlineSeminarSeries-8-NW-260820
- Version of Record
More information
Published date: 26 August 2020
Additional Information:
Nick is an Associate Professor of Chemical Engineering. He has a PhD in engineering and spent four years as a researcher in the School of Food Science and Nutrition at the University of Leeds before joining Nottingham in 2014. Nik’s research is focussed on digital manufacturing within the food and drink sector and his team develops intelligent sensor technologies to tackle some of the biggest challenges around sustainability, food safety, hygiene and productivity. A focus of Nik’s research is developing sensor and data analysis methods that work effectively in challenging food production environments and can be integrated with other key industrial digital technologies such as AI, Robotics and the Industrial Internet of Things. Nik has led projects investigating how sensors and data analytics can be used to reduce the cost and environmental impact of industrial cleaning processes and unit operations such as fermentation and mixing. Nik is currently a member of the EPSRC Early Career Forum in Manufacturing Research, on the Food Standards Agency register of experts and a Co-Investigator on the EPSRC digital manufacturing network: Connected Everything 2.
Venue - Dates:
AI3SD Summer Seminar Series 2020, Online, Southampton, United Kingdom, 2020-07-01 - 2020-09-23
Keywords:
AI, AI3SD Event, Artificial Intelligence, Food, Internet of Things, IoFT, IoT, Machine Intelligence, Machine Learning, Manufacturing, ML, Robotics, Smart Cleaning, Technology
Identifiers
Local EPrints ID: 447163
URI: http://eprints.soton.ac.uk/id/eprint/447163
PURE UUID: 68df05c1-7521-4ea0-9467-e678cc350df7
Catalogue record
Date deposited: 04 Mar 2021 17:39
Last modified: 17 Mar 2024 03:51
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Contributors
Author:
Nicholas Watson
Editor:
Mahesan Niranjan
Editor:
Victoria Hooper
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