Dr Fabio Caparrelli has a 15-year post-doctoral academic career during which he has worked and gained experience in research, teaching, consultancy and knowledge transfer. In the research field, he has worked in the preparation, delivery and co-ordination of collaborative EU research projects in the fields of Computer Vision, Mobile Robotics and Intelligent Systems. He has also taught at undergraduate and postgraduate level, supervising a large number of MSc, PhD and Erasmus students. He currently works with the industry through consultancy and knowledge transfer schemes, providing R&D support and developing projects for regional SME’s.
Dr Fabio Caparrelli is a Senior Research Fellow and Research & Business Development Consultant with the Materials and Engineering Research Institute (MERI) since 2000. He has a “laurea” degree in Electronic Engineering from the Universita` degli Studi di Roma “Tor Vergata” (Italy) and a PhD degree in Computer Vision from the University of Sheffield (UK). Before moving to Sheffield Hallam University, he worked as a Research Associate with the Electrical Machines and Drives Research Group at Sheffield University. He currently works as an Engineering consultant for manufacturing and other related industries in the Yorkshire and Humberside region in the areas of automation and machine vision based inspection but is also active in Academic Research, Teaching and Knowledge Transfer activities.
Arts, Computing, Engineering and Sciences
Final year projects currently available:
• Control of a small mobile robot using a wifi enabled smartphone;
• Image and video streaming from a mobile robot using gstreamer;
• Mobile robot navigation using on-board multiple cameras;
• Gesture control of a small mobile robot using a Leap Motion device;
• Gesture control of a small mobile robot using Myo armband device;
• Gesture control of mobile robots using wearable embedded devices;
• Design of a wrist worn smart device based on a 40x40mm ARM based embedded board.
Dr Caparrelli offers the following Continuing Professional Development courses to the industry:
1. Introduction to machine vision and the opportunities in the food industry
Duration: 2.5 hours
Machine Vision is the application of computer vision to industry and manufacturing. It can be used to monitor a production line, detect faults, automate certain aspects of an industrial process as well as provide quality control. In particular, in the food engineering industry, machine vision can be employed to control machines used in the food production and for the inspection of foodfor quality control purposes. It can also be used for food sorting and grading.
This workshop will introduce the main concepts of image processing and computer vision and how these are typically integrated in a machine vision system used in an industrial application. A number of different case studies in the food industry will be presented to give an opportunity to food practioners and managers to understand how relevant image processing and computer vision technologies are applied and to demonstrate important issues that need to be taken into account during any implementation.
2. Machine vision algorithms and coding techniques
Duration: 4.5 hours
This workshop is divided into two parts. The first part will introduce some typical image processing algorithms (eg filtering, segmentation and morphology ) as well as computer vision algorithms (eg feature detection and object location) that are generally employed in a machine vision system in an industrial application. Particular focus will be given to the food industry.
The second part of the workshop will provide some hand-on examples of computer vision programming. The attendees will be guided through a step by step tutorial and will be asked to implement and run some of the algorithms presented in the first part.
3. Machine vision and embedded systems programming and implementation
Duration: 4.5 hours
This workshop is also divided into two parts. The first part will present an overview of embedded systems that can be used as the brain unit of a machine vision system. In the last few years, the market has seen a vast increase in the availability of very inexpensive yet very powerful embedded systems (or computers on a board) that are used not only by electronics hobbyists but also in the industry as a valid alternative to a fully featured desktop PC or laptop. Examples will be given on how these systems interface with small sized cameras to create an all-in-one embedded vision system.
The second part will provide the attendees with a guided tutorial and hand-on examples of how to build an embedded vision system from off-the-shelf components and employ it in a simple machine vision task.
- Materials and Engineering Research Institute
Research positions held:
• 2008-13: local co-ordinator and grant holder of the EU FP7-ICT Replicator project.
• 2004-07: local project co-ordinator of the EU FP6-IST I-SWARM project
• 2002-05: local project co-ordinator of the EU FP5-IST MiCRoN project
• 2000-02: local project co-ordinator of the EU ESPRIT IV MINIMAN project
• 2001: co-founder of the Microsystems and Machine Vision Lab (MMVL) research group
Main research achievements and skills:
• Developed internationally competitive research in applied computer vision, mobile robotics and intelligent systems.
• Developed relevant research links at both national and international level.
• Acquired a large network of academic contacts in Europe through the European Framework Programme.
• Co-author of 3 successful European research grant proposals, generating a total income of about £1.25M.
• Author of high standard publications of international value (25+ journal and conference papers).
• Supervisor of 4 PhD students, one MPhil student and several (15+) MSc students.
• Management of a project budget of over £500k.
• Line manager of 3 research associates.
• Worked in a number of cross disciplinary research projects, collaborating with researchers from Sports Engineering, Social and Cultural Sciences, Arts and Design, Communication and Computing.
• computer vision
• swarm and mobile robotics
• embedded vision systems
• embedded systems and programming
• open source software and systems
• wireless technologies
• computer networks
• wireless technologies
• MiCRoN research project (EU FP5-IST programme, contract no. IST-2001-33567). Total value for SHU: ~£350k.
• I-SWARM research project (EU FP6-IST programme, contract no. 507006). Total value for SHU: ~£350k.
• Replicator research project (EU FP7-ICT programme, contract No: 216240). Total value for SHU: ~£550k.
PhD titles currently available:
• Distributed image processing and vision for mobile robot navigation and mapping.
• Gesture control of mobile robots using wearable embedded devices.
• A portable computer vision system for biomechanical analysis in sport performance.
LEVI, P, MEISTER, E, VAN ROSSUM, AC, KRAJNIK, T, VONASEK, V, STEPAN, P, LIU, W and CAPARRELLI, Fabio (2014). A cognitive architecture for modular and self-reconfigurable robots. In: Systems Conference (SysCon), 2014 8th Annual IEEE. IEEE, p. 465.
PETRELLI, Daniela, DULAKE, Nick, MARSHALL, Mark, WILLOX, Matt, CAPARRELLI, Fabio and GOLDBERG, Robin (2014). Prototyping tangibles : exploring form and interaction. In: TEI '14 : Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction. ACM, 41-48.
CIOLFI, Luigina, PETRELLI, Daniela, GOLDBERG, Robin, DULAKE, Nick, WILLOX, Matt, MARSHALL, Mark and CAPARRELLI, Fabio (2013). Exploring historical, social and natural heritage: challenges for tangible interaction design at Sheffied General Cemetery. Proceedings of NODEM 2013.
CIOLFI, Luigina, PETRELLI, Daniela, GOLDBERG, Robin, DULAKE, Nick, WILLOX, Matt, MARSHALL, Mark and CAPARRELLI, Fabio (2013). Exploring historical, social and natural heritage: challenges for tangible interaction design at Sheffield General Cemetery. In: NODEM 2013 : Beyond control - the collaborative museum and its challenges, Stockholm, Sweden, 1-3 December 2013.
AHMED, M Shuja, SAATCHI, Reza and CAPARRELLI, Fabio (2013). An Efficient Approach To Object Recognition For Mobile Robots. In: BENAVENTE-PECES, Cesar and FILIPE, Joaquim, (eds.) Proceedings of the 3rd International Conference on Pervasive Embedded Computing and Communication Systems. Scitepress, 60-65.
AHMED, M Shuja, SAATCHI, Reza and CAPARRELLI, Fabio (2013). Implementation Of Distributed Mosaic Formation And Object Detection In Modular Robotic Systems. In: Proceedings of the 3rd International Conference on Pervasive Embedded Computing and Communication Systems. Scitepress, 135-138.
AHMED, M. Shuja, SAATCHI, Reza and CAPARRELLI, Fabio (2012). Support for robot docking and energy foraging - a computer vision approach. In: BENAVENTE-PECES, César, ALI, Falah H. and FILIPE, Joaquim, (eds.) Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems. SciTePress, 123-128.
AHMED, M. Shuja, SAATCHI, Reza and CAPARRELLI, Fabio (2012). Vision based object recognition and localisation by a wireless connected distributed robotic systems. Electronic Letters on Computer Vision and Image Analysis, 11 (1), 54-67.
AHMED, M. Shuja, SAATCHI, Reza and CAPARRELLI, Fabio (2012). Vision based obstacle avoidance and odometery for swarms of small size robots. In: BENAVENTE-PECES, César, ALI, Falah H. and FILIPE, Joaquim, (eds.) Proceedings of the 2nd International Conference on Pervasive Embedded Computing and Communication Systems. SciTePress, 115-122.
KERNBACH, Serge, SCHOLZ, Oliver, HARADA, Kanako, POPESKU, Sergej, LIEDKE, Jens, RAJA, Humza, LIU, Wenguo, CAPARRELLI, Fabio, JEMAI, Jaouhar, HAVLIK, Jiri, MEISTER, Eugen and LEVI, Paul (2010). Multi-Robot Organisms: State of the Art. In: 2010 IEEE International Conference on Robotics and Automation (ICRA2010), Anchorage, Alaska, 3-8 May 2010. (Unpublished)
MCKIBBIN, S. P., AMAVASAI, B., SELVAN, A. N., CAPARRELLI, F. and OTHMAN, W. (2008). The role of sensory-motor coordination: identifying environmental motion dynamics with dynamic neural networks. In: ICINCO 2008, Proceedings of the Fifth International Conference on Informatics in Control, Automation and Robotics, Robotics and Automation 2, Funchal, Madeira, Portugal, May 11-15, 2008.
MCKIBBIN, S., AMAVASAI, B., SELVAN, A., CAPARRELLI, Fabio and OTHMAN, W. (2007). Recurrent neural robot controllers: feedback mechanisms for identifying environmental motion dynamics. Artificial intelligence review, 27 (2-3), 113-130.
OTHMAN, Wafw, AMAVASAI, B. P., MCKIBBIN, S. P. and CAPARRELLI, Fabio (2007). An analysis of collective movement models for robotic swarms. In: International Conference on Computer as a Tool (EUROCON 2007), Warsaw, Poland, September 9-12, 2007.
WEDEKIND, Jan, BOISSENIN, Manuel, AMAVASAI, Balasundram P., CAPARRELLI, Fabio and TRAVIS, Jon R. (2006). Object recognition and real-time tracking in microscope imaging. In: Proceedings of the 2006 Irish Machine Vision and Image Processing Conference (IMVIP 2006). Dublin, Vision System Group, 164-171.
AMAVASAI, B. P., CAPARRELLI, Fabio, SELVAN, A,, BOISSENIN, M., TRAVIS, J. R. and MEIKLE, S. (2005). Machine vision methods for autonomous micro-robotic systems. Kybernetes, 34 (9-10), 1421-1439.
MEIKLE, S., AMAVASAI, B. P. and CAPARRELLI, Fabio (2005). Towards real-time object recognition using pairs of lines. Real-Time Imaging, 11 (1), 31-43.
Dr Caparrelli has worked in a number of European Regional Development Fund (ERDF) programmes, such as Routes to Innovation, Innovation Futures and the Yorkshire Innovation Fund, providing R&D support and developing projects for regional SME’s. He has also worked in Knowledge Transfer Partnerships (KTP) together with the local industry.
He currently provides engineering consultancy services to the local industry in the following areas:
• machine vision;
• automation and robotics;
• bespoke embedded systems;
• software and hardware for industry;
• computer programming and networking;
• embedded systems programming;
Project case studies:
• Innovative golf putting green to enhance customer appeal and usability.
• A machine vision system for the monitoring of CNC machine tooling using inexpensive hardware.
Are you sure you want to cancel your place on Saturday 12 November?