University of Malta
 

High Performance Imaging
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Externally Funded Research in Imaging Technology

MEMENTO

Project Duration: 36 months,  Start: 2016-04-01,  End: 2019-03-31
Funding Source: MCST R&I Fusion 2015 (R&I-2015-024-T)
Project Size: €210,200
UoM Workshare Value: €150,000
Principal Investigator: Dr Ing. Marc Anthony Azzopardi 
Lead Developer: Mr. Andre Micallef

Memento Banner

MEMENTO (Multi camEra high fraMe ratE syNchronisaTiOn) is the Electronic Systems Engineering Department’s first initiative at commercialisation of home-grown electronics technology. After two successful rounds of research into high frame-rate vision hardware, and the completion of detailed commercial feasibility studies, the time has come to offer the technology with a range of products, and a sound business proposition that fills an existing gap in the high performance vision market. This product will address the problem of high precision synchronisation that arises between coupled cameras working at thousands, or even millions of frames per second. This will enable capturing transient events from multiple angles. 

Applications of this technology include the scientific study of fracture propagation, droplet formation, combustion wave fronts or high speed impacts which are all ideally observed and analysed from different angles of view for maximum information capture. Such vision equipment needs to be easily adaptable for a wide variety of use cases. The ability to synchronize multiple cameras precisely enables a wide range of technical possibilities such as 3D reconstruction, multi-camera resolution-augmentation, frame interleaving, and real-time stitching of video footage for the creation of larger fields of view than would otherwise be possible with any single high speed vision camera.

The University of Malta already holds intellectual property in this domain (WO/2010/029040). However, through this project the technology will be polished to a high technology readiness level (TRL) and brought in line with market expectations. MST Audio Visual Ltd, an established local media-engineering consultancy is partnering with the University to push this technology to its limits.

SENSATION (Link

Project Duration: 48 months,  Start: 2004-01-01,  End: 2007-12-31
Funding Source: EC Framework Protocol 6 (FP6)
Project Size: €16,440,000 
UoM Workshare Value: €350,000
Principal Investigator: Prof. Ing. Joseph Micallef
Lead Developer: Dr Ing. Marc Anthony Azzopardi 

Sensation Banner 

Sleep loss, excessive fatigue, stress and inattention constitute the social diseases of our century. Within the "24 hour society" people tend more and more to exchange sleep and serenity for gain or pleasure. This gradually leads to an excessive rate of sleep disorders. Roughly 20% of the population suffer from one such disorder, at least mildly or temporarily, leading to a proliferation of stress and anxiety related diseases. In addition, a significant percentage of severe traffic and industrial accidents seem to be caused by the involuntary human transition from wakefulness to sleep or by prolonged inattention.

SENSATION investigated a wide range of micro and nano sensor technologies, with the aim to achieve unobtrusive, cost-effective, real-time monitoring, detection and prediction of human physiological state in relation to wakefulness, fatigue and stress anytime, everywhere and for everybody. Thus, the different states of human brain were analysed and 17 micro sensors and 2 nano sensors were developed. They include brain monitoring, wearable, eye-related posture and motility and autonomic functions sensors; all wirelessly integrated through a body/local/wide area network. These sensors were also combined into medical systems for medical diagnosis and treatment. They were finally integrated in a system for operator's hypovigilance detection and prediction, to be used in various industrial operations and environments.

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Last Updated: 8 March 2016

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