Grant: Discovery Grants Program - Individual
University of Regina
$20,000.00
Design and Development of High-resolution Opto-mechatronic Systems.
EF 2016-17
Résumé
The standard definition of mechatronics is: ""an approach aiming at the synergistic integration ofmechanics, electronics, control theory, and computer science within product design and manufacturing, in order to improve and/or optimize its functionality"". The term Opto-mechatronics refers to a mechatronic system whose sensory information is mainly obtained via optical imaging. Incorporating vision sensors into the design of mechatronic systems will bring them to a quantum leap in terms of reliability, resolution, accuracy, and redundancy thanks to the recent developments in digital imaging and the offered computing power of the current processors. No sensory feedback is known to the man kind richer than vision. In fact, machine vision may well surpass most of the biological imaging sensors found in the animal kingdom. However, the complexity of the algorithms used in image processing, feature detection, pattern recognition/classification, and mapping prevents them from being utilized in some real-world applications. Therefore, there is always a trade-off between the resolution and speed. This proposal is a timely response to the world-wide need in formulating intelligent algorithms to replace the time-consuming brute-force techniques used by far.This proposal targets on the development of a cluster of algorithms for metric measurements fromsequential images. It also investigates optimal design of opto-mechatronic systems, by which these sequential images are taken, to achieve the utmost effect. The existing systems can provide only a fixed spatial resolution. Development of adaptive information filters and control techniques based on either learning methods or functional analysis techniques will be the main objective of this proposal. The proposed algorithms can keep the utility function in opto-mechatronic systems at its maximum level regardless of the differentials such as lighting condition, and the topological structure of the environment by changing system's configuration and parameters dynamically.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Saskatchewan, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
251136-2012
Name nom
Mehrandezh, Mehran
Department département
Engineering and Applied Science, Faculty of
Organization id
17
Institution établissement
University of Regina
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2012
Award amount
20000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1512
Committee name en
Mechanical Engineering
Committee name fr
Génie mécanique
Area of application code
1206
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Engineering
Area of application fr
Génie
Research subject code
2109
Research subject group en
Mechanical engineering
Research subject group fr
Génie mécanique
Research subject en
Mechanical systems and instrumentation
Research subject fr
Instrumentation et systèmes mécaniques
Partie
5
Nb partie
5
Application title
Design and Development of High-resolution Opto-mechatronic Systems.
Keyword
NSERC
Application summary
The standard definition of mechatronics is: ""an approach aiming at the synergistic integration ofmechanics, electronics, control theory, and computer science within product design and manufacturing, in order to improve and/or optimize its functionality"". The term Opto-mechatronics refers to a mechatronic system whose sensory information is mainly obtained via optical imaging. Incorporating vision sensors into the design of mechatronic systems will bring them to a quantum leap in terms of reliability, resolution, accuracy, and redundancy thanks to the recent developments in digital imaging and the offered computing power of the current processors. No sensory feedback is known to the man kind richer than vision. In fact, machine vision may well surpass most of the biological imaging sensors found in the animal kingdom. However, the complexity of the algorithms used in image processing, feature detection, pattern recognition/classification, and mapping prevents them from being utilized in some real-world applications. Therefore, there is always a trade-off between the resolution and speed. This proposal is a timely response to the world-wide need in formulating intelligent algorithms to replace the time-consuming brute-force techniques used by far.This proposal targets on the development of a cluster of algorithms for metric measurements fromsequential images. It also investigates optimal design of opto-mechatronic systems, by which these sequential images are taken, to achieve the utmost effect. The existing systems can provide only a fixed spatial resolution. Development of adaptive information filters and control techniques based on either learning methods or functional analysis techniques will be the main objective of this proposal. The proposed algorithms can keep the utility function in opto-mechatronic systems at its maximum level regardless of the differentials such as lighting condition, and the topological structure of the environment by changing system's configuration and parameters dynamically.