Proposed Enhanced Object Recognition Approach for Accurate Bionic Eyes
AI has played a huge role in image formation and recognition, but all built on the supervised and unsupervised learning algorithms the learning agents follow. Neural networks have also a role in bionic eyes integration but it is not discussed thoroughly in this paper. The chip to be implanted, which is a robotic device that applies methods developed in machine learning, consists of large scale algorithms for feature learning to construct classifiers for object detection and recognition, to input in the chip system. The challenge however is in identifying a complex image, which may require combined processes of learning features algorithms. In this paper an experimented approaches are stated for individual case of concentration of objects to obtain a high recognition outcome. Each approach may influence one angle, and a suggested non-experimented approach may give a better visual aid for bionic recognition and identification, using more learning and testing methods. The paper discusses the different approached of kernel and convolutional methods to classify objects, in addition to a proposed model to extract a maximized optimization of object formation and recognition. The proposed model combines variety of algorithms that have been experimented in differed related works and uses different learning approaches to handle large datasets in training.
Keywords: Bionic eyes, image recognition, image processing, object recognition, learning machine
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ABOUT THE AUTHORS
Mohammad Shkoukani
Mohammad Shkoukani received his B.Sc. degree from Applied Science University, Amman, Jordan in 2002, M.Sc. and PHD degrees from The Arab Academy for Banking and Financial Sciences, Amman, Jordan, in 2004, and 2009 respectively, all in Computer Information Systems. His research interests include Agent Oriented Software Engineering, System Analysis and Design, and Electronic Commerce Applications.
Hesham Abusaimeh
Hesham Abusaimeh received his B.Sc. degree from Applied Science University, Amman, Jordan in 2003, and M.Sc. degree from New York Institute of Technology in 2004, both in computer His Ph.D. degree in computer science in the field of wireless sensor networks communication and routing protocols from Loughborough University, UK in 2009. His research interests include Network and Controls, Routing Protocols, Network Lifetime and Consumption Energy, wireless sensor networks, and web applications security.
Rawan Abu Lial
Rawan Abu Lail received her B.Sc. degree from Philadelphia University, Amman, Jordan in 2002, M.Sc. and Ph.D. degrees from Arab Academy for Banking and Financial Sciences, Amman, Jordan, in 2004 and 2009 respectively all in Computer Information Systems. Her research interests include Artificial Intelligence, Decision Support Systems, and Information Security.
Mays Khawaldeh
Mays Khawaldeh is currently pursuing her M.Sc. degree at Arab Academy for Banking and Financial Sciences, Amman, Jordan, in Computer Information Systems. Her research interests include Knowledge Based Systems and Knowledge Management.
Mohammad Shkoukani
Mohammad Shkoukani received his B.Sc. degree from Applied Science University, Amman, Jordan in 2002, M.Sc. and PHD degrees from The Arab Academy for Banking and Financial Sciences, Amman, Jordan, in 2004, and 2009 respectively, all in Computer Information Systems. His research interests include Agent Oriented Software Engineering, System Analysis and Design, and Electronic Commerce Applications.
Hesham Abusaimeh
Hesham Abusaimeh received his B.Sc. degree from Applied Science University, Amman, Jordan in 2003, and M.Sc. degree from New York Institute of Technology in 2004, both in computer His Ph.D. degree in computer science in the field of wireless sensor networks communication and routing protocols from Loughborough University, UK in 2009. His research interests include Network and Controls, Routing Protocols, Network Lifetime and Consumption Energy, wireless sensor networks, and web applications security.
Rawan Abu Lial
Rawan Abu Lail received her B.Sc. degree from Philadelphia University, Amman, Jordan in 2002, M.Sc. and Ph.D. degrees from Arab Academy for Banking and Financial Sciences, Amman, Jordan, in 2004 and 2009 respectively all in Computer Information Systems. Her research interests include Artificial Intelligence, Decision Support Systems, and Information Security.
Mays Khawaldeh
Mays Khawaldeh is currently pursuing her M.Sc. degree at Arab Academy for Banking and Financial Sciences, Amman, Jordan, in Computer Information Systems. Her research interests include Knowledge Based Systems and Knowledge Management.
