Browsing by Author "Mousavi, A."

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    A computer-based product classification and component detection for demanufacturing processes
    (Taylor & Francis, 2011) Simolowo, O. E.; Mousavi, A.; Adjapong, P. O.
    The aim of this paper is to propose a novel computer- based product classification, component detection and tracking for demanufacturing and disassembly process. This is achieved by introducing a series of automated and sequential product scanning, component identification, image analysis and sorting-leading to the development of a bill of material (BOM). The produced BOM can then be associated with relevant disassembly/ demanufacture proviso. The proposed intergrated image sorting and product classification (ISPC) approach can be considered as a step forward in automation of demanufacturing activities. The ISPC model proposed in this paper utilises and builds on the state-of-the-art technology and current body of research material and the factors that inhibits CIDR methods in practice are presented. A novel solution for the integration of imaging and material identification techniques to overcome some of the existing shortcomings of automated recycling processes is proposed in this paper. The proposed product scanning and component detection ISPC software consists of four distinct models:the repertory database, the search engine, the product-attributes updater and the image sorting and classification algorithm. The software framework that intergrates the components is presented in this paper. Finally, an overall assessment of applying ISPC at various stages of CIDR processes concludes the article.
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    Developing an imaging software for automated recycling processes (phase 1)
    (2012) Simolowo, O. E.; Mousavi, A.
    Several procedures have been proposed to overcome various challenges of product-content analysis after manufacturing and downstream automated recycling processes. These procedures have been restricted by factors such as the inability to determine exactly the physical state of the hidden parts of End-of-life products. This inhibition among others has resulted into an explosion of solutions by researchers. This paper presents the initial investigations in the development of imaging software. The software support a novel method of integrating scanned and digital imaging in material identification to overcome some of the existing shortcomings of automated recycling processes. The description of the software-algorithm structure and its centrality in post-manufacturing and automated recycling processes concludes this paper