Abstract
Several procedures have been proposed to overcome various challenges of product-content analysis after manufacturing and downstream automatad recycling pmcesws. These procedures have been restricted by factors such as the inabiiity to determine exactly the physical state of the hidden pm of End-of-Life products. This inhibition among others has rresldted into an explosion of solutions by researchers. This paper presents the initial investigations in the development of imaging software. The software supports a novel method of integrating scanned and digital imaging in material identification to overcome some of the existing shortcomings of automated rwycling processes. The description of the software-algorithm structure and its centrality in post-manufacturing and automated recycling processes concludes this paper.
Oluwafunti, S & Ali, M (2021). Developing an lmaglng Software for Automated Recycling Processes (Phase 1). Afribary. Retrieved from https://afribary.com/works/developing-an-lmaglng-software-for-automated-recycling-processes-phase-1
Oluwafunti, SIMOLOWO and Mousavi Ali "Developing an lmaglng Software for Automated Recycling Processes (Phase 1)" Afribary. Afribary, 15 May. 2021, https://afribary.com/works/developing-an-lmaglng-software-for-automated-recycling-processes-phase-1. Accessed 26 Apr. 2024.
Oluwafunti, SIMOLOWO, Mousavi Ali . "Developing an lmaglng Software for Automated Recycling Processes (Phase 1)". Afribary, Afribary, 15 May. 2021. Web. 26 Apr. 2024. < https://afribary.com/works/developing-an-lmaglng-software-for-automated-recycling-processes-phase-1 >.
Oluwafunti, SIMOLOWO and Ali, Mousavi . "Developing an lmaglng Software for Automated Recycling Processes (Phase 1)" Afribary (2021). Accessed April 26, 2024. https://afribary.com/works/developing-an-lmaglng-software-for-automated-recycling-processes-phase-1