Vision Inspection System For Sorting Application

Low, Shee Teng (2020) Vision Inspection System For Sorting Application. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Nowadays, waste management challenges have been one of the major issues that people have been facing. Recycling is one of the strategies that most governments around the globe, including Malaysia, tend to prioritize and adopt to deal with this problem. In Malaysia, human beings make most of the difference from waste to be recovered. Nonetheless, several problems arise due to hygienic exhaustion, increased labor expenses and overloading of waste due to poor improvement in the physical separation of waste. When it comes to waste management or recycling in overseas countries, most waste systems require state-of-the-art technology. An idea is therefore developed for applying waste management approaches using technologies to maximize profitability°, performance and reduce the time required to identify the waste. Utilization of a vision inspection system to separate different types of waste packed for beverages on different materials of different sizes to demonstrate solutions for waste separation. The waste spectrum is limited to three forms of drink packaging waste normally produced in Malaysia. In order to distinguish drink packaging through vision inspection, a series of image processing algorithms is created. Techniques of image processing, like image filtering, morphology, flood filling, edge detection and contour detection are used to differentiate the form of drink packaging. In the meantime, different contour area, centro id value and perimeters for various types of drinking package, which demonstrate that the vision inspection system can be used in classifying the different material type from drinking packaging according to different sizes. The contour area for plastic bottle is 237656.0 pixels, centroid coordinate is at Cx=I032, Cy=510 and the perimeter is 6385.718812823296 pixels. For paper carton bottle, the area 491889.0 pixels, centroid is Cx=l061 , Cy=546 dan perimeter is 5035.7568155527115 pixels. The area, centroid value and perimeter for aluminum can is 229176.0 pixels, Cx=l 139, Cy=549 and 5040.961124300957 pixels.

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