Abstract: Automation has led to the growth of industries in recent years. For better performance of industrial process automated machines are used. Image processing has led to advancements in applications of robotics and embedded systems. Sorting of waste are usually done by humans which takes a lot of time and effort. Using Computer Vision techniques, a conveyor belt system is developed using stepper, servo motors and mechanical structures, which can identify and sort various objects. This reduces human effort, time consumption. Application of image processing in industries has gained a lot of scope. The research on automation and robotics has shown importance in industries, defence, surveillance and security using image processing. Sorting of waste is one of the challenges faced by the industries. The main objective is to build a system that is capable of identifying and sorting various waste materials by using image processing. Image processing is the key to the robot sorting system. General object detection method should be fast, accurate, and can be applied for wide variety of objects. Object Recognition is the most important task in the computer vision field. The increasing demand for real time image processing, has led to a great deal of research in Object Recognition algorithms. The goal of object recognition is to automatically detect the objects in the screen and classify them according to their properties. This process is repeated for all the frames of the captured images.
Keywords: Automation, Image processing, conveyor belt system is developed using stepper, servo motors and mechanical structures, identify and sort various objects, Object Recognition algorithms, properties, waste sorting and management. .
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DOI:
10.17148/IJARCCE.2021.101019
