Waste Segregation using IOT and ML
Author(s):
Hasan Ahmed Khan, Ahmed Abuzar, Mohammed Faaiz, Prof. Madhusudhana V
Keywords:
Abstract
To achieve recycling of mixed industrial waste toward an advanced sustainable society, waste sorting automation through robots is crucial and urgent. For this purpose, a robot is required to recognize the category, shape, pose, and condition of different waste items and manipulate them according to the category to be sorted. This survey considers three potential difficulties in the sorting automation: 1.End-effector: to robustly grasp and manipulate different waste items with dirt and deformations; 2.Sensor: to recognize the category, shape, and pose of existing objects to be manipulated and the wet and dirty conditions of their surfaces; and 3.Planner: to generate feasible and efficient sequences and trajectories. This survey includes references to studies related to automatic waste sorting and references to worldwide waste recycling attempts. This pioneering investigation reveals the possibility and limitations of conventional systems; thus, providing insights on open issues and potential technologies to achieve a robot-incorporated sorter for the chaotic mixed waste is one of its contributions. This paper further presents a system design policy for readers and discusses future advanced sorters, thereby contributing to the field of robotics and automation.
Article Details
Unique Paper ID: 164399

Publication Volume & Issue: Volume 10, Issue 12

Page(s): 679 - 682
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