Abstract:
Efficient waste sorting poses significant challenges, particularly in developing
nations like Sri Lanka, where manual separation demands substantial labour. This
research introduces an innovative solution to revolutionize waste sorting by integrating
computer vision (CV) and robotic technologies. The proposed system features a
mechanical core comprising a conveyor belt for controlled waste movement and an
advanced object placing mechanism for accurate sorting. An extensive image database
facilitates the identification and categorization of waste objects, overcoming the
limitations of traditional sensor-based approaches. A multi-jointed robotic arm with a
sophisticated gripper automates manual tasks, enhancing efficiency and reducing
dependency on human labour. The system's advantages are multifaceted, encompassing
reduced operational costs, maximized resource recovery through effective recycling, and
minimized environmental impact. Moreover, by promoting a safer working environment
for waste pickers and aligning with principles of environmental justice, the system
contributes to improved public health outcomes. The research presents a scalable and
adaptable solution for waste management in developing nations, promising cleaner
environments, healthier communities, and a more sustainable future. Its implications
extend globally, offering a model for addressing waste management challenges across
diverse contexts. In conclusion, this innovative approach signifies a significant step
forward in waste sorting, promising lasting positive impacts on waste management
practices and environmental sustainability.
