A team of researchers at Khalifa University of Science and Technology in Abu Dhabi have introduced a new technological solution that could bring significant progress in the field of recycling and waste management sustainably using artificial intelligence and machine systems. The solution sorts waste based on waste properties rather than relying solely on visual differences, contributing to addressing the plastic pollution issue and aligning with the UAE’s goal to dispose of 75% of waste in landfills.
The research team from Khalifa University, under the supervision of Dr. Khaled Askar, Assistant Professor in the Mechanical Engineering Department, collaborated with Cycle Technologies, specializing in recycling technology in the Middle East, in hosting a number of experts.
The research project aims, as a new step in combating plastic pollution and promoting sustainability, to change the waste management model in a circular manner to address one of the most pressing challenges globally, which is plastic pollution. This environmental issue gained significant attention during the Conference of the Parties (COP 28) held in the UAE.
In this context, Dr. Khaled stated: “This project raises awareness of recycling in the community by using waste to create value that contributes to reducing costs and environmental impacts. The project aligns with the UAE’s goal of disposing of 75% of waste in landfills, and this action is a critical factor in achieving this environmental goal, as the project enables direct and efficient waste tracking, paving the way for establishing a smart digital industry sector for full waste management.”
Dr. Khaled seeks to enhance the waste sorting technology capability in the plastic recycling sector by collaborating with Ayoola Primo and Shia Yun Lai, aiming to use convolutional neural network algorithms to process description data and detect the onset of plastic material surface pollution.
Ayoola Primo said: “We are pleased to collaborate with Khalifa University to change the approach to recycling and contribute to building a more sustainable future in line with our vision of developing a smart and environmentally responsible waste management sector. This research collaboration enhances the culture of innovation and technological advancement, reflects our commitment to providing sustainable solutions and striving for economic growth, addressing the plastic pollution crisis, and promoting sustainable waste management practices, a significant step towards progress in the environmental and economic landscape in the region.”
The program includes an initial model existing at the Resource Institute field station.
