Novel autonomous recycling system

A. Al-Obaidi, K. Al-Ali, M. Rabia, K. Al-Khuffash, Y. Qaroot, K. Saleh, L. Lamont, E. Al-Hajeri, L. El-Chaar

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


The UAE government is actively attempting to lead the efforts of reducing CO 2 emissions by encouraging the process of recycling materials and implementing renewable energy sources. Currently, the collection of recyclable material is via different labeled bins which hold the materials. Even though such configuration is very cost effective, people tend not to follow instructions hence requiring the mixed materials inside the bin to be sorted after collection. Therefore, this paper proposes a system for autonomously identifying, handling, and sorting plastic, aluminum, and glass waste products. The system is intended to operate in an outdoor environment and therefore, solar energy technology is integrated as its primary power source. Many challenges are present in the system particularly in reliably identifying the various materials. Hence, an innovative material identification method was tested and implemented in the system. The method introduces the principle of recording, analyzing and identifying the recyclable materials from the sound effect generated when the object is dropped on a hard surface. The system was tested by throwing 300 samples of plastic, glass, aluminum with different shapes, sizes, and colors in both quiet and noisy environments. Out of 300 samples, only one sample was identified incorrectly which gives a success rate of 99.67%. Therefore, this system is an effective solution to reduce the cost and time required in the recycling process.

Original languageBritish English
Title of host publicationSPE Middle East Health, Safety, Security and Environment Conference [MEHSSE] (Abu Dhabi, UAE, 4/2-4/2012) Proceedings
StatePublished - 2012


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