NB-IoT based Visual Smart Waste Management System
Sikandar Zulqarnain Khan, Haigo Hein, Muhammad Mahtab Alam, Yannick Le Moullec, Sven Pärand · 2022
NB-IoT technology is characterized by e.g. wide coverage, massive connectivity, reduced device energy consumption, and lower device cost, making it a suitable choice for the Internet of Things (IoT) vision. With these NB-IoT provisions, this work presents an NB-IoT based visual Smart Waste Management System (SWMS) that involve the design and development of cost-effective visual smart bins with reduced complexity, low power consumption, and easy installation so as to retrofit the existing traditional bins. Thanks to NB-IoT, these smart bins provide long-range connectivity to a multitude of bins so they can trans-mit their visual data to a remote cloud server. Since the cloud server is a compute-intensive platform, it can further process these images through utilising appropriate image processing (IP), Artificially Intelligent (AI) and Machine Learning (ML) algorithms for efficient waste-management including waste-collection, waste-classification, waste-prediction, and waste-planning.