Optimizing waste collection in Yaoundé: waste collection and management application
Keywords: Geographic information system, sensors, microcontrollers, artificial intelligence, algorithm, waste, air pollution, carbon footprint
TL;DR: This article presents a waste collection system that aims to improve the efficiency and ecological impact of waste management.
Abstract: This article presents a waste collection system that aims to improve the efficiency and ecological impact of waste management. This system relies on the use of microcontroller sensors and artificial intelligence to measure the fill level and weight of waste in collection bins, providing alerts and optimized routes to waste collectors. With this system, waste collectors can reduce fuel costs, travel costs and thus, reducing the overall carbon footprint of their activity. In addition, it will allow data retention for later analysis.
Submission Category: Machine learning algorithms
Submission Number: 42
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