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Turning Trash into Treasure: Developing an Intelligent Bin for Plastic Bottle Recycling
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作者 Sirajam Munira Niloy Paul +2 位作者 md ashraful alam md.Mahmudur Rahman M.Shamim Kaiser 《Journal of Social Computing》 EI 2024年第1期1-14,共14页
Plastic pollution has emerged as a major global concern due to its enduring nature and limited recycling options.In response to this critical challenge,this paper presents a novel approach utilizing a Detection-Based ... Plastic pollution has emerged as a major global concern due to its enduring nature and limited recycling options.In response to this critical challenge,this paper presents a novel approach utilizing a Detection-Based Reward System(DBRS)alongside an innovative business model to promote effective plastic waste management,reduce plastic waste accumulation in the nature,and uphold environmental cleanliness.Leveraging the YOLOv5 algorithm for its exceptional accuracy,speed,and open-source availability,plastic bottle detection becomes a pivotal aspect of this system.Users seamlessly enroll in the system,triggering an automated detection process that computes reward points corresponding to their deposited plastic bottles.These reward points are meticulously stored within a centralized database.Beyond its operational facets,this comprehensive system encompasses a robust business model,strategically poised to capture widespread engagement with waste disposal practices,thereby contributing to the realization of Sustainable Development Goals(SDGs)geared towards fostering a healthier environment.Notably,the DBRS attains cutting-edge performance in plastic bottle detection,boasting an impressive mean Average Precision(mAP)of 0.973,underscoring its efficacy in tackling plastic pollution. 展开更多
关键词 smart environment reward system YOLOv5 deep learning business model
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