Turning Trash into Treasure: Developing an Intelligent Bin for Plastic Bottle Recycling  

作　　者：Sirajam Munira Niloy Paul Md Ashraful Alam Md.Mahmudur Rahman M.Shamim Kaiser 

机构地区：[1]Institute of Information Technology,Jahangirnagar University,Dhaka 1342,Bangladesh

出　　处：《Journal of Social Computing》2024年第1期1-14,共14页社会计算（英文）

摘　　要：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.

关 键 词：smart environment reward system YOLOv5 deep learning business model 

分 类 号：X705[环境科学与工程—环境工程]