Method for efficient waste sorting and disposal using deep learning and internet of things sensors, involves making real-time adjustments to waste collection operations based on current status of waste materials, fill levels, and classification outcomes
	BEGAM S G; AMSAVALLI; SOUNDARIYA; PRIYA S; BANU A W
	2025-04-02
专利权人	BS CRESENT INST SCI & TECHNOLOGY ABDUR (BSCR-Non-standard)
申请日期	2025-04-02
专利号	IN202541032485-A
成果简介	NOVELTY - The method involves allocating classified waste material to the appropriate disposal or recycling stream according to a designated category. Internet of Things (loT) sensors are utilized to remote monitor the fill levels of waste bins or containers in real-time and relay the information to a central system. The data from loT sensors is analyzed to enhance the efficiency of waste collection routes and schedules for ensuring that collections occur promptly based on the fill levels of the containers. Real-time adjustments are made to waste collection operations based on the current status of the waste materials, fill levels, and classification outcomes. USE - Method for efficient waste sorting and disposal using deep learning (DL) and internet of things (IoT) sensors. Uses include but are not limited to plastics, metals, paper, organic matter, and non-recyclables. ADVANTAGE - The method enables transforming waste management industry by utilizing the capabilities of DL and IoT to automate and enhance both the sorting and disposal of waste, thus boosting efficiency, lowering operational expenses, and promoting environmental sustainability. The method enables using an automated sorting mechanism that minimizes human error and decreases the need for manual labor, resulting in improved accuracy in waste classification. The method enables using IoT sensors that keep track of waste bin fill levels and monitor waste collection vehicles in real-time, thus generating essential data for optimizing collection schedules and routes. The method enables improving operational efficiency, reducing environmental-impact and promoting sustainable waste management-practices, in urban areas. DETAILED DESCRIPTION - INDEPENDENT CLAIMS are also included for: A system for efficient waste sorting and disposal; and A computer-readable storage medium comprising a set of instructions for efficient waste sorting and disposal.
IPC 分类号	B65F-001/00 ; G06N-003/045 ; G06N-003/08 ; G06V-010/764 ; G06V-010/82
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13246
专题	中国科学院新疆生态与地理研究所
作者单位	BS CRESENT INST SCI & TECHNOLOGY ABDUR (BSCR-Non-standard)
推荐引用方式 GB/T 7714	BEGAM S G,AMSAVALLI,SOUNDARIYA,et al. Method for efficient waste sorting and disposal using deep learning and internet of things sensors, involves making real-time adjustments to waste collection operations based on current status of waste materials, fill levels, and classification outcomes. IN202541032485-A[P]. 2025.

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