Journal of Intelligent Systems and Internet of Things JISIoT 2690-6791 2769-786X 10.54216/JISIoT https://www.americaspg.com/journals/show/2686 2019 2019 Department of Computer Science and Engineering, Maharaja Surajmal Institute of Technology, New Delhi, India Aditi Aditi Department of Computer Science and Engineering, Maharaja Surajmal Institute of Technology, New Delhi, India Vikrant Shokeen Department of Information Technology, IMS Engineering College, Ghaziabad, UP, India Amit Sharma Department of Computer Science and Engineering, IMS Engineering College, Ghaziabad, UP, India Prabhat K. Srivastava Department of Computer Science and Engineering, Babu Banarasi Das University, Lucknow, India Upasana Dugal Department of Computer Science and Engineering, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India Aditi Sharma Waste management has been an issue due to low awareness among people of any country to lead major environmental contamination, tragic accidents, and unfavorable working conditions for landfill workers. The Lack of precise and efficient object detection could be a barrier in the growth of computer vision-based systems. As per the latest research articles, pre-trained models could be used for Trash Bin detection in real time and for recommending appropriate actions after detection. Using a unique validation dataset made up of predicted trash items, the two classes of acceptable object identification models, YOLO (You Only Look Once) and SSD (Single Shot Multibox Detector), are then contrasted. It is concluded that SSD performs noticeably better than YOLO in identifying trash objects based on several performance metrics computed utilizing multiple open-source research projects. The model is then built up to recognize several trash object types after being pre-trained using Microsoft's COCO (Common Objects in Context) dataset. Our initiative intends to enhance sustainable waste management, make trash sorting incredibly simple, and guard against serious illnesses and accidents at landfill and garbage disposal sites. 2024 2024 65 74 10.54216/JISIoT.120205 https://www.americaspg.com/articleinfo/18/show/2686