Real-Time CCTV Based Garbage Detection for Modern Societies using Deep Convolutional Neural Network with Person-Identification

다국어 초록 (Multilingual Abstract)

Trash or garbage is one of the most dangerous health and environmental problems that affect pollution. Pollution affects nature,human life, and wildlife. In this paper, we propose modern solutions for cleaning the environment of trash pollution by enforcingstrict action against people who dump trash inappropriately on streets, outside the home, and in unnecessary places. ArtificialIntelligence (AI), especially Deep Learning (DL), has been used to automate and solve issues in the world. We availed this as anexcellent opportunity to develop a system that identifies trash using a deep convolutional neural network (CNN). This paperproposes a real-time garbage identification system based on a deep CNN architecture with eight distinct classes for the trainingdataset. After identifying the garbage, the CCTV camera captures a video of the individual placing the trash in the incorrectlocation and sends an alert notice to the relevant authority.