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In addition to indiscriminate waste disposal, non-cleaning of residential, business, and governmental environments is also a major part of the environmental challenges faced by many countries across the globe, especially developing countries in Asia and Africa. Most of these countries have proper environmental laws and policies, but they are inactive. In Nigeria, factors such as corruption, inadequacy of environmental impact assessment, ignorance, limitations of the legal framework, institutional bottlenecks, inadequacy of funding, and insufficient use of technology significantly make the environmental laws ineffective. Some states in Nigeria, like Kano, Lagos, Enugu, e.t.c., are organizing compulsory monthly sanitation exercises on the last Saturday of every month to clean up the streets, commercial, residential, educational, and government environments. Most people, however, did not participate in the exercise, and due to the large size of the cities and an insufficient number of sanitation exercise supervisors, the government, in some cases, found it very difficult to know which places were cleaned up and which were not. In this research, we developed a new environmental sanitation monitoring system using drones, artificial intelligence, and an alert system
Drone, Sanitation, Deep Learning, Artificial Intelligence, Environment
Drone, Sanitation, Deep Learning, Artificial Intelligence, Environment
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