Environmental Sanitation Monitoring System Using Drone and Artificial Intelligence
Authors/Creators
- 1. Robotics & AI Research Lab, Department of Electrical/Electronic Engineering Technology, Kano StatePolytechnic, Nigeria
- 2. University of Grenoble Alpes, France
Description
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
Files
GJRECS250153.pdf
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