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IoT-Based Aquatic Pollution Monitoring using Convolutional Neural Networks
2019
International Journal for Research in Applied Science and Engineering Technology
The continuously decreasing quality of drinking water is of great concern across the globe. Due to the incessant mixing of unprocessed industrial and domestic wastes, the contamination rate of water is rapidly increasing.The contaminations are of physical, organic, and chemical nature. Owing to this rise in pollution, the idea proposed is to build a model equipped with a visual device such as a camera, and other sensors, that by means of floating on water, can constantly monitorthe water body.
doi:10.22214/ijraset.2019.10081
fatcat:ahen3qojanflhny4t65klcgyai