Low-cost IoT-based system developed to forecast floods in developing countries

Source(s): Nikkei Asian Review, Nikkei Inc

By Shiori Goso

A team of researchers at the Advanced Institute of Industrial Technology has developed a low-cost system to predict river flooding for developing countries, using "internet of things" technology to collect and analyze massive amounts of data from sensors placed along rivers.

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The system is based on a monitoring device with an ultrasound sensor that measures water levels, instruments to gauge temperature and humidity, and a camera, along with a low-cost Raspberry Pi microcomputer to process the data. A large number of the devices will be placed at strategic locations along rivers, and data from them will be sent to the cloud-based system. Accessed via a computer, the data will be displayed on an on-screen map in real time.

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