An intelligent Ama safety protection system based on smart IoT data and deep learning

Ama is a challenging and risky profession. The income of this profession is highly dependent on the weather and the tides. Although technology can conveniently assist Ama in checking weather and tide information, no platform currently integrates both and performs analysis for Ama’s reference. Therefore, this study developed a system that uses data from the Central Weather Bureau and the Open Data Platform for Meteorological Data to build a dedicated database for integrated analysis. After obtaining the coastal hazard prediction results through algorithms and Recurrent Neural Networks, the information is displayed in an APP for the user’s reference. The APP also records the user’s current location, and if any danger occurs, it can report to the rescue unit through the APP. The rescue unit can know the location through the web page and proceed with the rescue.