| Grant number: | 22/09644-7 |
| Support Opportunities: | Regular Research Grants |
| Start date: | February 01, 2023 |
| End date: | January 31, 2025 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computer Systems |
| Principal Investigator: | Jó Ueyama |
| Grantee: | Jó Ueyama |
| Host Institution: | Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil |
| Associated researchers: | Caetano Mazzoni Ranieri ; Maria Mercedes Gamboa Medina |
Abstract
This project aims to explore the multimodal approach for detecting and predicting floods. By multimodal, we mean that different sensing approaches will be explored to monitor urban rivers. The first sensor to be considered is an infrared sensor to measure the water level of the water stream. The second sensor are video cameras that capture images of the river in real-time, which are analyzed later. The third sensor is a barcode, which is being studied. The fourth consists of the use of artificial intelligence in monitoring urban rivers. The multimodal approach is usually explored for everyday tasks. For example, if a person wants to recognize the emotional state of another, he or she analyzes various modalities such as speech, face and body language. Studies have shown that the multimodal approach increases the success rate in recognizing emotions. This proposal aims to explore this approach in flood detection/prediction. (AU)
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