| Proj No. | A3023-251 |
| Title | AI-based building occupancy estimation and prediction using IoT-based environmental sensors |
| Summary | This project aims to understand the actual occupancy level in buildings via non-intrusion method. To this end, IoT sensors have been installed in a real building to measure the environmental information, such as temperature, humidity, CO2 levels, luminosity, and other key factors. The objective is how to utilize AI techniques with IoT data to estimate and predict the building occupancy level and trend. |
| Supervisor | A/P Chau Yuen (Loc:S1 > S1 B1A > S1 B1A 12, Ext: +65 67905420) |
| Co-Supervisor | - |
| RI Co-Supervisor | - |
| Lab | Centre for Information Sciences & System (CISS) (Loc: S2-B4b-05) |
| Single/Group: | Single |
| Area: | Intelligent Systems and Control Engineering |
| ISP/RI/SMP/SCP?: |