Paper ID: 2212.02364

Indoor room Occupancy Counting based on LSTM and Environmental Sensor

Zheyu Zhang

This paper realizes the estimation of classroom occupancy by using the CO2 sensor and deep learning technique named Long-Short-Term Memory. As a case of connection with IoT and machine learning, I achieve the model to estimate the people number in the classroom based on the environmental data exported from the CO2 sensor, I also evaluate the performance of the model to show the feasibility to apply our module to the real environment.

Submitted: Dec 5, 2022