Indoor room Occupancy Counting based on LSTM and Environmental Sensor

Zheyu Zhang

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arXiv · 2212.02364

Indoor room Occupancy Counting based on LSTM and Environmental Sensor

Zheyu Zhang

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Abstract

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.

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Zheyu Zhang. 2022-12-05. Indoor room Occupancy Counting based on LSTM and Environmental Sensor. https://arxiv.org/abs/2212.02364

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