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.

翻译：本文件通过使用CO2传感器和称为长期短期记忆的深层学习技术,了解了对教室占用情况的估计。 作为与IoT和机器学习相联系的一个案例,我实现了根据从CO2传感器输出的环境数据估算教室人数的模式,我还评估了模型的性能,以显示将我们的模块应用于实际环境的可行性。