In this paper, a remote monitoring system for air quality in vehicle is designed based on Kalman filter. The microprocessor Exynos 4412 is used as the controller and signal processer in this system. The data of PM2.5, PM10, formaldehyde, temperature and humidity are obtained by gas sensors.The mean filteringis used to eliminate pulse noiseof data and the Kalman filtering is used to calculatethe optimal estimation values. Thesedatadrawgraphics are displayed on theAndroid boardand sentto mobile terminal for remote realtime monitoring.When the data is more than the normal threshold, the mobile terminal is able to give the acoustooptic alarm and control the car air system. The experimental results show that the system can effectively improve the accuracy of pollution monitoring and mobility.