Development of inclinometer using image of Bull's eye level for disaster prevention network

Abstract

 Monitoring of inclination of land is important to prevent a damage from landslide. Low cost and stable system is necessary for this purpose. This paper presents a new inclination measurement system and its application to sensor network of disaster prevention. Our system has a bull's eye level, a digital camera and wireless module. The angle and direction of inclination is measured from the photo of bull's eye level. The achieved resolution was 0.0053degree/pixel using a bull's eye level with a curvature radius of 800 mm. Measurement data was compared with the data from commercial inclinometer.