Detection and Erasing Scribble Blackboard System Based on Hough-Transform Method Using Camera

Abstract

Teachers of a secondary school in Semarang city are often exposed to blackboard chalk dust. This will give a significant impact if it occurs at a fairly frequent intensity and a long period of time. An automatic scratch detector and designing a device that can erase the blackboard is a preventive step that can reduce the long-term impact of chalk dust. The scratch detector uses a circle shape parameter as a mark of dirty position that needs to be erased. Light can affect the system performance. The system works properly at light intensities ranging from ± 160 to ± 200 lux. Testing the threshold value proves that the system can detect circles in the range of 40 - 55. The pixel size which is detected by the camera was 640x480 will allow the system to divide the blackboard into 9 mapping areas. The mapping area is differentiated into 9 sections so that the x and y coordinate positions of the blackboard dirty spot can be determined. A mechanical execution will erase the top and bottom areas according to the position of the detected mapping area. The success of scratch detector reaches 81.8%..

Local Generating Map System Using Rviz ROS and Kinect Camera for Rescue Robot Application

“…Cameras are often used to detect various moving and also stationary objects, some applications of cameras in automation systems, and also the application of cameras for robotic application [14]- [16]. The camera used on the robot is as the main parameter in the navigation system and also as the main parameter in making an area map, area mapping can be done in various ways, including using RVIZ on ROS [17].…”