Open AccessDetection and Erasing Scribble Blackboard System Based on Hough-Transform Method Using Camera
Author(s) -
Syahri Muharom,
A Rizkiawan,
Ilmiatul Masfufiah,
Riza Firmansyah,
Yuliyanto Agung Prabowo
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2117/1/012010
Subject(s) - scratch , blackboard (design pattern) , detector , computer science , ranging , computer vision , pixel , artificial intelligence , position (finance) , computer graphics (images) , optics , physics , telecommunications , operating system , finance , economics , programming language
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%..