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Laser triangulation measurement of the level in a coal silo 被引量:2
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作者 Sun Jiping Jiang Jing 《Mining Science and Technology》 EI CAS 2011年第6期881-884,共4页
Laser triangulation theory was used to develop a novel contact-free method for measuring the coal level in a silo under harsh environmental conditions found in coal mines, such as the presence of dense dust, high humi... Laser triangulation theory was used to develop a novel contact-free method for measuring the coal level in a silo under harsh environmental conditions found in coal mines, such as the presence of dense dust, high humidity, and low illumination. A laser source and a camera were mounted at the top of the silo. The laser spot projected into the silo was imaged by the camera. The pinhole imaging principle allows the level to be found from the lateral shift of the spot image on the sensor. A pre-calibrated look-up table of the coal depth versus spot position was used to obtain the depth. The measurement accuracy depends on the step size used during pre-calibration. The actual application of a device designed according to these principles shows that it is easy to implement. The detection of the coal level in a silo at the low illumination level found in coal mines is demonstrated. 展开更多
关键词 Laser triangulation measurement coal level of coal silo image segmentation Look-up table
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A method for detecting miners based on helmets detection in underground coal mine videos
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作者 Cai Limei Qian Jiansheng 《Mining Science and Technology》 EI CAS 2011年第4期553-556,共4页
In order to monitor dangerous areas in coal mines automatically,we propose to detect helmets from underground coal mine videos for detecting miners.This method can overcome the impact of similarity between the targets... In order to monitor dangerous areas in coal mines automatically,we propose to detect helmets from underground coal mine videos for detecting miners.This method can overcome the impact of similarity between the targets and their background.We constructed standard images of helmets,extracted four directional features,modeled the distribution of these features using a Gaussian function and separated local images of frames into helmet and non-helmet classes.Out experimental results show that this method can detect helmets effectively.The detection rate was 83.7%. 展开更多
关键词 Human detection Helmet detection coal mine Gaussian model image pattern recognition
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