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公开(公告)号:US20190339209A1
公开(公告)日:2019-11-07
申请号:US16474710
申请日:2017-12-30
申请人: Yuchuan DU , Xiaoming Zhang , Shengchuan Jiang , Yue Qiu , Guangzhao Chang , Lijun Sun
发明人: Yuchuan DU , Xiaoming Zhang , Shengchuan Jiang , Yue Qiu , Guangzhao Chang , Lijun Sun
摘要: A binocular image analysis-based asphalt road surface damage detection system, comprising five sub-systems for crack development degree detection model establishment, information collection, information analysis, information transmission and information distribution. Specifically, road surface damage information detection is performed by means of a mobile platform, a processing end, a temperature measurement-type infrared thermal imaging instrument, an ordinary image collector, a vibration sensor, image processing technology, edge cloud computing technology, an embedded system, system integration technology and real-time positioning technology.
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公开(公告)号:US11486548B2
公开(公告)日:2022-11-01
申请号:US16474710
申请日:2017-12-30
申请人: Yuchuan Du
发明人: Yuchuan Du , Xiaoming Zhang , Shengchuan Jiang , Yue Qiu , Guangzhao Chang , Lijun Sun
摘要: A binocular image analysis-based asphalt road surface damage detection system, comprising five sub-systems for crack development degree detection model establishment, information collection, information analysis, information transmission and information distribution. Specifically, road surface damage information detection is performed by means of a mobile platform, a processing end, a temperature measurement-type infrared thermal imaging instrument, an ordinary image collector, a vibration sensor, image processing technology, edge cloud computing technology, an embedded system, system integration technology and real-time positioning technology.
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公开(公告)号:US11221107B2
公开(公告)日:2022-01-11
申请号:US16457985
申请日:2019-06-29
申请人: Yuchuan Du
发明人: Yuchuan Du , Lijun Sun , Ning Pan , Shengchuan Jiang , Chenglong Liu , Jun Yan , Qin Wang
摘要: A method for leakage detection of underground pipeline corridor based on dynamic infrared thermal image processing. The leakage can be detected by the following steps, including: converting infrared thermal videos into infrared thermal images; obtaining the gray scale information and temperature information of internal environment of the underground pipeline corridor. The gray scale information can realize the conventional target of pipe line state identification inside the pipeline corridor, and the temperature information can be used to detect the pipe leakage.
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