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公开(公告)号：US20220145608A1
公开(公告)日：2022-05-12
申请号：US17518908
申请日：2021-11-04
申请人： CAN-EXPLORE INC.
摘要： A system for inspection of a sewer network. The system comprises: a cleaning nozzle mounted on a hose; an inspection sled having a camera mounted thereon and a nozzle mounting section selectively engageable to the cleaning nozzle; and a position encoder configured to acquire position data representative of the position of the camera inside the conduit while the sled is moved inside the conduit by the movement of the cleaning nozzle and the camera captures images of the inner wall of the conduit. A method for inspection of a sewer network using the system is also provided.
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公开(公告)号：US20210181119A1
公开(公告)日：2021-06-17
申请号：US17119140
申请日：2020-12-11
申请人： CAN-EXPLORE INC.
发明人： Sébastien MICHAUD , FRANCIS BROCHU
摘要： A system for performing automated inspection of a sewer line using machine learning. The system comprises a inspection data database storing sewer inspection data including images and metadata associated therewith; an inspection upload module receiving and uploading the sewer inspection data to the inspection data database; and an inspection module receiving the sewer inspection data from the inspection data database and generating therefrom identification data including characteristics of the sewer line identified and categorized. The identification module uses at least one machine learning model processing the sewer inspection data and determining whether at least one sewer specific characteristic is identifiable in the images and categorizing the at least one sewer specific, using a plurality of hierarchical classes where a top class performs the determination of whether the at least one sewer specific characteristic is present and the identification thereof and lower classes perform categorization in decreasing abstraction levels.
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