A pipeline inspection device including a housing, an antenna, an imaging device having one or more lenses, two diaphragms extending from the housing and distal to one another along the length of the housing, the two diaphragms sharing a longitudinal axis with the housing, a processor, a storage device in communication with the processor, and a memory in communication with the processor, storing a machine learning algorithm and instructions to be executed by the processor, wherein the antenna is operable to communicate with a remote transceiver, the remote transceiver being located on a pipeline through which the pipeline inspection device travels. Also disclosed herein are systems and methods for using the same.

Camera heads and associated systems, methods, and devices for inspecting and/or mapping pipes or cavities are disclosed. A camera head may be coupled to a push-cable and may include one or more image sensors to capture images and/or videos from interior of the pipe or cavity. One or more multi-axis sensors may be disposed in the camera head to sense data corresponding to movement of the camera head within the pipe or cavity. The images and/or videos captured by the image sensors may be used in conjunction with the data sensed by the multi-axis sensors to generate information pertaining to the pipe or cavity may be generated.

Camera heads and associated systems, methods, and devices for inspecting and/or mapping pipes or cavities are disclosed. A camera head may be coupled to a push-cable and may include one or more image sensors to capture images and/or videos from interior of the pipe or cavity. One or more multi-axis sensors may be disposed in the camera head to sense data corresponding to movement of the camera head within the pipe or cavity. The images and/or videos captured by the image sensors may be used in conjunction with the data sensed by the multi-axis sensors to generate information pertaining to the pipe or cavity may be generated.

A method for automatically detecting at least one anomaly inside of a conduit. The method includes steps of: moving an optical imaging device of a system inside of the conduit; viewing at least one anomaly inside of the conduit with the optical imaging device; outputting a video stream by the optical imaging device with the at least one anomaly to a user interface of the system; executing an anomaly detection program, by a controller of the system, from a computer readable medium in response to the at least one anomaly being viewed by the optical imaging device, wherein the controller is caused to: automatically detect the at least one anomaly with a machine learning protocol of the anomaly detection program; and apply an alert to the at least one anomaly on the video stream.

A method for locating at least one anomaly inside of a conduit in real-time computing. The method includes steps of: moving a controlled inspection vehicle of a system, by a controller, inside of the conduit at a starting point; viewing at least one anomaly inside of the conduit at a point of interest (POI) with the controlled inspection vehicle; emitting a detection signal, by the controlled inspection vehicle, at the POI; finding the detection signal by a locator that is remote of the conduit; and recording the detection signal of the POI with the locator.

A method for locating at least one anomaly inside of a conduit in real-time computing. The method includes steps of: moving a controlled inspection vehicle of a system, by a controller, inside of the conduit at a starting point; viewing at least one anomaly inside of the conduit at a point of interest (POI) with the controlled inspection vehicle; emitting a detection signal, by the controlled inspection vehicle, at the POI; finding the detection signal by a locator that is remote of the conduit; and recording the detection signal of the POI with the locator.

A method for automatically detecting an anomaly inside of a conduit in real-time computing. The method includes steps of: moving an optical imaging device of a system inside of the conduit; viewing at least one anomaly inside of the conduit with the optical imaging device; outputting a video stream by the optical imaging device with the at least one anomaly to a user interface of the system; executing an anomaly detection program, by a controller of the system, from a computer readable medium in response to the at least one anomaly being viewed by the optical imaging device from the live video stream. The controller is caused to: automatically detect the at least one anomaly with a machine learning protocol of the anomaly detection program; output the at least one detected anomaly to the control interface; and automatically indicate the at least one detected anomaly on the live video stream.

An in-pipe apparatus for pipe inspection or maintenance using a probe or tool includes: a lateral deployment mechanism including a perpendicular deployment mechanism and a linear actuator configured to deploy the perpendicular deployment mechanism in a lateral direction toward a target point to contact an inner wall of the pipe and passively deploy a probe or tool perpendicularly on or at the target point; and a rotational deployment mechanism coupled to the lateral deployment mechanism and including a motor configured to rotationally deploy the lateral deployment mechanism about the inner circumference with respect to a rotation axis that differs from the pipe axis, to align the lateral deployment mechanism in the lateral direction. The perpendicular deployment mechanism includes: a pivot member to pivot the perpendicular deployment mechanism about a pivot axis parallel to the rotation axis; and a probe or tool holder coupled to the pivot member.

An in-pipe apparatus for pipe inspection or maintenance using a probe or tool includes: a lateral deployment mechanism including a perpendicular deployment mechanism and a linear actuator configured to deploy the perpendicular deployment mechanism in a lateral direction toward a target point to contact an inner wall of the pipe and passively deploy a probe or tool perpendicularly on or at the target point; and a rotational deployment mechanism coupled to the lateral deployment mechanism and including a motor configured to rotationally deploy the lateral deployment mechanism about the inner circumference with respect to a rotation axis that differs from the pipe axis, to align the lateral deployment mechanism in the lateral direction. The perpendicular deployment mechanism includes: a pivot member to pivot the perpendicular deployment mechanism about a pivot axis parallel to the rotation axis; and a probe or tool holder coupled to the pivot member.

A system includes an inspection robot comprising a plurality of sensor sleds; a plurality of ultra-sonic (UT) sensors; a couplant chamber mounted to each of the plurality of sleds, each couplant chamber comprising: a cone, the cone comprising a cone tip portion at an inspection surface end of the cone; a sensor mounting end opposite the cone tip portion; a couplant entry fluidly coupled to the cone at a position between the cone tip portion and the sensor mounting end; and wherein each of the UT sensors is mounted to the sensor mounting end of one of the couplant chambers.