An example implementation includes a device that includes a base infrastructure inspection unit and a plurality of modular sensor units attached to the base infrastructure inspection unit. The base infrastructure inspection unit includes a set of one or more processors and a memory device having code executable by the one or more processors. The executable code synchronizes the plurality of sensor units, captures two or more data streams of infrastructure inspection data, combines the data with metadata indicating synchronization between respective ones of the plurality of sensor units, and provides combined metadata and infrastructure inspection data for inclusion in a photorealistic image based on a three¬ dimensional (3D) model of the infrastructure.
H04N 23/50 - Caméras ou modules de caméras comprenant des capteurs d'images électroniques; Leur commande - Détails de structure
G05D 1/689 - dirigeant des charges utiles vers des cibles fixes ou en mouvement (positionnement d’équipements tractés, poussés ou suspendus G05D 1/672)
In one example, a method includes combining multi-sensor inspection (MIS) data from sensors of inspection platform(s); using respective metadata to select one or more tools for translating the MSI data into a common file format; applying the one or more tools to the first and second MSI data to obtain respective common data formatted files; and providing, via a cloud computing device, access to the common data formatted files. Other implementations may be described and claimed.
One aspect provides a modular inspection robot for inspecting vertical shafts, chambers or tunnels. An embodiment provides related methods and products. One method includes: capturing, using a plurality of video cameras associated with an infrastructure inspection unit, two or more videos of infrastructure; accessing, using one or more processors, image metadata indicating a mesh of connected vertices based on the two or more videos; selecting, using the one or more processors, image data of frames of the two or more videos for inclusion in an output based on the mesh; and outputting, using the one or more processors, a photo-realistic image of the infrastructure comprising the image data selected. Other examples are described and claimed.
An embodiment provides a method, including: obtaining, from a multi-sensor pipe inspection robot that traverses through the interior of a pipe, sensor data, such as structured laser light sensor data and Light Detection and Ranging (LIDAR) sensor data, for the interior of the pipe; identifying a pipe feature using one or more of the sensor data types; selecting an image processing technique based on the pipe feature identified using a stored association between the pipe feature and an image processing technique; and forming an image of the interior of the pipe by implementing the selected image processing technique. Other embodiments are described and claimed.
Described is a method of providing an augmented reality (AR) scene of pipe inspection data, including: obtaining, using a processor, pipe inspection data derived from a pipe inspection robot that traverses through the interior of an underground pipe, the pipe inspection data including one or more sets of condition assessment data relating to an interior of the underground pipe; obtaining, using a processor, real-time visual image data of an above-ground surface; combining, using a processor, the pipe inspection data with the real-time visual image data in an AR scene; and displaying, using a display device, the AR scene. Other examples are described and claimed.
G06F 3/01 - Dispositions d'entrée ou dispositions d'entrée et de sortie combinées pour l'interaction entre l'utilisateur et le calculateur
G06F 3/0481 - Techniques d’interaction fondées sur les interfaces utilisateur graphiques [GUI] fondées sur des propriétés spécifiques de l’objet d’interaction affiché ou sur un environnement basé sur les métaphores, p.ex. interaction avec des éléments du bureau telles les fenêtres ou les icônes, ou avec l’aide d’un curseur changeant de comport
One aspect provides a method, including: displaying, at a display screen, an image of an interior of a pipe, the image being obtained using a pipe inspection robot; accessing, using a processor, calibration data associated with the image; receiving, via an input device, user input marking at least a portion of the image; determining, using a processor, quantitative pipe feature data for at least one feature of the pipe using the marking and the calibration data; and providing, based on the determining, data associated with the at least one feature. Other aspects are described and claimed.
G06T 7/73 - Détermination de la position ou de l'orientation des objets ou des caméras utilisant des procédés basés sur les caractéristiques
G01N 21/954 - Inspection de la surface intérieure de corps creux, p.ex. d'alésages
F16L 55/26 - Hérissons ou chariots, c.à d. dispositifs pouvant se déplacer dans un tuyau ou dans une conduite et portant ou non un moyen de propulsion autonome
One aspect provides a method, including: obtaining sensor data from an unmanned aerial vehicle (UAV); the sensor data comprising data obtained by one or more sensors of the UAV; analyzing, using a processor, the sensor data to detect underground water associated with a pipe; and identifying, with the processor, an underground feature based on the analyzing. Other aspects are described and claimed.
One aspect provides a method, including: operating a mobile pipe inspection platform to obtain sensor data for the interior of a pipe; analyzing, using a processor, the sensor data using a trained model, where the trained model is trained using a dataset including sensor data of pipe interiors and one or more of: metadata identifying pipe feature locations contained within the sensor data of the dataset and metadata classifying pipe features contained within the sensor data of the dataset; performing one or more of: identifying, using a processor, a pipe feature location within the sensor data; and classifying, using a processor, a pipe feature of the sensor data; and thereafter producing, using a processor, an output including one or more of an indication of the identifying and an indication of the classifying. Other aspects are described and claimed.
G06T 7/33 - Détermination des paramètres de transformation pour l'alignement des images, c. à d. recalage des images utilisant des procédés basés sur les caractéristiques
G01N 21/954 - Inspection de la surface intérieure de corps creux, p.ex. d'alésages
F16L 55/26 - Hérissons ou chariots, c.à d. dispositifs pouvant se déplacer dans un tuyau ou dans une conduite et portant ou non un moyen de propulsion autonome
One embodiment provides methods for identifying a target object of a pipe wall, including using a terahertz (THz) beam source of a pipe inspection robot. Another embodiment provides methods of analyzing water quality within a pipe using a pipe inspection robot. Another embodiment provides a mobile jetter in connection with a pipe inspection robot. A further embodiment provides methods of visualizing pipe inspection data, including virtual reality displays. Other aspects are described and claimed.
F16L 55/26 - Hérissons ou chariots, c.à d. dispositifs pouvant se déplacer dans un tuyau ou dans une conduite et portant ou non un moyen de propulsion autonome
A device. The device includes a sensor portion and a chassis portion. The sensor portion includes a plurality of sensing devices. The chassis portion is connected to the sensor portion and includes a first track and a second track. The second track is positioned adjacent the first track. The first and second tracks cooperate to substantially cover an entire width of the chassis portion.
Methods and apparatuses for inspecting manholes or other voids and collecting data in a comprehensive, repeatable, and measurable manner. A sensor head is suspended and lowered into a manhole or other void. The sensor head collects data related to the condition of the manhole or void walls, and locations of defects, damage, or lateral pipe openings. The data can then be processed to provide a three-dimensional model of the manhole or void, and can be compared to previous or future data.
G01N 21/00 - Recherche ou analyse des matériaux par l'utilisation de moyens optiques, c. à d. en utilisant des ondes submillimétriques, de la lumière infrarouge, visible ou ultraviolette
12.
SPATIO-TEMPORAL AND CONTEXT-BASED INDEXING AND REPRESENTATION OF SUBTERRANEAN NETWORKS AND MEANS FOR DOING SAME
Systems, methods and. devices for indexing, archiving, analyzing and reporting pipe and other void network data. Specifically, multi-dimensional indexing and correlation of spatial, temporal, feature, environmental, uncertainty and/ or context-based data is synchronized, indexed and analyzed across a wide variety of pipe networks at various times. The present invention preferably includes data represented at several different levels of reference including: referenced to the sensor with which it was collected; referenced to the robot or platform upon which the sensor is attached; and the world. The structure and functionality of the system provides for extensive querying, trouble -shooting and predictive analysis for pipe networks.
H04L 12/28 - Réseaux de données à commutation caractérisés par la configuration des liaisons, p.ex. réseaux locaux [LAN Local Area Networks] ou réseaux étendus [WAN Wide Area Networks]
An autonomous inspector mobile platform robot (300) that is used to inspect a pipe (380) or network of pipes (380). The robot (300) includes a locomotion device that enables the device to autonomously progress through the pipe (380) and accurately track its pose and odometry during movement. At the same time, image data is autonomously captured to detail the interior portions of the pipe (380). Images are taken at periodic intervals using a wide angle lens, and additional video images may be captured at locations of interest. Either onboard or offboard the device, each captured image is unwarped (if necessary) and combined with images of adjacent pipe (380) sections to create a complete image of the interior features of the inspected pipe (380). Optional features include additional sensors and measurement devices, various communications systems to communicate with an end node or the surface, and/or image compression software.
G06F 19/00 - Équipement ou méthodes de traitement de données ou de calcul numérique, spécialement adaptés à des applications spécifiques (spécialement adaptés à des fonctions spécifiques G06F 17/00;systèmes ou méthodes de traitement de données spécialement adaptés à des fins administratives, commerciales, financières, de gestion, de surveillance ou de prévision G06Q;informatique médicale G16H)
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