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19,580 results on '"Industrial inspection"'

51. CRYSOUND Launches Next-Gen Acoustic Imaging Camera for Industrial Inspection

Subjects
Business, News, opinion and commentary
Abstract

HANGZHOU, China, June 27, 2024 /PRNewswire/ -- CRYSOUND introduces the CRY8120 Series Acoustic Imaging Cameras, a breakthrough in industrial inspection capabilities. These cutting-edge devices revolutionize the detection of gas leaks, [...]

Published
2024

53. SEOUL NATIONAL UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION invites tenders for 2024 Seoul National University College of Engineering Industrial Safety Top Strategy Course Overseas Industrial Inspection (Hungary/Austria/Czech Republic)

Subjects
Occupational health and safety -- Inspection -- Safety and security measures, News, opinion and commentary
Abstract

SEOUL NATIONAL UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION, South Korea has invited tenders for 2024 Seoul National University College of Engineering Industrial Safety Top Strategy Course Overseas Industrial Inspection (Hungary/Austria/Czech Republic). Tender [...]

Published
2024

54. ENERGY ECONOMIC RESEARCH INSTITUTE invites tenders for 23Rd Energy Senior Management Course Overseas Industrial Inspection Agency Bidding Notice (Urgent)

Subjects
Economic research -- Energy use -- Economic aspects, Research institutes -- Economic aspects, News, opinion and commentary
Abstract

ENERGY ECONOMIC RESEARCH INSTITUTE, South Korea has invited tenders for 23Rd Energy Senior Management Course Overseas Industrial Inspection Agency Bidding Notice (Urgent). Tender Notice No: 20240442630-00 Deadline: May 7, 2024 [...]

Published
2024

57. RPA POSITIONING ERROR INFLUENCE ON CLOSE RANGE PHOTOGRAMMETRY FOR INDUSTRIAL INSPECTION

Author

M. Machado, G. Marcellino, J. D. Salazar, D. J. Regner, P. Buschinelli, J. M. Santos, C. Marinho, and T. C. Pinto

Subjects
Technology, Engineering (General). Civil engineering (General), TA1-2040, Applied optics. Photonics, TA1501-1820
Abstract

In oil and gas offshore platforms, special pipelines as flexible risers make the connection between the ocean floor structures and the platform in extreme environmental and operational conditions. Periodic inspections are necessary to assess their integrity. As industrial climbing for inspection is expensive, extremely dangerous and time consuming, qualitative visual inspection with Remotely Piloted Aircraft System (RPAS), also known as drones, are being successfully applied for remote inspection of offshore flares and risers in a much safer, quicker, and cheaper way. These experiences motivate the 3D photogrammetric inspection of risers using RPAS, considering restrictions like layout of the inspected structures and surroundings and inability to prepare the scene. In this paper, taking advantage of the position information provided by the RPAS, the reconstruction and scale of the test scene were made using only GNSS data, GNSS and scale bars, RTK, and RTK and scale bars. Calibrated artifacts were used to evaluate the results and they include a PVC pipe with artificial defects simulating a riser, a pyramidal pattern with four spheres, and scale bars. The results showed that, as expected, the worst results are for GNSS data with error standard deviations of 0.35 mm compared with 0.20 mm or less for other options. For the sphere’s artifact, relative maximum sphere spacing errors are 9.3% for GNSS, 1.9% for RTK and 0.26% using scale bars. In any case it was possible to identify the defects in the pipe with good quality and with much more detail compared with a climbing inspection.

Published
2021
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62. Industrial Inspection & Analysis Acquires Aerial & Crane Experts, Inc

Subjects
Industrial equipment and supplies industry -- Mergers, acquisitions and divestments, Company acquisition/merger, Consumer news and advice
Abstract

(PRWeb) - Industrial Inspection & Analysis (IIA) continues its growth through the acquisition of Aerial & Crane Experts, Inc. (ACE), based in Sonora, California. ACE joins IIA's Lift and Crane [...]

Published
2024

63. Industrial Inspection & Analysis Acquires Aerial & Crane Experts, Inc

Subjects
Industrial equipment and supplies industry -- Mergers, acquisitions and divestments, Company acquisition/merger, Business, News, opinion and commentary
Abstract

Industrial Inspection & Analysis (IIA) continues its growth through the acquisition of Aerial & Crane Experts, Inc. (ACE), based in Sonora, California. ACE joins IIA's Lift and Crane Services division, [...]

Published
2024

68. Sensors for Industrial Inspection

Author

C. Loughlin and C. Loughlin

Subjects
Engineering inspection, Detectors--Industrial applications
Abstract

Numerous areas of expertise are often required for the inspection of an individual product, with many different sensors being used within a single inspection machine. For this reason it is necessary for the production engineer to have at least a working knowledge of all the different technologies that may be employed. This book covers the majority of sensors that can be applied on the shop floor and has been designed to assist engineers with little or no previous experience in the various fields. The information that the book contains is of a highly practical nature and is based on the author's considerable first-hand experience of varied industrial applications.

Published
2012

77. Mobile Manipulation for Industrial Inspection and Building Construction

Author

Pankert, Johannes, Hutter, Marco, and Bohg, Jeannette

Subjects
Robotics (cs.RO), Construction robotics, Industrial inspection, Motion Planning, Model Predictive Control (MPC), Engineering & allied operations, ddc:620
Abstract

Industrial robots have revolutionized the manufacturing industries, mass-producing goods at affordable prices in controlled factory environments. In recent years, mobile robots were introduced that can move around unstructured environments like construction sites, but they mostly observe their surrounding and do not interact. This thesis aims to combine the two developments, building mobile manipulating robots that automate tasks in unstructured environments like construction sites or infrastructure plants by interaction. We identify robot motion planning and task-related perception as the key challenges and propose solutions to those problems. Traditionally, mobile manipulators separate the locomotion and the manipulation problem by first driving to a job site and then executing a task with the manipulator. We propose a control framework that combines locomotion and manipulation with whole-body control to solve continuous manipulation tasks that exceed the workspace of a fixed-base manipulator. During task execution, unintended collisions are avoided, and forces at intentional contact are controlled. The framework respects tip-over stability and joint limit constraints and can be deployed on a broad class of mobile manipulators. A mobile manipulator's base is its locomotion system. Its shape creates conflicting operational constraints, such as being small enough to fit through narrow passages or being large enough to ensure stability. We propose a base design that can reconfigure its footprint to satisfy those conflicting requirements. Besides the wide footprint for stability and the narrow footprint for navigation, the robot can also assume a triangular configuration for high-precision manipulation tasks. The robot can switch between the different configurations while it is locomoting using its swerve-steering driving units and no additional actuators. A hardware prototype is built and extensively tested in lab experiments and a field deployment on a construction site. A mobile manipulator has to perceive its environment to interact with it meaningfully. Different sensing modalities like vision and touch have unique advantages and can contribute manipulation-relevant information. We propose two state estimation methods for the two modalities with the same internal belief representation, a particle filter. The first method processes images from a depth camera and infers weights for the measurement update of the particle filter. The update rule is learned from data collected in a simulator and can be used for various problems such as object localization or articulation state estimation. The second method is a contact-based state estimator that leverages the high accuracy of modern manipulators' kinematics to refine the state estimate from a centimeter-level accuracy to the submillimeter level. A reinforcement learning agent decides how a robot should engage with the environment to decrease the uncertainty about its state. The highly accurate state estimate enables the robot to execute a fuse-inertion task with tight tolerances. All proposed methods are put to work in two application studies. First, a mobile manipulator should inspect switchboard cabinets in a train tunnel and replace fuses. The second use case aims to automate the plastering process in the building construction industry.

Published
2023

83. AN INDUSTRIAL INSPECTION APPROACH FOR WELD DEFECTS USING MACHINE LEARNING ALGORITHM

Author

Kalai Selvi V and John Aravindar D

Subjects
x-ray weld images, weld image classification, speeded-up robust features, machine learning, auto-encoder classifier, Biotechnology, TP248.13-248.65, Computer applications to medicine. Medical informatics, R858-859.7
Abstract

The weld defects are formed due to the incorrect welding patterns or wrong welding process. The defects in the weld may vary from size, shape and their projected quality. The most common weld defects occur during welding process is slag inclusions, porosity, lack of fusion and incomplete penetration. In this study, an effective method for weld defect classification using machine learning algorithm is presented. The system uses Speeded-up Robust Features (SURF) for feature extraction and one of the machine learning algorithms called Auto-Encoder Classifier (AEC) for classification. Initially, the features that distinguish weld defects and no defects in the weld image are extracted by SURF. Then, AEC is analyzed for weld image classification using different number of neurons in different hidden layers (2 and 3 hidden layers). The performance of the system is evaluated by GD X-ray weld image database. The results show that the weld images are correctly classified with 98% accuracy using SURF and AEC.

Published
2019
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84. Deal snapshot: Industrial Inspection & Analysis Acquires Aerial & Crane Experts to Enhance Lift & Crane Services

Subjects
Industrial equipment and supplies industry -- Mergers, acquisitions and divestments, Company acquisition/merger, Business, general
Abstract

MANews-(C)2009-2024 Georgia, US-based lift, crane and aerial inspections provider Industrial Inspection & Analysis (IIA) has acquired California-based Aerial & Crane Experts, Inc., to enhance IIA's lift and crane services division, [...]

Published
2024

85. Industrial Inspection & Analysis Acquires Aerial & Crane Experts to Enhance Lift & Crane Services

Subjects
Industrial equipment and supplies industry -- Mergers, acquisitions and divestments, Materials handling, Company acquisition/merger, Business, general
Abstract

MANews-(C)2009-2024 Georgia, US-based lift, crane and aerial inspections provider Industrial Inspection & Analysis (IIA) has acquired California-based Aerial & Crane Experts, Inc., to enhance IIA's lift and crane services division, [...]

Published
2024

88. Machine Vision Frame-by-Frame: ONCE WRITTEN OFF AS OLD TECH, THE FRAME GRABBER HAS BECOME A NECESSARY, DYNAMIC COMPONENT OF INDUSTRIAL INSPECTION

Author

Waide, Donal

Subjects
Image processing equipment, Computer vision, Image processor, Business, Engineering and manufacturing industries
Abstract

Frame grabbers are essential components in machine vision systems that provide ultra high-speed, high-data image capture from one camera or multiple cameras simultaneously. A new generation of frame grabbers is [...]

Published
2020

91. Industrial Inspection & Analysis Acquires Aerial & Crane Experts to Enhance Lift & Crane Services

Subjects
Industrial equipment and supplies industry -- Mergers, acquisitions and divestments, Company acquisition/merger, Business
Abstract

M2 EQUITYBITES-May 10, 2024-Industrial Inspection & Analysis Acquires Aerial & Crane Experts to Enhance Lift & Crane Services (C)2024 M2 COMMUNICATIONS http://www.m2.co.uk Georgia, US-based lift, crane and aerial inspections provider [...]

Published
2024

93. INSTITUTO DE SOLDADURA E QUALIDADE, S.A. secures contract for Industrial inspection services - Regulatory periodic inspection service of the devices under pressure in the mobile material and test benches of the mobile material maintenance area

Subjects
Contract agreement, News, opinion and commentary
Abstract

Spain based INSTITUTO DE SOLDADURA E QUALIDADE, S.A. has secured contract from METRO DE MADRID, SOCIEDAD ANoNIMA for Industrial inspection services - Regulatory periodic inspection service of the devices under [...]

Published
2023

97. SuperSimpleNet: Unifying Unsupervised and Supervised Learning for Fast and Reliable Surface Defect Detection

Author

Rolih, Blaž, Fučka, Matic, Skočaj, Danijel, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Antonacopoulos, Apostolos, editor, Chaudhuri, Subhasis, editor, Chellappa, Rama, editor, Liu, Cheng-Lin, editor, Bhattacharya, Saumik, editor, and Pal, Umapada, editor

Published
2025
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98. TransFusion – A Transparency-Based Diffusion Model for Anomaly Detection

Author

Fučka, Matic, Zavrtanik, Vitjan, Skočaj, Danijel, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Leonardis, Aleš, editor, Ricci, Elisa, editor, Roth, Stefan, editor, Russakovsky, Olga, editor, Sattler, Torsten, editor, and Varol, Gül, editor

Published
2025
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