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Inspection and NDT Jobs

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3/20/2025: NC - Department Manager - Eastern North Carolina - Applied Technical Servic

3/20/2025: CT - NAS-410 FPI needed in April - National Inspection & Co

3/19/2025: IL - UTT Level II Technician - Acuren

3/19/2025: IL - Rope Access Level I w/UTT - Acuren

3/19/2025: IL - Rope Access Level I w/Profile Radiographer - Acuren

3/19/2025: IL - PAUT Technician - Acuren

3/19/2025: IL - Multi-cert NDT Technician (MT/PT/UTT) - Acuren

3/19/2025: IL - CR Profile Radiographer - Acuren

3/19/2025: IL - RT Level II Technician - Acuren

3/19/2025: IL - Rope Access Level III - Acuren

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Nondestructive Testing News

Exciting Additions to the Pine Fleet! We’re thrilled to announce the latest expansions to our fleet, offering even more cutting-edge solutions to meet your environmental and industrial needs. These new additions are designed to provide advanced data collection, enhanced imaging, and precise analysis in the field. Here’s what’s now available: • Quest Edge 7 Personal Noise Dosimeter: Ensure workplace safety and compliance with accurate noise monitoring. This lightweight and durable device is ideal for occupational noise exposure assessments. ...Read More.

Our Well-Known Fully Portable Pipe Crawler TROGLOTREK Now Manufactured in North America Fiberscope.net is pleased to announce that TROGLOTREK Pipe Crawlers are now being manufactured in North America following the acquisition of Troglotech by Jireh. As the official distributor with over 20 years of experience in the inspection equipment industry, Fiberscope.net continues to offer full support to customers, ensuring they receive the right product configurations and post-purchase assistance. This acquisition improves product availability and strengthens local support for the TROGLOTREK product l ...Read More.

Considerations in AI - Unsupervised Machine Leaning Is Error Prone? Unsupervised learning has become an essential building block of artifical intelligence systems. The representations it produces, for example, in foundation models, are critical to a wide variety of downstream applications. It is therefore important to carefully examine unsupervised models to ensure not only that they produce accurate predictions on the available data but also that these accurate predictions do not arise from a Clever Hans (CH) effect. Here, using specially developed explainable artifical in ...Read More.

Lumafield Announces $75 Million Series C Funding Investment Advances X-ray CT Technology, Driving Growth and Innovation For an Era of Supply Chain Disruption CAMBRIDGE, MA, March 13, 2025 - Lumafield, a pioneering developer of industrial X-ray CT technology, today announced it has closed a $75 million Series C funding round. The funding solidifies the company’s position as a leader in advanced manufacturing as the U.S. renews its focus on manufacturing supremacy and companies around the world reconfigure their supply chains in response to strategic th ...Read More.

Hexagon Transforms Tube and Wire Production Hexagon’s Manufacturing Intelligence division has launched the 2025 TubeInspect system, a non-contact optical quality inspection solution that delivers reliable measurement results in seconds and helps manufacturers streamline tube and wire workflows. Building on mature metrology device and software heritage, the next-generation solution integrates advanced optical measurement with effortless workflow automation, setting a new benchmark for production efficiency and a rapid return on investment (R ...Read More.

AI-Powered Drone Swarms for Industrial Wind Turbine Inspection A research team from the University of Klagenfurt is collaborating with industry partner AIR6 SYSTEMS on the FFG-funded DORBINE project to create a novel technology that employs artificial intelligence to manage swarms of drones that monitor wind turbines while in operation. Traditionally, to check wind turbines for damage, they must be turned off. This indicates that these wind turbines are not producing any energy during the shutdown time. Moreover, wind turbine inspections are typically expensiv ...Read More.

No matter whether it’s an above or below-water survey – Cygnus’ve got you covered Cygnus Instruments was born in the marine industry, working alongside ship surveyors and commercial divers to this day. Four decades on, this knowledge of the industry and its challenges is second to none. Cygnus is now the world-renowned maker of easy-to-use, highly accurate ultrasonic testing (UT) equipment for corrosion inspection, flooded member detection, and leak detection of marine structures and vessels of all sizes. Corrosion is a critical threat to the structural integrity of ships and offshore ...Read More.

SREM TECHNOLOGIES a new supplier for Aerospace Industry with the FLUXO RANGE – AMS 2644 Approved - for PENETRANT TESTING SREM TECHNOLOGIES a new supplier for Aerospace Industry with the FLUXO RANGE – AMS 2644 Approved - for PENETRANT TESTING. SREM TECHNOLOGIES has developed a range of BIODEGRADABLE Penetrants to meet the needs of manufacturers; and these 2 new references are also listed in the QPL-AMS-2644: FLUXO B12 - Fluorescent Penetrant - Water Washable - Method A/C – Sensitivity 2 - BIODEGRADABLE FLUXO B13 - Fluorescent Penetrant - Water Washable - Method A/C – Sensitivity 3 - BIODEGRADABLE This new range of b ...Read More.

Fiberscope.net Introduces Motorized Reel Cable Upgrade for STRAHL HD Well Camera Fiberscope.net has added a motorized reel cable box option to the STRAHL HD Well Camera, making well and borehole inspections easier and more efficient. This upgrade removes the need for manual winching, allowing operators to raise and lower the camera with less effort. The motorized winch and 200-meter reinforced cable give operators better control over camera movement, reducing strain and making inspections smoother. Powered by AC110V-230V, this upgrade improves the camera’s usability and reliability f ...Read More.

Lightweight DCGAN and MobileNet Model Detect Welding Defects X-ray nondestructive testing technology is widely used for inspecting welds and identifying defects, and is crucial in the manufacturing industry. However, the diversity of welding defects and the imbalanced defect samples reduce defect classification model accuracy and can cause classifier overfitting. This paper proposes an improved DCGAN model for generating welding defect samples by integrating deep convolutional neural networks to enhance the training relationship between the generator and discriminato ...Read More.

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