This strategic acquisition has transformed Eddyfi Technologies into your one-stop, one-stop destination for everything related to Phased Array Ultrasonic Testing (PAUT).
Analysis of high-density polyethylene pipes allows for the detection of damage and ensures their performance in industrial processes.
Machine learning enables non-destructive testing methods to deliver faster and more reliable assessments in critical inspection tasks.
Early detection of imperfections through Non Destructive Testing is key to ensure safety and reliability in the industry.
With technological advances, digital radiography has become an essential technique for industrial inspection and quality control.
From manual analysis to digital systems, industrial ultrasound has become a key tool for maintenance and non-destructive diagnosis.
Inspenet, October 24, 2023.
In the world of industrial inspection, the constant search for innovative technologies that allow a more precise and efficient evaluation of materials and products is a priority. In this context, Phase Coherence Imaging (PCI) has emerged as a promising technique for a variety of applications, both in technical and medical fields.
Artificial intelligence enables more efficient remote visual inspections, improving industrial safety, reducing costs and generating valuable visual analysis.
While Eddyfi Technologies is known for its wide range of small and agile inspection crawlers, we have also been creating industrial robotics capable of XY movements for a long time. Eddyfi Robotics developed a patented design that is increasingly being employed due to the inherent benefits afforded with an XY crawler versus our standard crawler robots or robots using a raster arm. This article shares some examples where our unique XY crawlers truly excel.
Inspenet, September 30, 2023.
In the world of nondestructive inspection, guided wave technology has seen significant advancement in recent years. This technique has evolved rapidly, and current trends in NDT focus on automation and advanced data analysis to improve efficiency and accuracy in defect detection.
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