Ai Based Industrial Radiography
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Our inspections were good, but we needed to be faster, more efficient, and proactive.<br>Thatu2019s what the ud835udde9ud835udde3 ud835uddfcud835uddf3 ud835udde2ud835uddfdud835uddf2ud835uddffud835uddeeud835ude01ud835uddf6ud835uddfcud835uddfbud835ude00 at a global oil & gas leader told us when they approached #Stellarix. <br>ud835udc08ud835udc27 ud835udc23ud835udc2eud835udc2cud835udc2d ud835udfcfud835udfce ud835udc30ud835udc1eud835udc1eud835udc24ud835udc2c, ud835udc30ud835udc1e ud835udc21ud835udc1eud835udc25ud835udc29ud835udc1eud835udc1d ud835udc2dud835udc21ud835udc1eud835udc26:<br>Explore 30 AI solutions for radiographic testing (RT)<br>Shortlist high-TRL providers using deep learning for weld defect detection<br>Benchmark vendors across accuracy, customization, and investment readiness<br>Click on the link for results- https://stellarix.com/insights/case-studies/ai-based-industrial-radiography/
Ai Based Industrial Radiography
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Presentation Transcript
AI-based Industrial Radiography Precision Meets Intelligence CASE STUDY
OBJECTIVE The client, seeking AI solutions for NDT, requested to: Explore AI technologies in Non-Destructive Testing (NDT), focusing on Radiographic Testing (RT) for pipeline girth and fabrication yard welds Identify AI providers offering machine learning and deep learning RT solutions for the oil and gas sector Evaluate providers based on TRL, investment, customization, and commercial criteria to select the best partners
METHODOLOGY To meet the client’s needs, we performed a thorough analysis Analyzed the client’s existing NDT portfolio and challenges Researched key AI innovations in RT technology Searched databases for competitive solutions with advanced techniques Mapped and analyzed shortlisted technologies Provided actionable insights through data visualization
PROJECT OUTCOME The analysis empowered the client with a strategic advantage The analysis provided the client with a strategic advantage by integrating AI-powered radiographic testing (RT) technologies. This adoption significantly enhanced inspection efficiency, improved detection accuracy, and reduced operational costs. As a result, defect identification became more precise, ensuring higher-quality welds and minimizing the risk of structural failures.
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