MUMBAI, India, April 17 -- Intellectual Property India has published a patent application (202621023251 A) filed by Apurv Vaibhav Sarode; Sarvesh Singam; Sarvesh Suryawanshi; Rohit Valsetwar; and Mangesh Chaudhari, Pune, Maharashtra, on Feb. 26, for 'non-destructive rust detection system for metal sheets using magnetic flux leak- age and machine learning.'
Inventor(s) include Apurv Vaibhav Sarode; Sarvesh Singam; Sarvesh Suryawanshi; Rohit Valsetwar; and Mangesh Chaudhari.
The application for the patent was published on April 17, under issue no. 16/2026.
According to the abstract released by the Intellectual Property India: "This project represents a unique approach to a rust detection through non destructive technique by fusion of the principle of magnetic flux leakage, triaxial magnetometer, and machine learning understanding to produce a economically viable, robust, compact and easily packageable system. The classification accuracy of 94%-98% altogether with a 95% sensitivity for detection of the rust actually proves how effective and worthy and can approach for any industry. Our build in system actually overcomes the uneffectiveness of existing industries testing method by discarding the inconsistency and non-uniformness of visual inspection providing trustworthy approach in substitution to the cost-worthy industrial NDT techniques and moreover at a lower user-budget friendly cost and thereby enabling system 20 portability for varied industrial environments. The transportability and the economic-viability and handy use of this system makes it eligible for scheduled corrosion testing, predictive maintenance of sheet metals, auto- motive, utilities and other sectors etc."
Disclaimer: Curated by HT Syndication.
