MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611000741 A) filed by Ct University, Jalandhar, Punjab, on Jan. 5, for 'portable handheld device and method for paint quality using multi-sensor ai analysis.'
Inventor(s) include Dr. Abhilash Thakur; Dr. Shiv Kumar Gn; and Ms. Nisha.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention is a portable, handheld tool and technique for real-time, non-destructive evaluation of paint condition on manufactured goods, automobiles, machinery, and architectural surfaces. To identify color mismatch, gloss inconsistency, uneven coating, structural degradation, and surface flaws, the system combines optical sensors, spectrophotometry, gloss metering, ultrasonic/eddy current thickness evaluation, micro-vibration adhesion analysis, and an AI-based picture classifier. Through an onboard display or a mobile/cloud application, the gadget automatically generates a diagnostic report and a composite Paint Quality Index (PQI) score. In contrast to traditional single-parameter tools, the innovation combines multi-sensor data into an intelligent quality evaluation module, allowing for predictive maintenance, quick grading, and the detection of counterfeit paint. Accuracy, usability, and industry certification efficiency are all improved by the idea."
Disclaimer: Curated by HT Syndication.
