MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202621041924 A) filed by National Forensic Sciences University on April 01, 2026, for An Image-Based Machine Learning System For Automated Detection And Measurement Of Reinforcement Bars In Reinforced Concrete Structures.
Inventors include Rohitashva Kumar; Dr. Praveen Kumar Gupta; and Prof. Dr. Merool Vakil.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: ABSTRACT An Image-Based Machine Learning System for Automated Detection and Measurement of Reinforcement Bars in Reinforced Concrete Structures The present invention discloses an image-based machine learning system (100) for automated detection and measurement of reinforcement bars in reinforced concrete structures. The images captured at construction sites are processed using a real time based deep learning object detection module (103) to identify reinforcement bars. The detected regions are analysed using a convolutional neural network-based regression model to estimate bar diameter. The pixel-based measurements are converted into real-world dimensions through calibration techniques. The system (100) provides a non-destructive, accurate, and automated solution for reinforcement verification in construction quality control and forensic structural applications. Fig. 1
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