MUMBAI, India, Aug. 1 -- Intellectual Property India has published a patent application (202411005563 A) filed by Aditya Shanker, Ghaziabad, Uttar Pradesh, on Jan. 28, 2024, for 'deep neural network based road defect identification and reporting system.'
Inventor(s) include Aditya Shanker.
The application for the patent was published on Aug. 1, under issue no. 31/2025.
According to the abstract released by the Intellectual Property India: "Preamble Roads and highways are the lifeline of any city, state or country, socioeconomic development of the region is directly dependent on the transportation infra where road networks contribution is biggest. Its critical to have road networks in top notch condition. Roads defects like undulation, broken patches and potholes occur due to various unavoidable reasons present in every country. Bad/broken roads not oly kill people but they slow down the development of the region. They also contribute to higher CO2 emission as vehicles can't move in their efficiency range. For road maintenance, we still use conventional methodologies, which worked for smaller road network. As we build more and more roads on a daily basis, we need to move to more efficient, scientific and technologically advance method to maintain the roads. The potholes and broken patches start with a very small defect, ignoring them over a period of time make them bigger and sever in nature. The first step in maintaining the great road network is almost instant identification of the problem. Here we introduce a scientific method using Artificial Intelligence (AI) to identify the road defects, and use AI for identifying the quality of repairs."
Disclaimer: Curated by HT Syndication.
