MUMBAI, India, Jan. 2 -- Intellectual Property India has published a patent application (202541122250 A) filed by Vellore Institute Of Technology, Vellore, Tamil Nadu, on Dec. 4, 2025, for 'road surface condition detection system using smartphone sensors and machine learning.'
Inventor(s) include Dr. Chandru Vignesh C; and Mr. Dwij Sharma.
The application for the patent was published on Jan. 2, under issue no. 01/2026.
According to the abstract released by the Intellectual Property India: "The present disclosure provides a method (100) for detecting road surface conditions. The method includes mounting (102) a smartphone having an accelerometer and GPS sensor on a vehicle, collecting (106) accelerometer data along X, Y, and Z axes while the vehicle is in motion, collecting (108) corresponding GPS coordinate data, processing (114) the data using a machine learning algorithm to automatically classify road surface conditions, and generating (116) classifications based on the algorithm. The machine learning algorithm may include a K-means clustering algorithm with k=4 clusters (310). The method may include segmenting (308) a route into 40-meter road segments and displaying (118) classifications on a map-based visualization interface with color-coded indicators."
Disclaimer: Curated by HT Syndication.
