Intellectual Property India Publishes Patent Application for 'Real-Time Traffic Object Detection And Multi-Object Tracking Using Yolo-Based Deep Learning' Filed by V. Bhavana; B. Harsha Vardhan Reddy; N. Akhil Yadav; Rajeev Gandhi Memorial College Of Engineering & Technology; and Mr. Y. P. Srinath Reddy

MUMBAI, India, May 29 -- Intellectual Property India has published a patent application (202641041788 A) filed by V. Bhavana; B. Harsha Vardhan Reddy; N. Akhil Yadav; Rajeev Gandhi Memorial College Of Engineering & Technology; and Mr. Y. P. Srinath Reddy, Nandyal, Andhra Pradesh, on April 1, for 'real-time traffic object detection and multi-object tracking using yolo-based deep learning.'

Inventor(s) include Mr. Y. P. Srinath Reddy; N Akhil Yadav; V. Bhavana; and B. Harsha Vardhan Reddy.

The application for the patent was published on May 29, under issue no. 22/2026.

According to the abstract released by the Intellectual Property India: "Existing object detection approaches in traffic video analysis mainly focus on frame-by-frame detecti...