Intellectual Property India Publishes Patent Application for 'Adaptive Hybrid Yolo-Based System For Real-Time Vehicle Detection And Tracking' Filed by Kalinga Institute Of Industrial Technology

MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202531131423 A) filed by Kalinga Institute Of Industrial Technology, Bhubaneswar, Orissa, on Dec. 24, 2025, for 'adaptive hybrid yolo-based system for real-time vehicle detection and tracking.'

Inventor(s) include Dey, Raghunath; and Piri, Jayashree.

The application for the patent was published on Jan. 9, under issue no. 02/2026.

According to the abstract released by the Intellectual Property India: "The present disclosure provides an adaptive hybrid YOLO-based system for real-time vehicle detection and tracking that includes a YOLO-based object detection module (102) configured to detect vehicles in input video frames and generate bounding boxes with class labels, an adaptive tracking module configured to maintain vehicle tracking continuity across multiple frames through dynamic adaptation of tracking parameters based on detected motion patterns, a hybrid processing architecture that combines the YOLO-based object detection module with multiple enhancement techniques to achieve robust performance across varying environmental conditions, and real-time processing capability for live traffic monitoring applications. The system includes a preprocessing module that performs grayscale conversion, Gaussian blur filtering, and GrabCut segmentation. The adaptive tracking module employs adaptive Kalman filtering with Support Vector Machine-based selection mechanisms and error feedback for trajectory prediction during occlusion scenarios."

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