ALEXANDRIA, Va., July 30 -- United States Patent no. 12,373,925, issued on July 29, was assigned to Tartan Aerial Sense Tech Private Ltd. (Bangalore, India).
"System and method of training and operating neural network model for enhanced foliage detection" was invented by Dhivakar Kanagaraj (Karur, India), Pranav M P (Bengaluru, India), Raghul Raghu (Madurai, India) and Prakash Mathews Pothen (Thiruvalla, India).
According to the abstract* released by the U.S. Patent & Trademark Office: "A system includes a training server that in a training phase causes a custom neural network model for foliage detection to learn features related to foliage from a modified training dataset and further learn a color variation range of a predefined color as...