https://archives.christuniversity.in/files/original/16c50d17a6ed7154b666929f8573716d.png ae8597b1fb62da5294ca14f6fc0ece85 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Patents Subject The topic of the resource Patent Description An account of the resource Patent Patent Patents Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Automatic vehicle license plate recognizer for kannada script using tensorflow based canvolutional neural network model / Subject The topic of the resource Computer Science Description An account of the resource Patent Number: 201941054190, Applicant: Dr. Arish P. Automatic Vehicle License Plate Recognizer (AVLPR) is used to read license number of a vehicle by itself without direct human control. It is used to track citizens, movements and misidentiflcation of vehicles. Traditional ALVPR is mounted on police cars or on object like road signs and bridges. The challenging tasks in recognizing the license plate numbers in Kannada script are high contrast foreground or background colour, shape of the license plate, location of the plate in the bottom and middle of the vehicle. Creator An entity primarily responsible for making the resource N, Arul Kumar. Source A related resource from which the described resource is derived <a href="https://drive.google.com/file/d/1cQhaRk9Wq4GL1oVheHvuZf6_DTkiYkdX/view" target="_blank" title="Automatic vehicle license plate recognizer for kannada script using tensorflow based canvolutional neural network model /" rel="noreferrer noopener">https://drive.google.com/file/d/1cQhaRk9Wq4GL1oVheHvuZf6_DTkiYkdX/view</a> Publisher An entity responsible for making the resource available Intellectual Property India Date A point or period of time associated with an event in the lifecycle of the resource 2020-03-17 Language A language of the resource English Type The nature or genre of the resource Patent