Innovative vehicle data verification from intelligent license plate recognition with image processing techniques in the LINE application

Abstract

The aim of this study is to develop innovation model of vehicles data monitoring through License Plate by combining License Plate Recognition techniques by OpenALPR cloud and intelligent interactive bot technology. It can find vehicle data, checking vehicles data, and keep vehicles track from theft alert or use of fake License Plate. It is convenient for fieldwork officers for alerting through the communication group network with the checkpoint officers for checking vehicles data and intercept the suspected car. It will be a model of application of intelligence technology innovation with performance of the officers. The results of the study show that the accuracy of the License Plate Recognition by directly taking the pictures in distance between 1 – 5 meters is 73.2 %. The most accurate distance is 2 meters. For left or right hand photography, the accuracy of the License Plate Recognition is 55%. The average of duration for finding vehicle data (Throughput) is 2.34 seconds. It is 3 times repeating for accuracy. Number of license plate images 2,400 images.