IdentiPlate: An Android-Based Automatic License Plate Recognition and Carbon Emission Calculation on Automobile Campus Ingress/Egress

Abstract

Academic institutions are not exempt from challenges in managing vehicle transportation, including traffic congestion, inefficient ingress and egress, and the resulting environmental concerns. With the rising volume of vehicles entering and exiting campuses, there is a pressing need for systems that can streamline traffic management while addressing the institution's environmental impact. This problem calls for innovative solutions that balance operational efficiency with sustainability. To address these emerging problems, IdentiPlate has been developed, an integrated system combining automatic license plate recognition (ALPR) with vehicle carbon emission calculations.  The system consists of an Android app that utilizes an API for text and image recognition to automatically identify license plates and calculate carbon emissions based on variables such as emission factors, travel distances, and fuel economy data. Additionally, a web-based platform facilitates data management and tracks vehicle ingress and egress. Overall, the IdentiPlate demonstrated its ability to improve operational efficiency and promote environmental responsibility. User feedback indicates that the system was tailored to meet institutional needs, with enhancements suggested to optimize it further.