Portable Signboard Size Measurement for Tax Collection

Abstract

Challenges in the collection of signboard taxes largely emanate from access-related problems and human errors, which contribute to inefficiencies in the tax valuation processes. However, a question of concern, which is normally overlooked, is how to provide a systematic and portable solution which combines precision and convenience for the field officers. This paper addresses this gap by developing a portable device based on computer vision and machine learning approaches to automate signboard measurement. Through the integration of state-of-the-art technologies, this device not only increases accuracy but also brings a level of operational simplicity that has not been explored before in this area. The results showed that the device was able to identify and calculate the area of the signboards correctly.