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Item type:Publication, Portable Signboard Size Measurement for Tax Collection(2026-01-01) ;Viriyakul, Vachara ;Noisundod, Siwakorn ;Chayawattana, Faikaew ;Chokkhun, PacharapolTienngam, KrittipoomChallenges 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. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Laser Pigeon Deterrent(2026-01-01) ;Viriyakul, Vachara ;Chumsri, Paramee ;Chayawattana, Faikaew ;Sattapornnara, PeerapatVongchumyen, CharoenUrban environments face increasing challenges due to pigeon infestations, leading to property damage, environmental degradation, and health concerns. This research presents the development of a laser-based pigeon deterrent system that leverages image processing, embedded systems, and web applications to provide an automated and efficient bird deterrence solution. The system detects pigeons and humans in real time, ensuring that laser deterrence is applied safely and ethically. Through controlled field tests, the system achieved a pigeon detection accuracy of 78.18% and a successful deterrence rate of 49.09%. The results indicate the potential of laser-based deterrents as a viable alternative to conventional bird control methods.
