@article{ART003283744},
author={Ji-Woo Park and Tae-Wook Kang and Chang-Sun Shin and Jang-Woo Park and Young-Yun Cho and Chul-Young Park},
title={A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2025},
volume={11},
number={6},
pages={225-231},
doi={10.20465/KIOTS.2025.11.6.217}
TY - JOUR
AU - Ji-Woo Park
AU - Tae-Wook Kang
AU - Chang-Sun Shin
AU - Jang-Woo Park
AU - Young-Yun Cho
AU - Chul-Young Park
TI - A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning
JO - Journal of Internet of Things and Convergence
PY - 2025
VL - 11
IS - 6
PB - The Korea Internet of Things Society
SP - 225
EP - 231
SN - 2466-0078
AB - This study proposes an automatic classification method combining a Vision-Language Model (VLM) with evidence-based reasoning to efficiently identify illegal banners in urban environments. The system analyzes the type and textual content of advertisement images and enhances decision reliability through Rule-of-2 and Verifier procedures. Experimental results show an overall accuracy of approximately 70%, with F1-scores of 0.73 for the illegal class and 0.65 for the legal class. Confusion matrix analysis indicates 8 false positives and 24 false negatives. These findings suggest the need to reduce false positives while maintaining illegal detection performance. This study demonstrates the potential for automating urban advertisement enforcement and highlights the need for extensive datasets and integration with administrative systems for rigorous validation.
KW - Urban Environment Monitoring;Illegal Banner Detection;Vision-Language Model;Contextual Reasoning;Automated Enforcement System
DO - 10.20465/KIOTS.2025.11.6.217
ER -
Ji-Woo Park, Tae-Wook Kang, Chang-Sun Shin, Jang-Woo Park, Young-Yun Cho and Chul-Young Park. (2025). A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning. Journal of Internet of Things and Convergence, 11(6), 225-231.
Ji-Woo Park, Tae-Wook Kang, Chang-Sun Shin, Jang-Woo Park, Young-Yun Cho and Chul-Young Park. 2025, "A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning", Journal of Internet of Things and Convergence, vol.11, no.6 pp.225-231. Available from: doi:10.20465/KIOTS.2025.11.6.217
Ji-Woo Park, Tae-Wook Kang, Chang-Sun Shin, Jang-Woo Park, Young-Yun Cho, Chul-Young Park "A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning" Journal of Internet of Things and Convergence 11.6 pp.225-231 (2025) : 225.
Ji-Woo Park, Tae-Wook Kang, Chang-Sun Shin, Jang-Woo Park, Young-Yun Cho, Chul-Young Park. A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning. 2025; 11(6), 225-231. Available from: doi:10.20465/KIOTS.2025.11.6.217
Ji-Woo Park, Tae-Wook Kang, Chang-Sun Shin, Jang-Woo Park, Young-Yun Cho and Chul-Young Park. "A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning" Journal of Internet of Things and Convergence 11, no.6 (2025) : 225-231.doi: 10.20465/KIOTS.2025.11.6.217
Ji-Woo Park; Tae-Wook Kang; Chang-Sun Shin; Jang-Woo Park; Young-Yun Cho; Chul-Young Park. A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning. Journal of Internet of Things and Convergence, 11(6), 225-231. doi: 10.20465/KIOTS.2025.11.6.217
Ji-Woo Park; Tae-Wook Kang; Chang-Sun Shin; Jang-Woo Park; Young-Yun Cho; Chul-Young Park. A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning. Journal of Internet of Things and Convergence. 2025; 11(6) 225-231. doi: 10.20465/KIOTS.2025.11.6.217
Ji-Woo Park, Tae-Wook Kang, Chang-Sun Shin, Jang-Woo Park, Young-Yun Cho, Chul-Young Park. A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning. 2025; 11(6), 225-231. Available from: doi:10.20465/KIOTS.2025.11.6.217
Ji-Woo Park, Tae-Wook Kang, Chang-Sun Shin, Jang-Woo Park, Young-Yun Cho and Chul-Young Park. "A Study on Automated Enforcement Decision Methods for Urban Advertising Materials Using Vision-Language Models and Evidence-Based Reasoning" Journal of Internet of Things and Convergence 11, no.6 (2025) : 225-231.doi: 10.20465/KIOTS.2025.11.6.217
