20.500.12556/RUL-174752 Privacy-by-design AIoT vision for intelligent urban environments The recent advancements in AI (Artificial Intelligence) have been instrumental in fostering the development of AIoT (Artificial Intelligence of Things)-enabled urban environments. Machine vision and image analysis, in particular, have become integral to a wide array of AI applications within the field of urban planning and monitoring. Yet, the rapid adoption of AI algorithms in public areas has significantly heightened privacy concerns. In this paper, we introduce a privacy-by-design approach tailored for intelligent urban systems, presenting a holistic approach to the development and deployment of AI-driven systems for privacy-preserving image acquisition and analysis. Specifically, we design an embedded vision system that acquires privacy-protected data, safeguarding sensitive information against unauthorized access and potential misuse. Furthermore, we propose a strategy for developing AI vision methods using data that has been anonymized, ensuring that privacy is maintained throughout the AI application building process. Through experiments on a real-world AIoT-enabled urban environment use case – traffic flow monitoring at a city intersection – we demonstrate that our approach upholds strong privacy guarantees while maintaining the operational performance of modern AI vision systems. privacy-by-design AIoT embedded vision systems visual data anonymization intelligent urban systems privacy-preserving computer vision edge AI vgrajena zasebnost AIoT vgrajeni sistemi strojnega vida anonimizacija vizualnih podatkov inteligentni sistemi za pametna mesta računalniški vid z ohranitvijo zasebnosti umetna inteligenca na robu true false true Angleški jezik Slovenski jezik Članek v reviji 2025-10-09 13:22:25 2025-10-09 13:22:34 2026-07-04 04:21:50 0000-00-00 00:00:00 2025 0 0 15 str. art. 103586 Vol. 169 Dec. 2025 0000-00-00 Zaloznikova Objavljeno apc 0000-00-00 0000-00-00 0000-00-00 004.93 1383-7621 10.1016/j.sysarc.2025.103586 252456963 1-s2.0-S1383762125002589-main.pdf 1-s2.0-S1383762125002589-main.pdf 1 A1C0A3FAE4D05C875C1F7E06DA9BE16C 631ead798c21db9dfb65aac168ee8bcb8ca0d39f3be649a2f8076c5c191b5889 bb71d3a1-76e2-11f1-9b0d-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=236989 https://www.sciencedirect.com/science/article/pii/S1383762125002589 1 04dd98b0-a502-11f0-9328-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=219634 Fakulteta za elektrotehniko 0 0 0