Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Suhan Krishna, M.G.; George, Jossy; Chanti, S. Title A name given to the resource Smart Street Lighting System Using AI, Computer Vision, and IoT for Energy Efficiency and Sustainability Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Proceedings - 2025 International Conference on Transformative Computing Technologies, ICTCT 2025;pp.339-343 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICTCT69201.2025.00069" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTCT69201.2025.00069</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037455542?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037455542?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Suhan Krishna M.G., CHRIST (Deemed to be University), India; George J., CHRIST (Deemed to be University), India; Chanti S., CHRIST (Deemed to be University), India Description An account of the resource In pursuit of smart cities, optimum utilization of energy without any compromise on public security is a requirement. Traditional lighting systems work with minimal flexibility but result in enormous wastage of energy. The proposed model dynamically controls lighting intensity based on real-time pedestrian and environmental information. The model is capable of saving wasteful utilization of electricity by integrating innovative technologies without any compromise on public security and visibility levels. The system requires the deployment of IoT-enabled cameras at strategic points on the highways to monitor the movement and traffic of pedestrians and automobiles. The system is capable of detecting and recognizing moving objects in real-time through computer vision technologies. Based on movement and density patterns, the system determines the optimal level of brightness to be used over each street lighting segment. This adaptive lighting method ensures the utilization of energy only where it is required and minimizes the energy consumption substantially without any compromise on security. Overall, this AI-driven smart lighting solution is a cost-effective and scalable solution for cities to become intelligent and resource-efficient. 2025 IEEE. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833159195-3; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online