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 Maharajan, M.S.; Abirami, T.; Jayadharshini, P.; Krishnasamy, Lalitha; Priyanka, S.; Aravinth, S. Title A name given to the resource Smart People Counting System by Enhancing Accuracy and Affordability with YOLOv5 and Cloud-Based Integration 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 Lecture Notes in Networks and Systems;Volume;1314 LNNS;pp.115-125 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-96-3797-3_10" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-96-3797-3_10</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105031519443?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105031519443?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 Maharajan M.S., Department of Artificial Intelligence and Data Science, Panimalar Engineering College, Tamilnadu, Chennai, India; Abirami T., Department of Information Technology, Kongu Engineering College, Tamil Nadu, Perundurai, India; Jayadharshini P., Department of Artificial Intelligence, Kongu Engineering College, Tamil Nadu, Perundurai, India; Krishnasamy L., Department of CSE, School of Engineering and Technology, CHRIST University, Bangalore, Kengeri, India; Priyanka S., Department of Artificial Intelligence, Kongu Engineering College, Tamil Nadu, Perundurai, India; Aravinth S., Department of Information Technology, Kongu Engineering College, Tamil Nadu, Perundurai, India Description An account of the resource Considering that all moving objects are humans, much of the work in data is based on recognizing and tracking moving objects. In this work, we present a method for counting peoples faces. Even though we use the face mask, the deep learning-based YOLOv5 algorithm and Faster R-CNN allow us to recognize the face. We do a very good job of counting people. To make the calculation more accurate, we introduced a new type of intelligent small scale computing system consisting of cheaper hardware and user-friendly cloud computing software. These findings show that intelligent computing systems can realize human vision. Additionally, by combining inexpensive hardware with cloud-based software, the planning process becomes more transparent and cost-effective. Finally, the web application allows users to view the number of authorized and unauthorized users. Based on the results obtained from this method, the deep learning YOLOv5 algorithm is used to identify and match human images to increase security, and thanks to cloud storage, users can easily view all calculated results, increasing the accuracy by 98.53%. Owing to the truth that most of the secure watches cannot be able to check each and each individual The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-981963796-6; 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