{"title":"Campus Management System with ID Card using Face Recognition with LBPH Algorithm","authors":"Thet Thet Aung","doi":"10.5121/ijait.2023.13501","DOIUrl":"https://doi.org/10.5121/ijait.2023.13501","url":null,"abstract":"The Face recognition system mentioned is a computer vision and image processing application designed to carry out two primary functions: identifying and verifying a person from an image or a video database. The objective of this research is to provide a more efficient and effective alternative to traditional manual management systems. It can be used in offices, schools, and organizations where security is critical. In the proposed system, initially, all students enrolled in the Academic Year whose information is stored in a database server and released a unique ID Card with their facial image to be a smart campus. The main objective of the proposed system is to automate the time-in, and time-out of students, teachers, staff, and anyone who enters and leaves the campus of the University of Computer Studies, Hinthada (UCSH). This system is implemented with the 405 students in the 2022-2023 Academic Year, 86 permanent staff including the principal whose ID card (Name, Year, Roll No, NRC, Father Name: for students, Name, Rank, Department, NRC, Address: for teachers and staffs). As soon as someone enters the campus of a university, the ID card is scanned, the images of the ID card are captured and the face onthe card will be matched with the faces in the trained dataset to detect by using the Haar cascade classifier, and recognize the face using Local Binary Pattern LBPH algorithm. The proposed system demonstrates strong performance, achieving an accuracy rate of over 90% for everyone entering the campus. It is both effective and efficient, providing a smart solution for identification.","PeriodicalId":492316,"journal":{"name":"International journal of advanced information technology","volume":"21 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136319072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IoT and Blockchain - A New Paradigm for Supplier Management in Manufacturing Plants","authors":"Karthik Raj Kumar Yesodha, Arunkumar Jagadeesan","doi":"10.5121/ijitcs.2023.13401","DOIUrl":"https://doi.org/10.5121/ijitcs.2023.13401","url":null,"abstract":"This paper discusses how the combination of Internet of Things (IoT) and Blockchain technology can create a new paradigm for supplier management in manufacturing plants. IoT enables the comprehensive digitalization of an entire manufacturing plant while providing a trove of data about the daily operations and performance of suppliers, machine performances, and other related activities. Blockchain technology provides a distributed ledger technology to store, share, and manage this data with trust and security, ensuring that all stakeholders within the supply chain are accountable and have an immutable record of their activities and performance. The paper discusses the potential opportunities and benefits that this new paradigm promises for manufacturers through improved supplier management, automated processes, reduced costs, and enhanced transparency. It also examines the challenges associated with making this system functional such as legal issues, system integration, and security concerns. Finally, the paper provides an overview of potential uses of this technology and concludes with a discussion of the future prospects of using IoT and Blockchain in supplier management.","PeriodicalId":492316,"journal":{"name":"International journal of advanced information technology","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135181212","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}