International Journal of Advanced Research in Science, Communication and Technology最新文献_第9页

Restaurant Inventory Management System 餐厅库存管理系统

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-04 DOI: 10.48175/ijetir-1217

M. Sasikanth, Dr. D. R. Krithika

引用次数: 0

Parking Slot Prediction and Face Recognition Based Parked Vehicle Theft Prevention in Smart System using Deep Learning 利用深度学习在智能系统中进行基于停车位预测和人脸识别的停车车辆防盗技术

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-04 DOI: 10.48175/ijetir-1214

N. Mohan Raj, P. Kavitha, S. Kamalakkannan

{"title":"Parking Slot Prediction and Face Recognition Based Parked Vehicle Theft Prevention in Smart System using Deep Learning","authors":"N. Mohan Raj, P. Kavitha, S. Kamalakkannan","doi":"10.48175/ijetir-1214","DOIUrl":"https://doi.org/10.48175/ijetir-1214","url":null,"abstract":"More than a million cars are on the roadways of a contemporary major city, but more parking spots are needed to accommodate them. Locating vacant parking places in most contemporary cities might take time, especially during busy periods like festival seasons. In the traditional parking system, drivers face considerable losses in terms of money, productivity and time which is wasted in search of parking spots in densely populated areas. Hence, it can be said that the traditional parking systems are not capable of providing a smooth parking experience to the drivers along with reducing the parking search traffic on the roads. This highlights the rationale of adopting advanced technologies to make the urban transport system modern and ease the problem faced by the drivers. This project proposes a Smart Parking System utilizing Edge Computing and Deep Learning algorithms to seamlessly link multiple parking stations into a unified network, establishing a shared parking system. To address security concerns in highly restricted areas such as residential zones, military bases, and government buildings, the system functions as a centralized automatic vehicle identifier for owner verification. Deep Learning algorithms, such as Convolutional Neural Networks used to recognize the driver/owner face of a vehicle during the departure phase, fortifying security measures and thwarting potential vehicle theft","PeriodicalId":341984,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141679560","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}

引用次数: 0

Sign Up Wallet a Block Chain based Personally Identifiable Information (PII) Masking using Lookup Substitution 基于区块链的个人身份信息（PII）屏蔽（使用查找替代法）的注册钱包

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-04 DOI: 10.48175/ijetir-1215

T. Mukilan, P. Kavitha, S. Kamalakkannan

{"title":"Sign Up Wallet a Block Chain based Personally Identifiable Information (PII) Masking using Lookup Substitution","authors":"T. Mukilan, P. Kavitha, S. Kamalakkannan","doi":"10.48175/ijetir-1215","DOIUrl":"https://doi.org/10.48175/ijetir-1215","url":null,"abstract":"Digital identity is a user’s online identification, similar to a physical identification card such as a passport or driver’s license. A digital identity contains characteristics or attributes of the user. As we access apps and websites, organizations are dominantly using centralized and federated identity management systems (e.g. signing in with a Google or Facebook account) by default. The centralized system puts data at risk of large scale hacks and breaches while the federated model enables companies to track user data without their knowledge. Existing identity management systems either use a centralized authentication server or rely on identity providers to authenticate users for gaining access to various services. These systems have failed to safeguard user data privacy and do not encourage the portability of identity data. A trustworthy and reliable system is needed so that individuals can interact and network digitally and securely. These problems are motivated the development of the Sign Up Wallet a blockchain and machine learning based Self-Sovereign Identity model to manage digital identities. The emerging blockchain technology enables self-sovereign identity management, a decentralized identity management model that eliminates identity providers as a trusted third party and machine learning is used to find the trusted service provider. In this proposed system users store their digital identity in a Sign Up Wallet with cryptographic keys. When registering with a trusted service provider, a Unique Personal Identifier (UPI) Code is submitted for direct credential verification. Logistic Regression is used for predicting whether a website is trusted or not. If the service provider is untrusted, a masked credential is generated using a Lookup Substitution Algorithm, preserving privacy during verification. This masked credential is then provided to the service provider, allowing verification without exposing the raw data and maintaining user security","PeriodicalId":341984,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141678195","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}

引用次数: 0

Smart Attendance Monitoring System using Facial Recognition 使用面部识别的智能考勤监控系统

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-04 DOI: 10.48175/ijetir-1209

Natarajan S, Dr. H. Jayamangal

{"title":"Smart Attendance Monitoring System using Facial Recognition","authors":"Natarajan S, Dr. H. Jayamangal","doi":"10.48175/ijetir-1209","DOIUrl":"https://doi.org/10.48175/ijetir-1209","url":null,"abstract":"All Standard institutes of learning place high priority on class attendance that if the criteria is not met by the student, the student will not be granted access to sit for his/her examination conducted by the school. This makes class attendance an important activity for the student. Over the years, class attendance has been conducted manually and is still taking place currently in almost 80% of Nigerian Universities. Manual monitoring of attendance by the university's lecturer has become a hectic one for most lecturers and students. With the advancement of technology, manual marking of student’s attendance has been replaced by biometric concepts. Though many researchers have made provisions on some biometric functions like fingerprint scanner, iris recognition, hand and finger geometric. In this paper we will propose a facial recognition concept as a means of verification in marking student’s attendance and store it into the database once verified. The system made use of a dlib library OpenCv library in successfully carrying out facial recognition. Images are read into directory, and these images are encoded so as to generate 128 facial measurements like distances between the nose, ear, and eyebrow etc. This encodings will be used in making comparisons with images read from camera or from live streaming videos in other to find best matches. For the real time attendance system, we created a web application using python flask. Here we used bootstrap framework for frontend design, python as the programming language and Mysql for database design","PeriodicalId":341984,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 22","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141679193","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}

引用次数: 0

Efficient Fruit Calorie Measurement using Machine Learning 利用机器学习高效测量水果热量

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-04 DOI: 10.48175/ijetir-1216

M. Nithish, P. Kavitha, S. Kamalakkannan

{"title":"Efficient Fruit Calorie Measurement using Machine Learning","authors":"M. Nithish, P. Kavitha, S. Kamalakkannan","doi":"10.48175/ijetir-1216","DOIUrl":"https://doi.org/10.48175/ijetir-1216","url":null,"abstract":"Food is undeniably a fundamental necessity for all living organisms on Earth. Humans, in particular, seek freshness, purity, and standard quality in their food. To ensure these standards are met, the food processing industry has implemented rigorous standards and automation processes. With a growing global awareness of the impact of diet on health, individuals are increasingly mindful of their dietary choices. An imbalanced diet can lead to various health issues such as weight gain, obesity, and diabetes. Consequently, there has been a surge in the development of systems aimed at analyzing food images to determine calorie and nutrition levels. In this paper, a food portion recognition system is employed to accurately measure calorie and nutrition values. Users simply need to capture a picture of the food, which is then analyzed to detect the type of food portion. This is achieved through segmentation techniques, including skull stripping, followed by classification using support vector machine algorithms. This comprehensive approach ensures precise determination of calorie content, as well as identification of the type of energy present in the food.Overall, this system represents a significant advancement in the field of dietary assessment, offering a seamless and accurate means of monitoring food intake and nutritional values","PeriodicalId":341984,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141677098","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}

引用次数: 0

Real-Time Image Forgery Detection through Machine Learning 通过机器学习实时检测图像伪造

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-04 DOI: 10.48175/ijetir-1210

Waship W, Dr. H. Jayamangala

引用次数: 0

AI based ID Card Fraud Detection using Deep Adversarial Network 利用深度对抗网络进行基于人工智能的身份证欺诈检测

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-04 DOI: 10.48175/ijetir-1220

Sowmiya. K, Dr. D. R. Krithika

{"title":"AI based ID Card Fraud Detection using Deep Adversarial Network","authors":"Sowmiya. K, Dr. D. R. Krithika","doi":"10.48175/ijetir-1220","DOIUrl":"https://doi.org/10.48175/ijetir-1220","url":null,"abstract":"ID cards are official documents issued by government authorities or institutions to verify a person's identity. Educational certificates are official documents awarded by educational institutions, such as schools, colleges, and universities, to individuals who have successfully completed a specific program of study. They typically include the individual's name, photograph, date of birth, a unique identification number, the name of the institution, the degree or qualification earned, the date of completion, and sometimes additional details like the program of study or academic honours Both documents play important roles in various aspects of an individual's life, including employment, education, and official identification. Presentation attacks on ID cards and educational certificates encompass a range of deceptive tactics employed by individuals with malicious intent to undermine the authentication and validation processes associated with these documents. These attacks can have diverse objectives, from gaining unauthorized access to secured areas to securing employment or admissions under false pretences. In the case of ID cards, common presentation attacks involve forgery, counterfeiting techniques, photo substitution, tampering, and even the pretext of having lost one's ID card. On the other hand, educational certificate presentation attacks include utilizing diplomas from diploma mills, falsifying academic transcripts, resume fraud, and even compromising credential verification systems","PeriodicalId":341984,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141678580","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}

引用次数: 0

Smart Parking Management System 智能停车场管理系统

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-04 DOI: 10.48175/ijetir-1219

Anpr Camera, HD 1280X

{"title":"Smart Parking Management System","authors":"Anpr Camera, HD 1280X","doi":"10.48175/ijetir-1219","DOIUrl":"https://doi.org/10.48175/ijetir-1219","url":null,"abstract":"The Smart Parking Management System (SPMS) is a cutting-edge solution that effectively tackles the persistent issues encountered in urban parking environments. By incorporating advanced technologies like Internet of Things (IoT), data analytics, and machine learning, the SPMS aims to optimize parking space utilization, mitigate traffic congestion, and improve overall user satisfaction. This abstract provides a comprehensive overview of the SPMS, outlining its key features such as real-time parking availability updates, seamless reservation capabilities, and integration with navigation apps. Furthermore, it highlights the system's contribution to sustainability efforts through the provision of electric vehicle charging infrastructure.In today's fast-paced world where time is of the essence, finding a suitable parking spot in urban areas can be quite daunting. The Smart Parking Management System (SPMS) comes as a breath of fresh air with its innovative approach to solving this problem. By utilizing state-of-the-art technologies like Internet of Things (IoT), data analytics, and machine learning algorithms, the SPMS aims to revolutionize how we park our vehicles in cities.At its core, the SPMS is designed to optimize parking space utilization while reducing traffic congestion. Through real-time updates on available parking spots via mobile applications or digital displays at car parks entrances/exits; drivers can effortlessly locate vacant slots without wasting precious time circling around aimlessly looking for one","PeriodicalId":341984,"journal":{"name":"International Journal of Advanced Research in Science, Communication and Technology","volume":" 28","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141679685","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}

引用次数: 0

X-Noiseguard Intelligent Noise Reduction for High-Fidelity X-Ray Imaging 用于高保真 X 射线成像的 X-Noiseguard 智能降噪系统

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-04 DOI: 10.48175/ijetir-1212

Harish G, Dr. H. Jayamangala

引用次数: 0

Voice Based E-Mail System for Visually Impaired using Hidden Markov Models 使用隐马尔可夫模型的视障语音电子邮件系统

International Journal of Advanced Research in Science, Communication and Technology Pub Date : 2024-07-04 DOI: 10.48175/ijetir-1203

Supriyaa C, S. Anu Priya

引用次数: 0