2023 International Conference on Emerging Smart Computing and Informatics (ESCI)最新文献_第10页

Eye Gesture Interface and Emotion Detection Tool 眼睛手势界面和情感检测工具

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10100100

Gaurav Kulkarni, Rohit Kulkarni, Vaidehi Deshmukh

引用次数: 0

Image De-noising with Hexagonal Structures Using Adaptive Recursive Filter 基于自适应递归滤波器的六边形结构图像去噪

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10099993

M. D. Jakhete, A. Vyas, N. Shinde, Payal Kadam

引用次数: 0

Automatic Attendance System using a Group Image 使用组图像的自动考勤系统

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10100103

Mihir Gujarathi, Aditya Paranjape, Bansi Shelke, Omkar Gokhale, Omkar Dhekane

{"title":"Automatic Attendance System using a Group Image","authors":"Mihir Gujarathi, Aditya Paranjape, Bansi Shelke, Omkar Gokhale, Omkar Dhekane","doi":"10.1109/ESCI56872.2023.10100103","DOIUrl":"https://doi.org/10.1109/ESCI56872.2023.10100103","url":null,"abstract":"Marking employee attendance and keeping track of it is crucial to any organization, and this record is used as a benchmark for many other things. With an enormous number of employees working there, physically recording each employee's daily attendance is tiresome and time-consuming. Digital solutions based on RFID, biometrics and other technologies have been developed. However, they require expensive hardware in-frastructure and ongoing maintenance, which isn't cost-effective. We present a revolutionary real-time attendance marking and recording system that addresses all of these problems to meet the demand of the digital age for attendance marking without spoofing or unethical behaviors. Our solution is a user-friendly android application that allows users to take and upload a group snapshot of the people whose attendance needs to be noted. The application has a robust backend that effectively recognizes each user by detecting their faces, extracting those faces, creating face embeddings, and comparing them to those in the database. We have recorded the recognition time of 8.28 seconds. Our solution has the potential to be quickly adopted by any company with just a few modifications.","PeriodicalId":441215,"journal":{"name":"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128407201","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

Deep Learning Based Pothole Detection 基于深度学习的坑洞检测

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10100020

D. Rajan, Mohammad Khaja Faizan, Rajinikanth Kundelu, Neha Nandal, Vasu Sena Gunda

引用次数: 0

Multiband PIFA for Mobile Applications 移动应用的多频段PIFA

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10100052

A. Deshpande

引用次数: 0

Leveraging ML Techniques for Image-based Freshness Index Prediction of Fruits and Vegetables 利用机器学习技术进行基于图像的果蔬新鲜度指数预测

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10100260

Atharva Gokhale, Ameya Chavan, S. Sonawane

{"title":"Leveraging ML Techniques for Image-based Freshness Index Prediction of Fruits and Vegetables","authors":"Atharva Gokhale, Ameya Chavan, S. Sonawane","doi":"10.1109/ESCI56872.2023.10100260","DOIUrl":"https://doi.org/10.1109/ESCI56872.2023.10100260","url":null,"abstract":"Freshness is a prime factor of consideration when purchasing consumables like fruits and vegetables. Studies have proven that Computer Vision can be successfully involved in classifying fresh and stale fruits and vegetables and measuring their freshness to some extent. This work attempts to determine and analyze the freshness of fruits and vegetables from their images by proposing a Machine Learning methodology. The entire study was divided into two steps. The first step focused on obtaining classification between images of fresh and stale fruits and vegetables. For this, we trained the ConvNeXt model on an open-source imagery dataset consisting of 12 classes, and it proved efficient by achieving an accuracy of 99.77%. The second step focused on analyzing how fresh a particular fruit or vegetable is from its image. We achieved this by using an open-source dataset of tomato images and extracting features specific to the texture, shape, and colour from these images. Further, we trained classification models on these extracted features and presented the results as quantitative measures with scores of 10 for each of these three factors. Thus, we attempted to achieve an in-depth freshness analysis by grading the images based on these three critical factors while defining freshness.","PeriodicalId":441215,"journal":{"name":"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131447638","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: 1

IOT based Temperature and Oxygen level monitoring and Data visualization 基于物联网的温度和氧气水平监测和数据可视化

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10099622

Deshmukh Vaishnavi Vishvanath, Arjun Pranav Ramchandra, Mamta Koban

引用次数: 0

A Machine Learning Approach to Statistical Analysis and Prediction of Rainfall and Drought in the Marathwada Subregion 马拉特瓦达地区降雨和干旱统计分析与预测的机器学习方法

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10099499

Chandrakant M. Kadam, S. Kale, U. Bhosle, R. S. Holambe

{"title":"A Machine Learning Approach to Statistical Analysis and Prediction of Rainfall and Drought in the Marathwada Subregion","authors":"Chandrakant M. Kadam, S. Kale, U. Bhosle, R. S. Holambe","doi":"10.1109/ESCI56872.2023.10099499","DOIUrl":"https://doi.org/10.1109/ESCI56872.2023.10099499","url":null,"abstract":"Monitoring, mitigating, and forecasting rainfall has been a concern on a global basis up to now. Numerous natural disasters, such as drought, are directly related to it and are impacted by it. Drought is the most hazardous of all the disasters. Identifying drought is difficult as it has no universal definition. It varies from region to region and climate to climate. There are various contributing factors in the judgment. It can be regional resources like climate, soil type, flora and fauna, precipitation, crop culture, etc. Also, many indicators are available that can define a drought and its type. Scientists have tried to find the most reliable indicator to identify the drought. They have concluded that no best indicator exists. In order to find the best fit, researchers recommend focusing on regional resources. The goal of the study is to make an analysis of the rainfall in the semi-arid region of Marathwada and implement a suitable machine learning approach to enhance the outcome. Over 41 years of regional precipitation data are used for the analysis. The monthly rainfall data is prepared for this study. Time series data is modelled with a machine learning approach.","PeriodicalId":441215,"journal":{"name":"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"528 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132388085","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: 1

A Solution to finding Fruit Freshness Index using Computer Vision 一种利用计算机视觉寻找水果新鲜度指数的方法

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10100290

S. Raja, T.R. Vijay Srivatsan, G. Maragatham

{"title":"A Solution to finding Fruit Freshness Index using Computer Vision","authors":"S. Raja, T.R. Vijay Srivatsan, G. Maragatham","doi":"10.1109/ESCI56872.2023.10100290","DOIUrl":"https://doi.org/10.1109/ESCI56872.2023.10100290","url":null,"abstract":"Fruits have now become a product to the market's eye, as fruits being the top recommended food to be consumed for better health, the prices drive higher and higher day by day. The main reason for the increase in the price of fruits is the manual labor behind it. It is the sorting and grading done by such humans which takes a prolonged period of time, inconsistent, onerous, subjective, variable, costly and influenced by other factors such as the environment around them which holds these fruits at an untouchable rate to the normal low paid consumers. To tackle this and hopefully reduce the rising price in fruits we have come up with a solution that a Fruit freshness System needs to be put in place. As computer vision has been used by many researchers to sort and grade fruits, we decided the best way to aid our solution would be by the implementation of Computer Vision. The summary of this paper is that it provides an overview of the many methods which have been implemented to reduce and lower the manual labor in the grading and sorting of fruits in the market i.e., feature extraction, segmentation, preprocessing, classification which addresses the fruits and the quality of the fruits based on texture, color, shape, size, and it's defects. These steps lead to a much more accurate shelf-life date of the fruits which also tackles the problem of food wastage, this will decrease the wastage of fruits from turning spoiled much earlier than expected.","PeriodicalId":441215,"journal":{"name":"2023 International Conference on Emerging Smart Computing and Informatics (ESCI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126117989","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

Improve Communication Skills using AI 利用人工智能提高沟通技巧

2023 International Conference on Emerging Smart Computing and Informatics (ESCI) Pub Date : 2023-03-01 DOI: 10.1109/ESCI56872.2023.10099941

Swati V. Jadhav, Sandip Shinde, Devanshu K. Dalal, Tanishq M. Deshpande, Avinash S. Dhakne, Yash M. Gaherwar

引用次数: 0