Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765126
Pramod Mathew Jacob, Jeni Moni, Roja Baby Robins, Merlin Elizabeth Varghese, Sherlin Sosa Babu, Vismaya K Bose
Fire accidents are one of the major problems facing in our society. Fire detection and extinguishing should be done efficiently to decrease the risk of fire accidents. Currently fire rescue men are doing services to extinguish fire. But in some cases, it may lead to the loss of lives of firemen. This paper proposes an intelligent mini fire-fighting robot using Arduino UNO for this purpose. The proposed robot will detect and extinguish fire automatically without human intervention. The robot can also be manually controlled using an Android App to extinguish fire. The Android app also notifies the user about the fire outbreak through alert messages and alarm. Thus, our system can be used in fire outbreak situations to detect and extinguish fire in an efficient and effective manner.
{"title":"An Intelligent Fire Detection and Extinguishing Assistant System Using Internet of Things (IoT)","authors":"Pramod Mathew Jacob, Jeni Moni, Roja Baby Robins, Merlin Elizabeth Varghese, Sherlin Sosa Babu, Vismaya K Bose","doi":"10.1109/DASA54658.2022.9765126","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765126","url":null,"abstract":"Fire accidents are one of the major problems facing in our society. Fire detection and extinguishing should be done efficiently to decrease the risk of fire accidents. Currently fire rescue men are doing services to extinguish fire. But in some cases, it may lead to the loss of lives of firemen. This paper proposes an intelligent mini fire-fighting robot using Arduino UNO for this purpose. The proposed robot will detect and extinguish fire automatically without human intervention. The robot can also be manually controlled using an Android App to extinguish fire. The Android app also notifies the user about the fire outbreak through alert messages and alarm. Thus, our system can be used in fire outbreak situations to detect and extinguish fire in an efficient and effective manner.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"54 83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114784689","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}
Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765281
Ozen Gunal, M. Akpinar, Kevser Ovaz Akpinar
Insulation is one of the essential energy efficiency and sustainability topics. While insulation is primarily the subject of buildings, insulation can also be made in pipes and heat exchangers in the factory environment. In the first example of this study, the insulation material that should be used for the specified heat loss in the case of a basic circular heat source being covered with insulation material was determined, while in the second case, the targeted insulation thickness with the accepted maximum heat loss and insulation material coefficient was tried to be determined. The results obtained show that errors were zero in particle swarm optimization (PSO) and artificial bee colony (ABC) algorithms in the first case. In the second case, PSO, ABC, and firefly (FA) optimization algorithms have the lowest average error with 3x10-5%, 1x10-5%, 3x10-5%, respectively.
{"title":"Determination of Insulation Parameters with Optimization Algorithms","authors":"Ozen Gunal, M. Akpinar, Kevser Ovaz Akpinar","doi":"10.1109/DASA54658.2022.9765281","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765281","url":null,"abstract":"Insulation is one of the essential energy efficiency and sustainability topics. While insulation is primarily the subject of buildings, insulation can also be made in pipes and heat exchangers in the factory environment. In the first example of this study, the insulation material that should be used for the specified heat loss in the case of a basic circular heat source being covered with insulation material was determined, while in the second case, the targeted insulation thickness with the accepted maximum heat loss and insulation material coefficient was tried to be determined. The results obtained show that errors were zero in particle swarm optimization (PSO) and artificial bee colony (ABC) algorithms in the first case. In the second case, PSO, ABC, and firefly (FA) optimization algorithms have the lowest average error with 3x10-5%, 1x10-5%, 3x10-5%, respectively.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129859337","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}
Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765149
See Yong Shu, Wan Hussain Wan Ishak, Fadhilah Mat Yamin
Today, the Internet has become one of the most essential media for disseminating information, particularly in the field of tourism. When it comes to organising a trip, most people will seek assistance. Existing travel websites, on the other hand, lack a suggestion feature that can recommend ideal locations based on the wants and requirements of customers. As a result, users had difficulty planning their vacations. In this article, an interesting place recommender system for travellers is proposed. The proposed system is a website application that provides a list of recommended places for users based on their background. In greater detail, this recommender system will compare the users' information to the history of other tourists and suggest a suitable trip destination for the user. The waterfall model, which is a step-by-step approach to designing an application, was used to develop this application. Thirty-one people were asked to use and test the system as part of the system evaluation. The results suggest that the system performs well, and the majority of respondents were pleased with the proposed system.
{"title":"A Web-based Application for Interesting Place Recommendation","authors":"See Yong Shu, Wan Hussain Wan Ishak, Fadhilah Mat Yamin","doi":"10.1109/DASA54658.2022.9765149","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765149","url":null,"abstract":"Today, the Internet has become one of the most essential media for disseminating information, particularly in the field of tourism. When it comes to organising a trip, most people will seek assistance. Existing travel websites, on the other hand, lack a suggestion feature that can recommend ideal locations based on the wants and requirements of customers. As a result, users had difficulty planning their vacations. In this article, an interesting place recommender system for travellers is proposed. The proposed system is a website application that provides a list of recommended places for users based on their background. In greater detail, this recommender system will compare the users' information to the history of other tourists and suggest a suitable trip destination for the user. The waterfall model, which is a step-by-step approach to designing an application, was used to develop this application. Thirty-one people were asked to use and test the system as part of the system evaluation. The results suggest that the system performs well, and the majority of respondents were pleased with the proposed system.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127394247","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}
Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9764992
Nur Arifin Akbar, Amgad Muneer, S. Taib, Suliman Mohamed Fati
COVID-19 leads us to have a social distancing even for health-treatment. In this study, we attempt to estimate heart rates in humans using camera-based remote photoplethysmography (rPPG) methods, which are named after conventional PPG methods. The basic concept is focused on capturing minute variations in skin color during the human body's cardiac cycle, which involves the inflow and outflow of blood from the heart to other body parts. We have compared the performance of different methods of Blind Source Separation and face detection which form an integral part in accurately calculating the heart rate. Purpose: The purpose of this method was comparing the actual heart rate with a tuned parameter of Face Video Heart Rate estimation with CNN and OpenCV haar-cascade. Patients and methods: Videos in the dataset are run through a face detection model to get the region of interest for heart rate calculation. Source signals are converted to frequency domain for filtering and peak detection to obtain heart rate estimates Results: Face segmentation using Convolution Neural Network gives better results than the Haar Cascade OpenCV face detection module, which is as expected. Conclusion: Face segmentation using Convolution Neural Network gives better results than the Haar Cascade OpenCV face detection module. CNNs are slower to detect faces than the Open-CV module. Choosing an ROI by segmenting out facial pixels helped to keep the outliers low and therefore increased the robustness.
{"title":"Measuring Accuracy Towards Facial Video Heart-Rate Estimation Using Haar-Cascade and CNN Method","authors":"Nur Arifin Akbar, Amgad Muneer, S. Taib, Suliman Mohamed Fati","doi":"10.1109/DASA54658.2022.9764992","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9764992","url":null,"abstract":"COVID-19 leads us to have a social distancing even for health-treatment. In this study, we attempt to estimate heart rates in humans using camera-based remote photoplethysmography (rPPG) methods, which are named after conventional PPG methods. The basic concept is focused on capturing minute variations in skin color during the human body's cardiac cycle, which involves the inflow and outflow of blood from the heart to other body parts. We have compared the performance of different methods of Blind Source Separation and face detection which form an integral part in accurately calculating the heart rate. Purpose: The purpose of this method was comparing the actual heart rate with a tuned parameter of Face Video Heart Rate estimation with CNN and OpenCV haar-cascade. Patients and methods: Videos in the dataset are run through a face detection model to get the region of interest for heart rate calculation. Source signals are converted to frequency domain for filtering and peak detection to obtain heart rate estimates Results: Face segmentation using Convolution Neural Network gives better results than the Haar Cascade OpenCV face detection module, which is as expected. Conclusion: Face segmentation using Convolution Neural Network gives better results than the Haar Cascade OpenCV face detection module. CNNs are slower to detect faces than the Open-CV module. Choosing an ROI by segmenting out facial pixels helped to keep the outliers low and therefore increased the robustness.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130739146","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}
Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765089
Maulidar Agustina, M. S. Abd. Majid, Said Musnadi, F. Faisal, H. Hafasnuddin, S. Suriani
The main aim of this study is to examine how the role of Islamic banks, economic growth, and price stability on poverty reduction in Indonesia from 2010 to 2019. Total Financing (TF), Financing to Deposit Ratio (FDR), Non-Performing Financing (NPF), Return on Assets (ROA), and Third-Party Funds (TPF) monthly time series data were used to measure Islamic banking role, while economic growth, price stability, and poverty, were measured by Industrial Production Index (IPI), Consumer Price Index (CPI), and Poverty headcount ratio (POV), respectively. The short- and long-term effects of Islamic banks, economic growth, and price stability on poverty reduction in Indonesia are examined using an Autoregressive Distributed Lag (ARDL) bound test. The study documented that Islamic banking, economic growth, and price stability had a significant short and long-term effects on poverty reduction. These findings offer various key implications for the banking industry and policymakers in order to eradicate poverty through strengthening economic growth, Islamic banking sector, and price stability. The Islamic banking industry should provide a quality of financing allocation to promote economic growth and price stability that, in turn, reduce poverty.
{"title":"Islamic Banking, Economic Growth, and Poverty Reduction in Indonesia","authors":"Maulidar Agustina, M. S. Abd. Majid, Said Musnadi, F. Faisal, H. Hafasnuddin, S. Suriani","doi":"10.1109/DASA54658.2022.9765089","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765089","url":null,"abstract":"The main aim of this study is to examine how the role of Islamic banks, economic growth, and price stability on poverty reduction in Indonesia from 2010 to 2019. Total Financing (TF), Financing to Deposit Ratio (FDR), Non-Performing Financing (NPF), Return on Assets (ROA), and Third-Party Funds (TPF) monthly time series data were used to measure Islamic banking role, while economic growth, price stability, and poverty, were measured by Industrial Production Index (IPI), Consumer Price Index (CPI), and Poverty headcount ratio (POV), respectively. The short- and long-term effects of Islamic banks, economic growth, and price stability on poverty reduction in Indonesia are examined using an Autoregressive Distributed Lag (ARDL) bound test. The study documented that Islamic banking, economic growth, and price stability had a significant short and long-term effects on poverty reduction. These findings offer various key implications for the banking industry and policymakers in order to eradicate poverty through strengthening economic growth, Islamic banking sector, and price stability. The Islamic banking industry should provide a quality of financing allocation to promote economic growth and price stability that, in turn, reduce poverty.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130276973","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}
Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765316
Maysaa Jaafar, F. Ben Abdelaziz, B. Maddah
We analyze the impact of pandemics disruptions on the decision related to supply chain management. Two models are developed and a closed-form solution is obtained for the optimal order size. In our first model, we consider the classical EOQ (Economic Order Quantity) model with Bernoulli supply having a disruption probability related to the pandemic situation. In our second model, we consider the classical EOQ (Economic Order Quantity) model with Binomial supply under pandemic situation. At last, we suggest ideas for future research.
{"title":"Applications of Pandemics Impact on Supply Chain Decisions","authors":"Maysaa Jaafar, F. Ben Abdelaziz, B. Maddah","doi":"10.1109/DASA54658.2022.9765316","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765316","url":null,"abstract":"We analyze the impact of pandemics disruptions on the decision related to supply chain management. Two models are developed and a closed-form solution is obtained for the optimal order size. In our first model, we consider the classical EOQ (Economic Order Quantity) model with Bernoulli supply having a disruption probability related to the pandemic situation. In our second model, we consider the classical EOQ (Economic Order Quantity) model with Binomial supply under pandemic situation. At last, we suggest ideas for future research.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123305841","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}
Pub Date : 2022-03-23DOI: 10.1109/dasa54658.2022.9765018
{"title":"[Copyright notice]","authors":"","doi":"10.1109/dasa54658.2022.9765018","DOIUrl":"https://doi.org/10.1109/dasa54658.2022.9765018","url":null,"abstract":"","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121450512","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}
Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765022
Wan Noor Aziela Isma Wan Zarilla, Mohd Nasir Ismail, Mohamad Rahimi Mohamad Rosman
A knowledge management system is required to ultimately enable an organization to realize its knowledge management objectives. The organization has several issues with this system, including deciding whether to adopt it or not, and, in the latter case, whether users would accept working with it. This study aims to determine the impact of human behavioural factors (HBFs), such as emotion, on group processes, as well as the impact of these processes on individuals' attitudes and emotions, character, values and beliefs, perspective and motivation, and knowledge management system–cycles (KMS-Cs). In addition, knowledge management systems are adopted at both the organizational and individual levels. Many factors influence an organization’s decision to adopt knowledge management systems, including corporate culture and top management support. Various circumstances also influence users' acceptance, and naturally, the amount of acceptance affects the knowledge management system’s effectiveness. Although an effective knowledge management system (KMS) is a critical strategy for organizations to obtain sustained competitive advantages, little research has been undertaken to determine what factors contribute to the success of KMS.
{"title":"Investigating the critical human behaviour elements and their implications for knowledge management systems: A Literature Review","authors":"Wan Noor Aziela Isma Wan Zarilla, Mohd Nasir Ismail, Mohamad Rahimi Mohamad Rosman","doi":"10.1109/DASA54658.2022.9765022","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765022","url":null,"abstract":"A knowledge management system is required to ultimately enable an organization to realize its knowledge management objectives. The organization has several issues with this system, including deciding whether to adopt it or not, and, in the latter case, whether users would accept working with it. This study aims to determine the impact of human behavioural factors (HBFs), such as emotion, on group processes, as well as the impact of these processes on individuals' attitudes and emotions, character, values and beliefs, perspective and motivation, and knowledge management system–cycles (KMS-Cs). In addition, knowledge management systems are adopted at both the organizational and individual levels. Many factors influence an organization’s decision to adopt knowledge management systems, including corporate culture and top management support. Various circumstances also influence users' acceptance, and naturally, the amount of acceptance affects the knowledge management system’s effectiveness. Although an effective knowledge management system (KMS) is a critical strategy for organizations to obtain sustained competitive advantages, little research has been undertaken to determine what factors contribute to the success of KMS.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126569525","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}
Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765118
Abraham Mensah, S. Sriramula
Pipeline interacting corrosion defects usually occur in a cluster in such a way that the failure pressure is not controlled by a single defect. These metal loss defects can impair the service life of the pipeline that could lead to loss of containments and potential harm to the environment and facilities. Therefore, pipeline operators use deterministic and probabilistic integrity assessment to examine these corrosion defects to plan inspection, undertake repairs, or replacement of pipeline sections to prevent such incidents. However, the large amount of interacting metal loss defects captured by in-line inspection tools are generally assessed by conservative physics-based formulations, which are mostly centered on the composite single defect approach to determine the burst pressures. The need to accurately predict the failure pressure of the large amount of clustered corrosion defects in the pipeline requires a computationally efficient machine learning approach that can accommodate variability of the input data effectively. Hence, for this research, categorical machine learning models are trained, validated, and tested using published experimental burst pressure of corrosion cluster with the same defect depth for a test sample. The paper presents this approach, where the predicted pipeline failure pressure of the corrosion clusters captured by real in-line inspection are assessed by generated artificial neural networks and non-linear regression models that provides a total mean deviation percent of 2.52% and 9.36% respectively better than the current models in the literature. This approach provides a pathway for effective decisions by pipeline operators, in reducing pipeline operating and maintenance costs safely.
{"title":"Machine learning based integrity decision management of pipeline corrosion clusters","authors":"Abraham Mensah, S. Sriramula","doi":"10.1109/DASA54658.2022.9765118","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765118","url":null,"abstract":"Pipeline interacting corrosion defects usually occur in a cluster in such a way that the failure pressure is not controlled by a single defect. These metal loss defects can impair the service life of the pipeline that could lead to loss of containments and potential harm to the environment and facilities. Therefore, pipeline operators use deterministic and probabilistic integrity assessment to examine these corrosion defects to plan inspection, undertake repairs, or replacement of pipeline sections to prevent such incidents. However, the large amount of interacting metal loss defects captured by in-line inspection tools are generally assessed by conservative physics-based formulations, which are mostly centered on the composite single defect approach to determine the burst pressures. The need to accurately predict the failure pressure of the large amount of clustered corrosion defects in the pipeline requires a computationally efficient machine learning approach that can accommodate variability of the input data effectively. Hence, for this research, categorical machine learning models are trained, validated, and tested using published experimental burst pressure of corrosion cluster with the same defect depth for a test sample. The paper presents this approach, where the predicted pipeline failure pressure of the corrosion clusters captured by real in-line inspection are assessed by generated artificial neural networks and non-linear regression models that provides a total mean deviation percent of 2.52% and 9.36% respectively better than the current models in the literature. This approach provides a pathway for effective decisions by pipeline operators, in reducing pipeline operating and maintenance costs safely.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122339487","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}
Pub Date : 2022-03-23DOI: 10.1109/DASA54658.2022.9765171
Renju Rachel Varghese, Pramod Mathew Jacob, Midhun Shaji, A. R, E. John, Sebin Beebi Philip
Unassisted navigation, object recognition, obstacle avoidance, and reading activities are extremely difficult for people who are completely blind. For those who are visually impaired, we present a new form of assistive technology. Raspberry Pi 3 Model B+ was selected to illustrate the proposed prototype's capability because of its inexpensive price, compact size, and ease of integration. Incorporated within the design is a camera, sensors for obstacle avoidance, and powerful image processing algorithms for detecting and classifying objects. Both the camera and the ultrasonic sensors are used to determine the user's distance from the impediment. The image-to-text converter, followed by audio feedback, is integrated into the system. A typical pair of eyeglasses can be used to mount the entire system, which is small, light, and simple to use. Using 60 completely blind people, researchers compare the suggested device to the classic white cane in terms of performance. Controlled environments based on real-world scenarios are used to conduct the evaluations. In comparison to a white cane, the proposed device provides higher accessibility and comfort, as well as simplicity of navigation for visually impaired people.
{"title":"An Intelligent Voice Assistance System for Visually Impaired using Deep Learning","authors":"Renju Rachel Varghese, Pramod Mathew Jacob, Midhun Shaji, A. R, E. John, Sebin Beebi Philip","doi":"10.1109/DASA54658.2022.9765171","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765171","url":null,"abstract":"Unassisted navigation, object recognition, obstacle avoidance, and reading activities are extremely difficult for people who are completely blind. For those who are visually impaired, we present a new form of assistive technology. Raspberry Pi 3 Model B+ was selected to illustrate the proposed prototype's capability because of its inexpensive price, compact size, and ease of integration. Incorporated within the design is a camera, sensors for obstacle avoidance, and powerful image processing algorithms for detecting and classifying objects. Both the camera and the ultrasonic sensors are used to determine the user's distance from the impediment. The image-to-text converter, followed by audio feedback, is integrated into the system. A typical pair of eyeglasses can be used to mount the entire system, which is small, light, and simple to use. Using 60 completely blind people, researchers compare the suggested device to the classic white cane in terms of performance. Controlled environments based on real-world scenarios are used to conduct the evaluations. In comparison to a white cane, the proposed device provides higher accessibility and comfort, as well as simplicity of navigation for visually impaired people.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121097695","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}
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