Pub Date : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243443
Astha Mohta, Atishay Jain, Aditi Saluja, S. Dahiya
WhatsApp is among the popular social media service with over 2 billion registered users. WhatsApp is integral in people's life as a medium of communication. They use WhatsApp to share their feelings through text messages. With WhatsApp present in over 180 countries, code-switching is common. Along with this, with the increase in usage and prevalence of emojis, emojis have become indispensable during sentiment analysis. Throughout this paper, our approach to convert unstructured WhatsApp messages to a structured form is discussed on which various data mining techniques for sentiment analysis can be performed. Our approach to deal with code-mixing, different emojis and the emotions they depict, and finally, perform basic analysis using this algorithm is discussed.
{"title":"Pre-Processing and Emoji Classification of WhatsApp Chats for Sentiment Analysis","authors":"Astha Mohta, Atishay Jain, Aditi Saluja, S. Dahiya","doi":"10.1109/I-SMAC49090.2020.9243443","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243443","url":null,"abstract":"WhatsApp is among the popular social media service with over 2 billion registered users. WhatsApp is integral in people's life as a medium of communication. They use WhatsApp to share their feelings through text messages. With WhatsApp present in over 180 countries, code-switching is common. Along with this, with the increase in usage and prevalence of emojis, emojis have become indispensable during sentiment analysis. Throughout this paper, our approach to convert unstructured WhatsApp messages to a structured form is discussed on which various data mining techniques for sentiment analysis can be performed. Our approach to deal with code-mixing, different emojis and the emotions they depict, and finally, perform basic analysis using this algorithm is discussed.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128050345","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243580
N. C, Sanket Salvi, Nithin D Jacob, Sumeet Kumar
In this paper, the design and implementation of an indoor localization and positioning system using four low-cost microphones is proposed. The proposed design leverages architectural advantages of Real-time Onsite Operations Facilitation (ROOF) computing standards. The data collected from deployed sound sensors is used for training the system. Three machine learning algorithms are compared with respect to computational time required for training and testing. Further, an IoT application is demonstrated using the proposed framework which could be integrated with a smart home device control system for providing location based context for device control.
{"title":"A ROOF Computing Architecture based Indoor Positioning System for IoT Applications","authors":"N. C, Sanket Salvi, Nithin D Jacob, Sumeet Kumar","doi":"10.1109/I-SMAC49090.2020.9243580","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243580","url":null,"abstract":"In this paper, the design and implementation of an indoor localization and positioning system using four low-cost microphones is proposed. The proposed design leverages architectural advantages of Real-time Onsite Operations Facilitation (ROOF) computing standards. The data collected from deployed sound sensors is used for training the system. Three machine learning algorithms are compared with respect to computational time required for training and testing. Further, an IoT application is demonstrated using the proposed framework which could be integrated with a smart home device control system for providing location based context for device control.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128128746","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243371
A. S. Sangeetha, S. Shunmugan, G. Murugan
Blockchain will increase supply chains' productivity and accountability, and have a positive effect on anything from warehousing to distribution to payment. To bridge the supply chain visibility gap, blockchain is being deployed because of its security features like immutability, tamper-resistant and hash proof. Blockchain integration with IoT increases the traceability and verifiability of the supply chain management and drastically eradicates the fraudulent activities including bribery, money laundering, forged checks, sanction violations, misrepresentation of goods and services. Blockchain can help to cross-check the verification, identification and authenticity of IoT devices to reduce the frequency and ramifications of fraud in supply chain management. The epidemic outbreak of SARS-CoV-2 has disrupted many global supply chains. The Geneva-based World Economic Forum declared that SARS-CoV-2 exposed supply chain failures can be tackled by blockchain technology. This paper explores the modern methodologies of supply chain management with integration of blockchain and IoT.
{"title":"Blockchain for IoT Enabled Supply Chain Management - A Systematic Review","authors":"A. S. Sangeetha, S. Shunmugan, G. Murugan","doi":"10.1109/I-SMAC49090.2020.9243371","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243371","url":null,"abstract":"Blockchain will increase supply chains' productivity and accountability, and have a positive effect on anything from warehousing to distribution to payment. To bridge the supply chain visibility gap, blockchain is being deployed because of its security features like immutability, tamper-resistant and hash proof. Blockchain integration with IoT increases the traceability and verifiability of the supply chain management and drastically eradicates the fraudulent activities including bribery, money laundering, forged checks, sanction violations, misrepresentation of goods and services. Blockchain can help to cross-check the verification, identification and authenticity of IoT devices to reduce the frequency and ramifications of fraud in supply chain management. The epidemic outbreak of SARS-CoV-2 has disrupted many global supply chains. The Geneva-based World Economic Forum declared that SARS-CoV-2 exposed supply chain failures can be tackled by blockchain technology. This paper explores the modern methodologies of supply chain management with integration of blockchain and IoT.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130258122","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243436
Soham Parlikar
In today's scenario sleeplessness or insomnia remain a major problem. Various reasons for insomnia include anxiety, stress, depression, etc. This causes reduced quality of sleep which results in a negative impact on the neurological functions of the body. For the people without insomnia also some factors result in the pessimistic functioning of the brain which includes radiations that are emitted from the cell phone devices or radiation from any electronic devices. Those radiations are not able to see but a huge impact affects the neurological functions of the body which majorly includes the brain. In this research paper, a system which is an IoT enabled pillow is used to notify the user regarding the radiation devices near his head and give a massage to the two pressure points which are called as “wind pool points”, This process is termed as Occipital osteopathy and is used as a relaxation therapy to overcome insomnia and reduce stress which results in increased quality of sleep. The pillow also consists of temperature measurement, heart rate measurement, posture management, sound frequency of 432hz. All these features are automated and can be accessed through a mobile application.
{"title":"Occipital Osteopathy and Radiation Detection for reducing insomnolence using IoT enabled pillow","authors":"Soham Parlikar","doi":"10.1109/I-SMAC49090.2020.9243436","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243436","url":null,"abstract":"In today's scenario sleeplessness or insomnia remain a major problem. Various reasons for insomnia include anxiety, stress, depression, etc. This causes reduced quality of sleep which results in a negative impact on the neurological functions of the body. For the people without insomnia also some factors result in the pessimistic functioning of the brain which includes radiations that are emitted from the cell phone devices or radiation from any electronic devices. Those radiations are not able to see but a huge impact affects the neurological functions of the body which majorly includes the brain. In this research paper, a system which is an IoT enabled pillow is used to notify the user regarding the radiation devices near his head and give a massage to the two pressure points which are called as “wind pool points”, This process is termed as Occipital osteopathy and is used as a relaxation therapy to overcome insomnia and reduce stress which results in increased quality of sleep. The pillow also consists of temperature measurement, heart rate measurement, posture management, sound frequency of 432hz. All these features are automated and can be accessed through a mobile application.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130850230","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}
Differential amplifier is an analog component. which is used as an amplifier whenever a circuit contains more than one input. A differential amplifier is a basic primitive component in an operational amplifier. Differential amplifier contains three legs. In which two legs for the input signal to be amplified, the third leg used as output. The differential amplifier can be configured by bipolar technology or with Metal oxide semiconductor technology also. When the input non-inverted leg which acts as a comparator is applied as input, if any signal applied to invert leg of the differential amplifier it will be used as an amplifier. In this proposed article, the operational amplifier with high gain of 72dB is implemented, the Slew rate of 122 V/µs, Gain bandwidth product of 4.60 MHz Dual-stage operational amplifier will enhance the amplification in a better way when the single-stage amplifier is compared In this article, a dual-stage operational amplifier using CMOS 45nm Technology is implemented.
{"title":"Design High gain dual stage operational amplifier using CMOS 45nm Technology","authors":"Srilakshmi Ravali Madabhushanam, Lalitha Malladi, Soumya Reddy Gudepu","doi":"10.1109/I-SMAC49090.2020.9243590","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243590","url":null,"abstract":"Differential amplifier is an analog component. which is used as an amplifier whenever a circuit contains more than one input. A differential amplifier is a basic primitive component in an operational amplifier. Differential amplifier contains three legs. In which two legs for the input signal to be amplified, the third leg used as output. The differential amplifier can be configured by bipolar technology or with Metal oxide semiconductor technology also. When the input non-inverted leg which acts as a comparator is applied as input, if any signal applied to invert leg of the differential amplifier it will be used as an amplifier. In this proposed article, the operational amplifier with high gain of 72dB is implemented, the Slew rate of 122 V/µs, Gain bandwidth product of 4.60 MHz Dual-stage operational amplifier will enhance the amplification in a better way when the single-stage amplifier is compared In this article, a dual-stage operational amplifier using CMOS 45nm Technology is implemented.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130944506","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243362
Divya S. Hadke, R. Babu
Cloud computing is one of the emerging technologies that push many association customers to the next level. Security is one of the big challenges of this invention. Biometric systems ensure only that a genuine customer or an authenticated user, and no one else, should be able to access the administration. Customers are interpreted by biometric systems based on their comfortability or physiological attributes. In fact, the key purpose of cloud computing is to provide accurate information. It includes testing the use of TPA for unauthorized access. This work performs ensuring information and information recovery on the off chance that someone is misusing it. This operation is assigned to a Proxy server. The customer information will be put a way in the cloud's public and private field. The aim is to get customer information from the public cloud and to protect the private cloud. After some unapproved change is made, the first in the private cloud information will be returned to the client via proxy server. This paper reproduces a security system in which several biometric fingerprints are brought to the table in the center of the registration for the administration. In addition to biometric photo-preparing procedures for fingerprint recognition, the way to combine traditional customer identifications and hidden key components is investigated entirely to enhance public cloud health. The possibility that “biometry measurements as a software” will pose another cloud advantage is also studied.
{"title":"Privacy-Preserving and Public Auditing for Regenerating-Code-Based Cloud Storage Using Finger Print Authentication","authors":"Divya S. Hadke, R. Babu","doi":"10.1109/I-SMAC49090.2020.9243362","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243362","url":null,"abstract":"Cloud computing is one of the emerging technologies that push many association customers to the next level. Security is one of the big challenges of this invention. Biometric systems ensure only that a genuine customer or an authenticated user, and no one else, should be able to access the administration. Customers are interpreted by biometric systems based on their comfortability or physiological attributes. In fact, the key purpose of cloud computing is to provide accurate information. It includes testing the use of TPA for unauthorized access. This work performs ensuring information and information recovery on the off chance that someone is misusing it. This operation is assigned to a Proxy server. The customer information will be put a way in the cloud's public and private field. The aim is to get customer information from the public cloud and to protect the private cloud. After some unapproved change is made, the first in the private cloud information will be returned to the client via proxy server. This paper reproduces a security system in which several biometric fingerprints are brought to the table in the center of the registration for the administration. In addition to biometric photo-preparing procedures for fingerprint recognition, the way to combine traditional customer identifications and hidden key components is investigated entirely to enhance public cloud health. The possibility that “biometry measurements as a software” will pose another cloud advantage is also studied.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133565569","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243594
D. Selvapandian, Thamba Meshach W, K.S.Suresh Babu, R. Dhanapal, J. D
Opinion mining concept is deployed to predict the trainer evaluation with student's feedback. To examine this feedback concept, where opinion examination helps to distinguish how students are communicated in writings and whether the articulations demonstrate positive (ideal) or negative (troublesome) and conclusions toward the subject. In this research work efficient fusion based neural network (EF-NN) classifier is introduced to predict the frequent context patterns used in the student feedback dataset. Our proposed EF-NN is a hybrid model of both support vector machine and convolutional neural network. Student feedback data set is extracted based on attribute features like the interaction between the students, examination, and notes given, etc., Experimental results can be evaluated on weka toolbox based on this result negative and positive details are collected to improve the efficiency of teaching by faculty to provide the enhanced training. Finally, the result of the accuracy, recall, and precision is compared with the existing K-means clustering method.
{"title":"An Efficient Sentiment Analysis on Feedback Assessment from Student to Provide Better Education","authors":"D. Selvapandian, Thamba Meshach W, K.S.Suresh Babu, R. Dhanapal, J. D","doi":"10.1109/I-SMAC49090.2020.9243594","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243594","url":null,"abstract":"Opinion mining concept is deployed to predict the trainer evaluation with student's feedback. To examine this feedback concept, where opinion examination helps to distinguish how students are communicated in writings and whether the articulations demonstrate positive (ideal) or negative (troublesome) and conclusions toward the subject. In this research work efficient fusion based neural network (EF-NN) classifier is introduced to predict the frequent context patterns used in the student feedback dataset. Our proposed EF-NN is a hybrid model of both support vector machine and convolutional neural network. Student feedback data set is extracted based on attribute features like the interaction between the students, examination, and notes given, etc., Experimental results can be evaluated on weka toolbox based on this result negative and positive details are collected to improve the efficiency of teaching by faculty to provide the enhanced training. Finally, the result of the accuracy, recall, and precision is compared with the existing K-means clustering method.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"225 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132447418","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243495
N. Niran, D. Das, Dipak Das, S. Banerjee
Human beings do not have control over nature. The casualties in natural calamities due to poor governance and non-availability of essential products like food, medicine and safe drinking water is the biggest loss and it has been a very challenging task for many countries. In this paper, an intelligent system has been proposed which would not only save affected people from hunger but also saves them from thirst and infectious diseases. Moreover, the system has been designed in such a way that people could get the full benefit by applying certain constraints and conditions. The system is also able to provide drinkable water to the people in need by taking dirty water as the input through a natural filtration system. The dispensers have been designed to ensure hassle-free distribution of essentials.
{"title":"Design of Food, Medicine & Water Dispensing Automation Device","authors":"N. Niran, D. Das, Dipak Das, S. Banerjee","doi":"10.1109/I-SMAC49090.2020.9243495","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243495","url":null,"abstract":"Human beings do not have control over nature. The casualties in natural calamities due to poor governance and non-availability of essential products like food, medicine and safe drinking water is the biggest loss and it has been a very challenging task for many countries. In this paper, an intelligent system has been proposed which would not only save affected people from hunger but also saves them from thirst and infectious diseases. Moreover, the system has been designed in such a way that people could get the full benefit by applying certain constraints and conditions. The system is also able to provide drinkable water to the people in need by taking dirty water as the input through a natural filtration system. The dispensers have been designed to ensure hassle-free distribution of essentials.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134639553","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243568
K. Manjari
Reading large and lengthy documents is a tedious and time-consuming task. A summary of the same document gives us an overall idea of what the document is all about. Automated summaries can be generated using various algorithms. The summary can be generated for single or multiple document inputs. Here the proposed system carries out extractive summarization of multiple Telugu text documents. The algorithm applied here is text rank algorithm.
{"title":"Extractive Summarization of Telugu Documents using TextRank Algorithm","authors":"K. Manjari","doi":"10.1109/I-SMAC49090.2020.9243568","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243568","url":null,"abstract":"Reading large and lengthy documents is a tedious and time-consuming task. A summary of the same document gives us an overall idea of what the document is all about. Automated summaries can be generated using various algorithms. The summary can be generated for single or multiple document inputs. Here the proposed system carries out extractive summarization of multiple Telugu text documents. The algorithm applied here is text rank algorithm.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131400570","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 : 2020-10-07DOI: 10.1109/I-SMAC49090.2020.9243563
Rama Moorthy H, Vijeth Upadhya, Vidyesh V Holla, Sunil S Shetty, Vinay Tantry
Most often a prominent IoT application in a residential area and office spaces for simple surveillance. Challenge wrests in the legal systems nowadays to any developing nations, especially in those nations where the density of populations is more than normal. Here a huge task-force is required to monitor and maintain law and order situations across the loop and corner of the cities and villages. CCTV's is deployed to at-least capture some part of the busy streets and at a server room; it is being monitored by some officials. With a large number of data being produced as part of criminals, suspects, missing profiles, etc., it would be difficult for any officials to keep track of those data sets manually. Hence if a smart system can be used to process the videos as and when it is captured, one can say 90% of the task of monitoring the busy streets can be achieved. In this paper, it is possible to review the works/algorithms based on four categories for building fast, efficient, and accurate Surveillance Systems, i.e., face detection, face recognition, video/image processing, pattern matching in a video surveillance system. The investigation in these recent advancements will help one to build a better surveillance system.
{"title":"Challenges Encountered in Building A Fast and Efficient Surveillance System: An Overview","authors":"Rama Moorthy H, Vijeth Upadhya, Vidyesh V Holla, Sunil S Shetty, Vinay Tantry","doi":"10.1109/I-SMAC49090.2020.9243563","DOIUrl":"https://doi.org/10.1109/I-SMAC49090.2020.9243563","url":null,"abstract":"Most often a prominent IoT application in a residential area and office spaces for simple surveillance. Challenge wrests in the legal systems nowadays to any developing nations, especially in those nations where the density of populations is more than normal. Here a huge task-force is required to monitor and maintain law and order situations across the loop and corner of the cities and villages. CCTV's is deployed to at-least capture some part of the busy streets and at a server room; it is being monitored by some officials. With a large number of data being produced as part of criminals, suspects, missing profiles, etc., it would be difficult for any officials to keep track of those data sets manually. Hence if a smart system can be used to process the videos as and when it is captured, one can say 90% of the task of monitoring the busy streets can be achieved. In this paper, it is possible to review the works/algorithms based on four categories for building fast, efficient, and accurate Surveillance Systems, i.e., face detection, face recognition, video/image processing, pattern matching in a video surveillance system. The investigation in these recent advancements will help one to build a better surveillance system.","PeriodicalId":432766,"journal":{"name":"2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)","volume":"294 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115188921","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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