Pub Date : 2021-07-01DOI: 10.1109/CCICT53244.2021.00061
Jay Patel, Umang Mehta, Kevin Panchal, Dev Tailor, Devam Zanzmera
In this paper, the text drawn by the user in the air is captured by the computer’s camera, followed by the identification of that text. So, the video camera will be turned on at the time of capturing the written text. Now the particular object is defined based on its colour to detect a movement done by the user. The colour is captured by the lower and upper bound of HSV (Hue Saturation Value), which finally leads to object detection at every instant. Lastly, the text will be recognized by the trained model. The model is trained by CNN (Convolution Neural Network) with an accuracy of 98.64% (training) and 98.24% (testing). For completion of the project, OpenCV, python programming language, and its libraries are used. This project requires only a camera and a defined object.
{"title":"Text Recognition by Air Drawing","authors":"Jay Patel, Umang Mehta, Kevin Panchal, Dev Tailor, Devam Zanzmera","doi":"10.1109/CCICT53244.2021.00061","DOIUrl":"https://doi.org/10.1109/CCICT53244.2021.00061","url":null,"abstract":"In this paper, the text drawn by the user in the air is captured by the computer’s camera, followed by the identification of that text. So, the video camera will be turned on at the time of capturing the written text. Now the particular object is defined based on its colour to detect a movement done by the user. The colour is captured by the lower and upper bound of HSV (Hue Saturation Value), which finally leads to object detection at every instant. Lastly, the text will be recognized by the trained model. The model is trained by CNN (Convolution Neural Network) with an accuracy of 98.64% (training) and 98.24% (testing). For completion of the project, OpenCV, python programming language, and its libraries are used. This project requires only a camera and a defined object.","PeriodicalId":213095,"journal":{"name":"2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT)","volume":"312 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115619358","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 : 2021-07-01DOI: 10.1109/CCICT53244.2021.00066
Jyotsna, P. Nand
Cloud computing, from a very long time has played an integral part in processing, analysing and managing large quantum of data related to heath care system. Healthcare IoT devices are responsible for generation, processing and integration of large volumes of data which is then stored in cloud servers. Nevertheless, this results in huge compromise by delay in response time, which is due to centralized location of cloud servers storing related data. This lag in response time could prove vital while dealing with critical patients like those presenting with cardiac arrest or myocardial infarction and other quality of service (QoS), thus proving the inefficacy of cloud computing in meeting such intense demand. In order to avoid such delay, it necessitates introduction of a novel technology such as Fog computing. In the present publication, we propose, fog computing architecture and the rationale in switching from cloud computing to fog computing for prompt response time.
{"title":"Fog Assisted-IoT Based Health Monitoring System","authors":"Jyotsna, P. Nand","doi":"10.1109/CCICT53244.2021.00066","DOIUrl":"https://doi.org/10.1109/CCICT53244.2021.00066","url":null,"abstract":"Cloud computing, from a very long time has played an integral part in processing, analysing and managing large quantum of data related to heath care system. Healthcare IoT devices are responsible for generation, processing and integration of large volumes of data which is then stored in cloud servers. Nevertheless, this results in huge compromise by delay in response time, which is due to centralized location of cloud servers storing related data. This lag in response time could prove vital while dealing with critical patients like those presenting with cardiac arrest or myocardial infarction and other quality of service (QoS), thus proving the inefficacy of cloud computing in meeting such intense demand. In order to avoid such delay, it necessitates introduction of a novel technology such as Fog computing. In the present publication, we propose, fog computing architecture and the rationale in switching from cloud computing to fog computing for prompt response time.","PeriodicalId":213095,"journal":{"name":"2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT)","volume":"9 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116931235","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 : 2021-07-01DOI: 10.1109/CCICT53244.2021.00057
Ashish Chopra, Rajat Gupta, Tanuj Kalra, Anmol Kesharwani
In the current scenario, we may have various duplicate audio clips in our devices which may came from different sources and may be of different name and tags but content wise they are same. So user will have unnecessary duplicate audio content which is not useful to him and also taking a lot space in the device and user might not aware of it. We propose a solution in which we aim towards the enhancement of user’s Memory management through the approach of music content analysis based upon big data analysis using data mining technique. So, to do deal with these problems, this paper proposes a novel approach of detecting duplicate audio contents using unique signature formation. The proposal enlists a content based mechanism which analyses data of the audio content of individual music files and employs big data analysis algorithm on it for detecting the duplicate audio content. This will be used to achieve memory optimization (by saving the memory) for device. In addition, the technique will also provide the user’s runtime experience to avoid the acceptance of duplicate data.
{"title":"Method and System for Rom optimization by detecting duplicate audio contents","authors":"Ashish Chopra, Rajat Gupta, Tanuj Kalra, Anmol Kesharwani","doi":"10.1109/CCICT53244.2021.00057","DOIUrl":"https://doi.org/10.1109/CCICT53244.2021.00057","url":null,"abstract":"In the current scenario, we may have various duplicate audio clips in our devices which may came from different sources and may be of different name and tags but content wise they are same. So user will have unnecessary duplicate audio content which is not useful to him and also taking a lot space in the device and user might not aware of it. We propose a solution in which we aim towards the enhancement of user’s Memory management through the approach of music content analysis based upon big data analysis using data mining technique. So, to do deal with these problems, this paper proposes a novel approach of detecting duplicate audio contents using unique signature formation. The proposal enlists a content based mechanism which analyses data of the audio content of individual music files and employs big data analysis algorithm on it for detecting the duplicate audio content. This will be used to achieve memory optimization (by saving the memory) for device. In addition, the technique will also provide the user’s runtime experience to avoid the acceptance of duplicate data.","PeriodicalId":213095,"journal":{"name":"2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116518455","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 : 2021-07-01DOI: 10.1109/CCICT53244.2021.00048
Rekha Nagar, Y. Singh, Vivek Jaglan, Meenakshi
People who travel for medical reasons are referred to as medical tourists and seeking medical care in a country other than their own. The key goal of medical tourism is to contribute low-cost special medical services for patients who need surgical and other types of specific treatment in cooperation with the tourism industry. Several international and domestic tourists prefer Maharashtra, Kerala, Karnataka, Goa and Gujarat for medical services and tourism. The nature, importance and difficulties in medical tourism in India are discussed in this paper. The popularity of medical tourism is growing world wide therefore needs computer science techniques to solve the problems risen in this field utilizing the massive amount of data produced by online platforms. Various machine learning algorithms and applications are discussed in this paper and also described the ML algorithms applied in medical tourism.
{"title":"A Review on Machine Learning Applications in Medical Tourism","authors":"Rekha Nagar, Y. Singh, Vivek Jaglan, Meenakshi","doi":"10.1109/CCICT53244.2021.00048","DOIUrl":"https://doi.org/10.1109/CCICT53244.2021.00048","url":null,"abstract":"People who travel for medical reasons are referred to as medical tourists and seeking medical care in a country other than their own. The key goal of medical tourism is to contribute low-cost special medical services for patients who need surgical and other types of specific treatment in cooperation with the tourism industry. Several international and domestic tourists prefer Maharashtra, Kerala, Karnataka, Goa and Gujarat for medical services and tourism. The nature, importance and difficulties in medical tourism in India are discussed in this paper. The popularity of medical tourism is growing world wide therefore needs computer science techniques to solve the problems risen in this field utilizing the massive amount of data produced by online platforms. Various machine learning algorithms and applications are discussed in this paper and also described the ML algorithms applied in medical tourism.","PeriodicalId":213095,"journal":{"name":"2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121890323","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 : 2021-07-01DOI: 10.1109/CCICT53244.2021.00050
Rohan Hatekar, Pratik Gawli, Rakshak R Kamath, A. Deshpande
Mosquito borne diseases are a worldwide problem and to recognize these diseases, we need to find a long lasting solution. We need an alternative to keep these insects away from humans in order to cut down the many lives it takes away. In this project, the system has developed a method to identify mosquitoes using digital image processing techniques and neural networks to classify them. The system also proposes to develop a system which will maintain a record of the collected data which can be used for different studies or eliminate them. The developed system distinguishes these mosquitoes by analyzing their morphological characteristics and use color-based analysis for distinguish these species. The challenges in designing such an automated system is the algorithm to be chosen for detection, which features to be chosen and choosing the hardware for real-time implementation.
{"title":"Detection of Mosquito using Digital Image Processing","authors":"Rohan Hatekar, Pratik Gawli, Rakshak R Kamath, A. Deshpande","doi":"10.1109/CCICT53244.2021.00050","DOIUrl":"https://doi.org/10.1109/CCICT53244.2021.00050","url":null,"abstract":"Mosquito borne diseases are a worldwide problem and to recognize these diseases, we need to find a long lasting solution. We need an alternative to keep these insects away from humans in order to cut down the many lives it takes away. In this project, the system has developed a method to identify mosquitoes using digital image processing techniques and neural networks to classify them. The system also proposes to develop a system which will maintain a record of the collected data which can be used for different studies or eliminate them. The developed system distinguishes these mosquitoes by analyzing their morphological characteristics and use color-based analysis for distinguish these species. The challenges in designing such an automated system is the algorithm to be chosen for detection, which features to be chosen and choosing the hardware for real-time implementation.","PeriodicalId":213095,"journal":{"name":"2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128653517","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 : 2021-07-01DOI: 10.1109/CCICT53244.2021.00014
Manoj Kumar, A. Singh, Arnav Kumar, Ankit Kumar
A chatbot is a computer program that can converse with humans using artificial intelligence in messaging platforms. The goal of the project is to use and optimize deep learning techniques for making an efficient chat bot. Current chatbots are developed using rule-based techniques, basic machine learning algorithms or retrieval-based techniques which don’t generate good results.in this paper, we will be comparing performance of three chatbots build by using RNN, GRU and LSTM. The conversation chatbots are used by different companies, government organizations and more.
{"title":"Analysis of Automated text generation using Deep learning","authors":"Manoj Kumar, A. Singh, Arnav Kumar, Ankit Kumar","doi":"10.1109/CCICT53244.2021.00014","DOIUrl":"https://doi.org/10.1109/CCICT53244.2021.00014","url":null,"abstract":"A chatbot is a computer program that can converse with humans using artificial intelligence in messaging platforms. The goal of the project is to use and optimize deep learning techniques for making an efficient chat bot. Current chatbots are developed using rule-based techniques, basic machine learning algorithms or retrieval-based techniques which don’t generate good results.in this paper, we will be comparing performance of three chatbots build by using RNN, GRU and LSTM. The conversation chatbots are used by different companies, government organizations and more.","PeriodicalId":213095,"journal":{"name":"2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114332300","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 : 2021-07-01DOI: 10.1109/CCICT53244.2021.00063
P. Yadav, Prashant Singh, Gagandeep Kaur, P. Chanak
In the recent era, the Internet of Things (IoT) is booming technology used for real-time problems. Wireless Sensor Networks (WSNs) technology in IoT extracts relevant information from surroundings that find applications in smart cities, smart home automation, etc. A WSN consists of energy-limited sensors that are deployed in the working field. Therefore, energy efficiency is a vital issue that needs to be resolved to increase the network lifetime. This paper presents a hierarchical routing algorithm that aims to increase network lifetime by eliminating extra energy losses that occur during transmission. This paper proposes an efficient way of cluster formation, cluster head selection, restructuring of clusters, and changing of cluster head according to newly created clusters after a regular interval. The results of the proposed scheme show better network lifetime, energy efficiency and packet received ratio as compared to the other state-of-the-art algorithms.
{"title":"An energy efficient hierarchical routing algorithm for IoT-enabled WSNs","authors":"P. Yadav, Prashant Singh, Gagandeep Kaur, P. Chanak","doi":"10.1109/CCICT53244.2021.00063","DOIUrl":"https://doi.org/10.1109/CCICT53244.2021.00063","url":null,"abstract":"In the recent era, the Internet of Things (IoT) is booming technology used for real-time problems. Wireless Sensor Networks (WSNs) technology in IoT extracts relevant information from surroundings that find applications in smart cities, smart home automation, etc. A WSN consists of energy-limited sensors that are deployed in the working field. Therefore, energy efficiency is a vital issue that needs to be resolved to increase the network lifetime. This paper presents a hierarchical routing algorithm that aims to increase network lifetime by eliminating extra energy losses that occur during transmission. This paper proposes an efficient way of cluster formation, cluster head selection, restructuring of clusters, and changing of cluster head according to newly created clusters after a regular interval. The results of the proposed scheme show better network lifetime, energy efficiency and packet received ratio as compared to the other state-of-the-art algorithms.","PeriodicalId":213095,"journal":{"name":"2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT)","volume":"114 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133651900","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 : 2021-07-01DOI: 10.1109/CCICT53244.2021.00031
Keshav Kulsresth, Shivam Shasheesh, C. Mishra, K. Arjun
As we all know that during this tough time everyone is facing the summons because of this scary pandemic Covid19. More than 200 countries are affected due to this pandemic and the populace is uninformed when this drastic period will come to an end. How the rapid growth of this virus is going to be stopped, apart from vaccinations and medicare everyone needs to be much more aware about the dangerous situation and must follow the protocols and guidelines imposed by government in order to be safe or free from the scary virus. Our work, to build an android platform to layout mindfulness about the pandemic and furthermore to help the world population by providing them the useful information regarding the coronavirus. An android app which will be helpful in displaying all the data of Covid19 (such as number of total cases worldwide, number of active cases, covid19 hospitals around the covid19 victims, medical facilities near them and many more things. Getting real time data for anything is very beneficial for all the users, as we are displaying the data for covid19 so without going anywhere they can easily get to know their current place status for corona i.e. total number of covid19 cases in their country or city. This way of collecting data will be helpful as the users will not come in direct contact with anyone and hence, they do not get affected.
{"title":"Covid 19 Tracker Using REST API Android App","authors":"Keshav Kulsresth, Shivam Shasheesh, C. Mishra, K. Arjun","doi":"10.1109/CCICT53244.2021.00031","DOIUrl":"https://doi.org/10.1109/CCICT53244.2021.00031","url":null,"abstract":"As we all know that during this tough time everyone is facing the summons because of this scary pandemic Covid19. More than 200 countries are affected due to this pandemic and the populace is uninformed when this drastic period will come to an end. How the rapid growth of this virus is going to be stopped, apart from vaccinations and medicare everyone needs to be much more aware about the dangerous situation and must follow the protocols and guidelines imposed by government in order to be safe or free from the scary virus. Our work, to build an android platform to layout mindfulness about the pandemic and furthermore to help the world population by providing them the useful information regarding the coronavirus. An android app which will be helpful in displaying all the data of Covid19 (such as number of total cases worldwide, number of active cases, covid19 hospitals around the covid19 victims, medical facilities near them and many more things. Getting real time data for anything is very beneficial for all the users, as we are displaying the data for covid19 so without going anywhere they can easily get to know their current place status for corona i.e. total number of covid19 cases in their country or city. This way of collecting data will be helpful as the users will not come in direct contact with anyone and hence, they do not get affected.","PeriodicalId":213095,"journal":{"name":"2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115840369","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 : 2021-07-01DOI: 10.1109/CCICT53244.2021.00079
Manju, P. Bhatia
Dynamic metrics play a vital role to uncover features like dynamic binding, polymorphism, runtime cohesion, etc., whereas static metrics failed to capture these features of object-oriented (OO) programming languages. Many techniques exist in literature to perform dynamic software analysis, whereas aspect-oriented programming (AOP) has a transparent edge on other approaches. Therefore, in this paper, a new set of dynamic metrics for cohesion, complexity, and polymorphism measures of OO software is proposed. AspectJ tool evaluates these metrics by designing new aspects using aspect-oriented programming (AOP) on the Eclipse platform. Further, theoretical validation of proposed metrics is done based on Briand’s framework, and it is concluded that the proposed set of dynamic metrics satisfies all the properties of Briand’s framework and helps the software industry improve software quality.
{"title":"Validation of Object-Oriented Static and Dynamic Metrics","authors":"Manju, P. Bhatia","doi":"10.1109/CCICT53244.2021.00079","DOIUrl":"https://doi.org/10.1109/CCICT53244.2021.00079","url":null,"abstract":"Dynamic metrics play a vital role to uncover features like dynamic binding, polymorphism, runtime cohesion, etc., whereas static metrics failed to capture these features of object-oriented (OO) programming languages. Many techniques exist in literature to perform dynamic software analysis, whereas aspect-oriented programming (AOP) has a transparent edge on other approaches. Therefore, in this paper, a new set of dynamic metrics for cohesion, complexity, and polymorphism measures of OO software is proposed. AspectJ tool evaluates these metrics by designing new aspects using aspect-oriented programming (AOP) on the Eclipse platform. Further, theoretical validation of proposed metrics is done based on Briand’s framework, and it is concluded that the proposed set of dynamic metrics satisfies all the properties of Briand’s framework and helps the software industry improve software quality.","PeriodicalId":213095,"journal":{"name":"2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116820853","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 : 2021-07-01DOI: 10.1109/CCICT53244.2021.00062
K. Pawar, Dr. Nagaraj V. Dharwadkar, Pradeep A. Deshpande, Shivakumar K. Honawad, Pramod A. Dharmadhikari
Monitoring wide borders of the nation for 24/7 has become the vital role in field of national defense and security system against Terrorism. Knowingly or unknowingly Trespassers crosses borders illegally for smuggling, illegal weapons and goods transport, undocumented migration etc. In the present situation, the border monitoring process is being taking place manually by nations border security forces (BSF) these people are responsible for constantly monitoring nations borders. It requires more number of Human Resources and specific assets as the borders are spread across thousands of miles and have vast geographical area also has different climate conditions. With help of advanced technology, Practice of patrolling on the borders can be automated by using PIR sensors to detect the Trespasser, Raspberry pi camera to continuously surveillance, Android based controlling system for Robotic Vehicle movement and wireless networking technology for sending information to the control room for further action. In this technical paper we are proposing An Android based Smart Robotic Vehicle for Border Security Surveillance system.
{"title":"An Android Based Smart Robotic Vehicle for Border Security Surveillance System","authors":"K. Pawar, Dr. Nagaraj V. Dharwadkar, Pradeep A. Deshpande, Shivakumar K. Honawad, Pramod A. Dharmadhikari","doi":"10.1109/CCICT53244.2021.00062","DOIUrl":"https://doi.org/10.1109/CCICT53244.2021.00062","url":null,"abstract":"Monitoring wide borders of the nation for 24/7 has become the vital role in field of national defense and security system against Terrorism. Knowingly or unknowingly Trespassers crosses borders illegally for smuggling, illegal weapons and goods transport, undocumented migration etc. In the present situation, the border monitoring process is being taking place manually by nations border security forces (BSF) these people are responsible for constantly monitoring nations borders. It requires more number of Human Resources and specific assets as the borders are spread across thousands of miles and have vast geographical area also has different climate conditions. With help of advanced technology, Practice of patrolling on the borders can be automated by using PIR sensors to detect the Trespasser, Raspberry pi camera to continuously surveillance, Android based controlling system for Robotic Vehicle movement and wireless networking technology for sending information to the control room for further action. In this technical paper we are proposing An Android based Smart Robotic Vehicle for Border Security Surveillance system.","PeriodicalId":213095,"journal":{"name":"2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123469062","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：