Pub Date : 2023-02-18DOI: 10.52783/cienceng.v11i1.116
R. Patil, Somnath B. Thigale, S. Karve, Vaishnaw G. Kale
Fruit market is a subject of choice, thereby, a dealer needs to grade the fruit. Fruit grading commercially available systems are very expensive, and manual fruit grading systems used in small businesses and dealers are prone to human error and inaccuracy. This paper proposes a system for identifying and grading Mango which will bebeneficial if we consider Industry 4.0. A Faster Region-based Convolutional Neural Network (Faster R-CNN) object detection algorithm using Tensor Flow has been implemented for identifying the fruit and by Image processing the probable percentage of ripeness can be determined. Thereby categorizing the fruit into classes. The results show that the proposed methods are efficient and cost-effective for determining and detecting the ripeness of fruits. The same system, when trained effectively can be used for multiple fruits.
{"title":"Identifying Mango and Its Ripeness Using Image Processing and Machine Learning Approach","authors":"R. Patil, Somnath B. Thigale, S. Karve, Vaishnaw G. Kale","doi":"10.52783/cienceng.v11i1.116","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.116","url":null,"abstract":"Fruit market is a subject of choice, thereby, a dealer needs to grade the fruit. Fruit grading commercially available systems are very expensive, and manual fruit grading systems used in small businesses and dealers are prone to human error and inaccuracy. This paper proposes a system for identifying and grading Mango which will bebeneficial if we consider Industry 4.0. A Faster Region-based Convolutional Neural Network (Faster R-CNN) object detection algorithm using Tensor Flow has been implemented for identifying the fruit and by Image processing the probable percentage of ripeness can be determined. Thereby categorizing the fruit into classes. The results show that the proposed methods are efficient and cost-effective for determining and detecting the ripeness of fruits. The same system, when trained effectively can be used for multiple fruits.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134028281","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.195
M. Sarojanamma, Manoj Kumar Ganesh
A management concept known as "Corporate Social Responsibility"(CSR) encourages corporate sector to incorporate social and environmental considerations into their activities and relationships with stakeholders. Corporate social responsibility is typically considered as the means through which a business finds a balance between its social, environmental, and economic imperatives. Corporate social responsibility is emerged as a critical component of long-term commercial success. CSR has great impact on the development of new economy. Following an amendment to the Companies Act, 2013 in April 2014, India became the first country in the world to make corporate social responsibility as mandatory. As part of any CSR compliance, companies can spend their profits in areas such as protection of environment, development of education, eradication of poverty and gender equality. The Ministry of Corporate Affairs has announced that company’s expenditures to combat the COVID-19 (Coronavirus) outbreak will be considered valid in CSR activities. Funds may be spent on COVID-19-related activities such as healthcare promotion, including preventive healthcare, sanitation, and disaster management. Amendments to the Companies (Amendment) Act, 2019 concerning CSR Previously, if a company was unable to spend its CSR funds fully each year, it could carry the amount forward and spend it in the following fiscal year, on top of the money allotted for that year. The CSR amendments to company Act, 2013 now require companies to deposit any unspent CSR funds into a fund specified in Schedule VII of the Act by the end of the fiscal year. This amount must be used within three years of the transfer date, or the fund must be deposited in one of the specified funds.
{"title":"Role of Corporate Social Responsibility in Social and Economic Development in India.","authors":"M. Sarojanamma, Manoj Kumar Ganesh","doi":"10.52783/cienceng.v11i1.195","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.195","url":null,"abstract":"A management concept known as \"Corporate Social Responsibility\"(CSR) encourages corporate sector to incorporate social and environmental considerations into their activities and relationships with stakeholders. Corporate social responsibility is typically considered as the means through which a business finds a balance between its social, environmental, and economic imperatives. Corporate social responsibility is emerged as a critical component of long-term commercial success. CSR has great impact on the development of new economy. Following an amendment to the Companies Act, 2013 in April 2014, India became the first country in the world to make corporate social responsibility as mandatory. As part of any CSR compliance, companies can spend their profits in areas such as protection of environment, development of education, eradication of poverty and gender equality. The Ministry of Corporate Affairs has announced that company’s expenditures to combat the COVID-19 (Coronavirus) outbreak will be considered valid in CSR activities. Funds may be spent on COVID-19-related activities such as healthcare promotion, including preventive healthcare, sanitation, and disaster management. Amendments to the Companies (Amendment) Act, 2019 concerning CSR Previously, if a company was unable to spend its CSR funds fully each year, it could carry the amount forward and spend it in the following fiscal year, on top of the money allotted for that year. The CSR amendments to company Act, 2013 now require companies to deposit any unspent CSR funds into a fund specified in Schedule VII of the Act by the end of the fiscal year. This amount must be used within three years of the transfer date, or the fund must be deposited in one of the specified funds.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134443380","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.307
Tanmay Samanta, Sayak Pal, Arnab Basu
Both Social Progress Index (SPI) and Sustainable Development Goals (SDGs) have given importance to gender equality and inclusiveness in their agendas as it is considered one of the primordial struggles essential to bring balance to the social sphere. On the other hand, advertising has been one of the primary modes of transforming and transporting these messages to the audiences seeded across the furthest corners of the remotest locations. While in the beginning, advertisements were used to serve simple requirements of sharing information among multiple receivers, over the hundreds of years of socioeconomic, cultural, political, and economic changes, made it complicated. Among many roles that an advertisement plays as a non-personal mode of communication, bringing social changes is one of them that has the power even to form values and opinions and sometimes brings phenomenal changes into behavior. The commercial form of advertainments is often found in favor of such portals that discreetly britches a few fundamental values and ethics set by the governing bodies and may lead to spreading misinformation and misconceptions. Similarly, women have been subjectified in advertisements from the very beginning with different objectives, however, for this research, the portrayals of women in commercial advertisements have broadly segregated into conventional and non-conventional categories. To analyze the distinctive differences between the two categories, the advertisements from 2015 to 2022 have been considered as the SDGs enacted by the United Nations with a prominent goal ’gender equality’ aims to bring down the conventional categorization and portrayals of gender in all forms.
{"title":"Portrayals of Women in Commercial Advertising: A Comparative Study Based on Contemporary Advertisements","authors":"Tanmay Samanta, Sayak Pal, Arnab Basu","doi":"10.52783/cienceng.v11i1.307","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.307","url":null,"abstract":"Both Social Progress Index (SPI) and Sustainable Development Goals (SDGs) have given importance to gender equality and inclusiveness in their agendas as it is considered one of the primordial struggles essential to bring balance to the social sphere. On the other hand, advertising has been one of the primary modes of transforming and transporting these messages to the audiences seeded across the furthest corners of the remotest locations. While in the beginning, advertisements were used to serve simple requirements of sharing information among multiple receivers, over the hundreds of years of socioeconomic, cultural, political, and economic changes, made it complicated. Among many roles that an advertisement plays as a non-personal mode of communication, bringing social changes is one of them that has the power even to form values and opinions and sometimes brings phenomenal changes into behavior. The commercial form of advertainments is often found in favor of such portals that discreetly britches a few fundamental values and ethics set by the governing bodies and may lead to spreading misinformation and misconceptions. Similarly, women have been subjectified in advertisements from the very beginning with different objectives, however, for this research, the portrayals of women in commercial advertisements have broadly segregated into conventional and non-conventional categories. To analyze the distinctive differences between the two categories, the advertisements from 2015 to 2022 have been considered as the SDGs enacted by the United Nations with a prominent goal ’gender equality’ aims to bring down the conventional categorization and portrayals of gender in all forms.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115592117","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.279
Kiranmai P., P. V. Ravi Kumar
Discourse analysis in terms of both spoken and written language is believed to be helpful for both linguists and language teachers. Written discourse is considered an imperative aspect that needs to be analyzed. Cohesion, coherence, clause relations and text patterns are all parts of written discourse. This study attempts to provide a vehicle for understanding student perceptions about writing and writing instruction through a case study supported by discourse analysis of student talk. The undergraduate students in this study participated in interviews and focus groups about their experiences with writing. The findings reveal deep seeded notions about writing enculturated through their under-graduation. Students were not likely to take ownership of their writing, rather considering it a teacher construct, and could not typically describe the application of writing skills.
{"title":"Written Discourse Investigation a Study Based on Undergraduate Students","authors":"Kiranmai P., P. V. Ravi Kumar","doi":"10.52783/cienceng.v11i1.279","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.279","url":null,"abstract":"Discourse analysis in terms of both spoken and written language is believed to be helpful for both linguists and language teachers. Written discourse is considered an imperative aspect that needs to be analyzed. Cohesion, coherence, clause relations and text patterns are all parts of written discourse. This study attempts to provide a vehicle for understanding student perceptions about writing and writing instruction through a case study supported by discourse analysis of student talk. The undergraduate students in this study participated in interviews and focus groups about their experiences with writing. The findings reveal deep seeded notions about writing enculturated through their under-graduation. Students were not likely to take ownership of their writing, rather considering it a teacher construct, and could not typically describe the application of writing skills.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114245923","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.189
Somnath B. Thigale et al.
Nowadays Heart disease is one of the most common and serious disease as it is the one of major cause of death globally. Heart disease prediction is very critical and challenging task. Machine Learning (ML) an important technique in the field of Health care applications. Such systems assist (Not replaces) doctors in the interpretation of diseases. Automated Heart Disease Diagnosis System using Machine Learning Algorithm is amongst popular systems which have attracted the attention of numerous researchers, making it a thrust area for further investigations. In last decade, extensive investigations have been contributed to design Automated Heart Disease Diagnosis System using Machine Learning Algorithm. Designing a heart disease diagnosis system with high accuracy can help to save lives. A comprehensive survey of the developments and current trends in area of Automated Heart Disease Diagnosis System using Machine Learning algorithms is presented in this paper. The survey details the overall advancements in diagnosis or prediction of heart disease and an effective review of pre-processing of data, feature extraction algorithms and the classifiers used in prediction system. Few unaddressed issues and challenges that have comparatively received meagre attention are discussed highlighting the future prospects of Heart Disease Diagnosis and providing pointers to the further research.
{"title":"Development of Automated Heart Disease Diagnosis System Using Machine Learning Algorithm: Current Status And Future Prospects","authors":"Somnath B. Thigale et al.","doi":"10.52783/cienceng.v11i1.189","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.189","url":null,"abstract":"Nowadays Heart disease is one of the most common and serious disease as it is the one of major cause of death globally. Heart disease prediction is very critical and challenging task. Machine Learning (ML) an important technique in the field of Health care applications. Such systems assist (Not replaces) doctors in the interpretation of diseases. Automated Heart Disease Diagnosis System using Machine Learning Algorithm is amongst popular systems which have attracted the attention of numerous researchers, making it a thrust area for further investigations. In last decade, extensive investigations have been contributed to design Automated Heart Disease Diagnosis System using Machine Learning Algorithm. Designing a heart disease diagnosis system with high accuracy can help to save lives. A comprehensive survey of the developments and current trends in area of Automated Heart Disease Diagnosis System using Machine Learning algorithms is presented in this paper. The survey details the overall advancements in diagnosis or prediction of heart disease and an effective review of pre-processing of data, feature extraction algorithms and the classifiers used in prediction system. Few unaddressed issues and challenges that have comparatively received meagre attention are discussed highlighting the future prospects of Heart Disease Diagnosis and providing pointers to the further research.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114590613","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.72
Sushmita Rajwar
The Indian Diaspora in South Africa is not a monolithic identity and belongs to different parts and states of India. Each of them speaks a different language, has a unique culture and follows different traditions amongst themselves. In order to preserve and protect this culture especially during the colonial rule in South Africa, many of the Indian Diaspora Associations were formed. These Associations have a long history in promoting the unity amongst their specific communities through promotion of their languages, culture, festivals, practices, food etc. In a way this has provided the Indian Diaspora a unique identity within the larger context of the Indian Diaspora. The various associations and their work has proved to be beneficial in times of emergency and in promoting the interests and concerns of the Indian Diaspora in the global context.
{"title":"Role of Indian Diasporic Associations in Promoting Indian Diasporic Identity in South Africa","authors":"Sushmita Rajwar","doi":"10.52783/cienceng.v11i1.72","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.72","url":null,"abstract":"The Indian Diaspora in South Africa is not a monolithic identity and belongs to different parts and states of India. Each of them speaks a different language, has a unique culture and follows different traditions amongst themselves. In order to preserve and protect this culture especially during the colonial rule in South Africa, many of the Indian Diaspora Associations were formed. These Associations have a long history in promoting the unity amongst their specific communities through promotion of their languages, culture, festivals, practices, food etc. In a way this has provided the Indian Diaspora a unique identity within the larger context of the Indian Diaspora. The various associations and their work has proved to be beneficial in times of emergency and in promoting the interests and concerns of the Indian Diaspora in the global context.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115112895","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.135
J. Shanthi, S.Vidhyalakshmi, M. A. Gopalan
This paper deals with the problem of finding non-zero distinct integer solutions to the non-homogeneous ternary sextic equation given by . A few interesting relations between the solutions and special numbers are exhibited.
给出的非齐次三元六次方方程的非零不同整数解的求问题。给出了解与特殊数之间的一些有趣的关系。
{"title":"On Finding Integer Solutions to Sextic Equation with Three Unknowns","authors":"J. Shanthi, S.Vidhyalakshmi, M. A. Gopalan","doi":"10.52783/cienceng.v11i1.135","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.135","url":null,"abstract":"This paper deals with the problem of finding non-zero distinct integer solutions to the non-homogeneous ternary sextic equation given by . A few interesting relations between the solutions and special numbers are exhibited.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115304036","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.376
Sakshi G. Gade, Shabnam F. Sayyad
ML and ARIMA-based stock market forecasting. Brokers, derivatives, currencies, and stocks are used in the vast and convoluted structure of the financial markets, which is always changing and evolving. Compared to the hazards of beginning a new business or the requirement for a high-paying employment, this market provides investors the potential to make money and live a happy life with a minimal initial investment. However, assessing and managing the performance of machine learning requires human-assessed risk management procedures and security precautions. For this research, it is important to predict stock prices using ARIMA and machine learning techniques. With the aid of machine learning and the ARIMA model, stock values may be forecasted with simplicity. This includes a range of work that was done on the review paper using different learning techniques. The most notable features are ARIMA and the built-in machine learning. Oblivion Gate removes data that doesn't match the algorithm, leaving only data that does. As soon as information enters the network, rules enable selection. Three gate structures combine to produce a single network structure.
{"title":"Enhancing Stock Market Prediction with ARIMA and Machine Learning","authors":"Sakshi G. Gade, Shabnam F. Sayyad","doi":"10.52783/cienceng.v11i1.376","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.376","url":null,"abstract":"ML and ARIMA-based stock market forecasting. Brokers, derivatives, currencies, and stocks are used in the vast and convoluted structure of the financial markets, which is always changing and evolving. Compared to the hazards of beginning a new business or the requirement for a high-paying employment, this market provides investors the potential to make money and live a happy life with a minimal initial investment. However, assessing and managing the performance of machine learning requires human-assessed risk management procedures and security precautions. For this research, it is important to predict stock prices using ARIMA and machine learning techniques. With the aid of machine learning and the ARIMA model, stock values may be forecasted with simplicity. This includes a range of work that was done on the review paper using different learning techniques. The most notable features are ARIMA and the built-in machine learning. Oblivion Gate removes data that doesn't match the algorithm, leaving only data that does. As soon as information enters the network, rules enable selection. Three gate structures combine to produce a single network structure.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123187911","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.373
Mirza Nemath Ali Baig, Ayaaz Khan, MD. Salauddin, Mohd Zubair Khan
The project "Crop Water Requirement Prediction in Automated Drip Irrigation System using IoT" aims to develop a system that optimizes water usage in agricultural irrigation by predicting crop water requirements. By employing IoT devices, sensors, and data analytics techniques, the system aims to enhance water efficiency, reduce water waste, and improve crop yield.The system utilizes soil moisture sensors to measure real-time soil moisture levels and collects weather data from external sources. These inputs are processed and analyzed using data analytics techniques to predict crop water requirements based on specific crop information and growth stages. An automated drip irrigation system, controlled by IoT devices, delivers water directly to the plant's root zones based on the predicted water requirements.The project's objectives include evaluating the accuracy of crop water requirement predictions, assessing water savings achieved compared to traditional irrigation methods, and monitoring crop health and yield. The collected data is analyzed to gain insights into irrigation strategies, weather conditions, and resource optimization. The user interface provides a convenient way for farmers to monitor and control the system, ensuring an asvaluable tool for enhancing driver safety.
{"title":"Crop Water Requirement Predication in Automated Drip Irrigation System Using IoT","authors":"Mirza Nemath Ali Baig, Ayaaz Khan, MD. Salauddin, Mohd Zubair Khan","doi":"10.52783/cienceng.v11i1.373","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.373","url":null,"abstract":" The project \"Crop Water Requirement Prediction in Automated Drip Irrigation System using IoT\" aims to develop a system that optimizes water usage in agricultural irrigation by predicting crop water requirements. By employing IoT devices, sensors, and data analytics techniques, the system aims to enhance water efficiency, reduce water waste, and improve crop yield.The system utilizes soil moisture sensors to measure real-time soil moisture levels and collects weather data from external sources. These inputs are processed and analyzed using data analytics techniques to predict crop water requirements based on specific crop information and growth stages. An automated drip irrigation system, controlled by IoT devices, delivers water directly to the plant's root zones based on the predicted water requirements.The project's objectives include evaluating the accuracy of crop water requirement predictions, assessing water savings achieved compared to traditional irrigation methods, and monitoring crop health and yield. The collected data is analyzed to gain insights into irrigation strategies, weather conditions, and resource optimization. The user interface provides a convenient way for farmers to monitor and control the system, ensuring an asvaluable tool for enhancing driver safety.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"79 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121914273","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 : 2023-02-18DOI: 10.52783/cienceng.v11i1.369
Aquib Hasware, Deepali Ujalambkar
In recent years, security precautions at public events have become increasingly important as a direct response to the growth in the number of disruptive actions. There are several various varieties of closed-circuit televisions that are employed to perform 24-hour surveillance of public areas and the people that live such areas. Every person in a socialised society with a population of 1.6 billion is subjected to imprinted pictures an average of 30 times each day. Since the entire participation of the community is required to safeguard public areas from the most unexpected and lethal of events, it is difficult to discern whether an incident is an exceptional or casual occurrence because continual monitoring of human data makes it difficult to distinguish the difference. Within the scope of this study, we propose a method for identifying potentially threatening actions within footage obtained from closed-circuit television systems. To accomplish this objective, we must first extract individual still frames from the video and then examine the actions of the people seen in those still frames. We have placed a significant amount of reliance on both machine learning and deep learning algorithms to make this a reality. To automate this process, we must first develop a training model that makes use of many photos and a "Convolution Neural Network" that makes use of the Tensor Flow Python package. This model must be created before we can move on to automating the process. Every frame from every video that is provided will be used to train an algorithm that will analyse the film and evaluate whether it contains suspicious content or merely everyday activities. If we conclude that the activity was suspicious, the next phase of the study will concentrate on locating any weapons that may have been concealed on the corpse.
{"title":"Big Data Enabled Realtime Crowd Surveillance and Threat Detection Using Artificial Intelligence and Deep Learning","authors":"Aquib Hasware, Deepali Ujalambkar","doi":"10.52783/cienceng.v11i1.369","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.369","url":null,"abstract":"In recent years, security precautions at public events have become increasingly important as a direct response to the growth in the number of disruptive actions. There are several various varieties of closed-circuit televisions that are employed to perform 24-hour surveillance of public areas and the people that live such areas. Every person in a socialised society with a population of 1.6 billion is subjected to imprinted pictures an average of 30 times each day. Since the entire participation of the community is required to safeguard public areas from the most unexpected and lethal of events, it is difficult to discern whether an incident is an exceptional or casual occurrence because continual monitoring of human data makes it difficult to distinguish the difference. Within the scope of this study, we propose a method for identifying potentially threatening actions within footage obtained from closed-circuit television systems. To accomplish this objective, we must first extract individual still frames from the video and then examine the actions of the people seen in those still frames. We have placed a significant amount of reliance on both machine learning and deep learning algorithms to make this a reality. To automate this process, we must first develop a training model that makes use of many photos and a \"Convolution Neural Network\" that makes use of the Tensor Flow Python package. This model must be created before we can move on to automating the process. Every frame from every video that is provided will be used to train an algorithm that will analyse the film and evaluate whether it contains suspicious content or merely everyday activities. If we conclude that the activity was suspicious, the next phase of the study will concentrate on locating any weapons that may have been concealed on the corpse.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122180477","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：