Recommender systems (RS) have emerged as a means of providing relevant content to users, whether in social networking, health, education, or elections. Furthermore, with the rapid development of cloud computing, Big Data, and the Internet of Things (IoT), the component of all this is that elections are controlled by open and accountable, neutral, and autonomous election management bodies. The use of technology in voting procedures can make them faster, more efficient, and less susceptible to security breaches. Technology can ensure the security of every vote, better and faster automatic counting and tallying, and much greater accuracy. The election data were combined by different websites and applications. In addition, it was interpreted using many recommendation algorithms such as Machine Learning Algorithms, Vector Representation Algorithms, Latent Factor Model Algorithms, and Neighbourhood Methods and shared with the election management bodies to provide appropriate recommendations. In this paper, we conduct a comparative study of the algorithms applied in the recommendations of Big data architectures. The results show us that the K-NN model works best with an accuracy of 96%. In addition, we provided the best recommendation system is the hybrid recommendation combined by content-based filtering and collaborative filtering uses similarities between users and items.
{"title":"Resource Optimisation in Cloud Computing: Comparative Study of Algorithms Applied to Recommendations in a Big Data Analysis Architecture","authors":"Aristide Ndayikengurukiye, Abderrahmane Ez-Zahout, Akou Aboubakr, Youssef Charkaoui, Omary Fouzia","doi":"10.14313/jamris/4-2021/28","DOIUrl":"https://doi.org/10.14313/jamris/4-2021/28","url":null,"abstract":"Recommender systems (RS) have emerged as a means of providing relevant content to users, whether in social networking, health, education, or elections. Furthermore, with the rapid development of cloud computing, Big Data, and the Internet of Things (IoT), the component of all this is that elections are controlled by open and accountable, neutral, and autonomous election management bodies. The use of technology in voting procedures can make them faster, more efficient, and less susceptible to security breaches. Technology can ensure the security of every vote, better and faster automatic counting and tallying, and much greater accuracy. The election data were combined by different websites and applications. In addition, it was interpreted using many recommendation algorithms such as Machine Learning Algorithms, Vector Representation Algorithms, Latent Factor Model Algorithms, and Neighbourhood Methods and shared with the election management bodies to provide appropriate recommendations. In this paper, we conduct a comparative study of the algorithms applied in the recommendations of Big data architectures. The results show us that the K-NN model works best with an accuracy of 96%. In addition, we provided the best recommendation system is the hybrid recommendation combined by content-based filtering and collaborative filtering uses similarities between users and items.","PeriodicalId":37910,"journal":{"name":"Journal of Automation, Mobile Robotics and Intelligent Systems","volume":"112 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80673489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-28DOI: 10.14313/jamris/4-2021/22
Hina Hashmi, R. Dwivedi, Ashok Kumar
Remote Imagery and the allied processing have been a matter of curiosity among researchers for a long, and have achieved various fruitful milestones in various facets. From the near past, due to the entrance and buzz of AI & ML based computing, remotely sensed imagery & allied processing technology are growing rapidly and continuously expanding towards multiple important services- like land surveying, traffic surveillance, and various earth science disciplines. As Artificial intelligence has become the charm of researchers, machine learning and deep learning have been proven as the most commonly used and highly effective techniques for object detection. AI & ML based object segmentation &detection makes this area hot and fond to the researchers again with the opportunities of enhanced accuracy in the same. A vast literature is available from a long past till now related to the development of various techniques proposed in this area. In this paper, we have explored the major techniques of image processing for object detection and identification from remote imagery, including the current research directions and future directives. This literature survey is basically focused on analyzing and summarizing the past and recent work done in this field through a chronological sequence of research done for object detection and identification in remotely sensed imagery.
{"title":"An AI & ML Based Detection & Identification in Remote Imagery: State-of-the-Art","authors":"Hina Hashmi, R. Dwivedi, Ashok Kumar","doi":"10.14313/jamris/4-2021/22","DOIUrl":"https://doi.org/10.14313/jamris/4-2021/22","url":null,"abstract":"Remote Imagery and the allied processing have been a matter of curiosity among researchers for a long, and have achieved various fruitful milestones in various facets. From the near past, due to the entrance and buzz of AI & ML based computing, remotely sensed imagery & allied processing technology are growing rapidly and continuously expanding towards multiple important services- like land surveying, traffic surveillance, and various earth science disciplines. As Artificial intelligence has become the charm of researchers, machine learning and deep learning have been proven as the most commonly used and highly effective techniques for object detection. AI & ML based object segmentation &detection makes this area hot and fond to the researchers again with the opportunities of enhanced accuracy in the same. A vast literature is available from a long past till now related to the development of various techniques proposed in this area. In this paper, we have explored the major techniques of image processing for object detection and identification from remote imagery, including the current research directions and future directives. This literature survey is basically focused on analyzing and summarizing the past and recent work done in this field through a chronological sequence of research done for object detection and identification in remotely sensed imagery.","PeriodicalId":37910,"journal":{"name":"Journal of Automation, Mobile Robotics and Intelligent Systems","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89433397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-28DOI: 10.14313/jamris/4-2021/26
M. F. Abdul Aziz, W. B. Daud, M. N. Sukhaimie, T. A. Izzuddin, M. A. Norasikin, A. Rasid, N. Bazilah
This paper presents an automation process is a need in the agricultural industry specifically chili crops, that implemented image processing techniques and classification of chili crops usually based on their color, shape, and texture. The goal of this study was to develop a portable sorting machine that will be able to segregate chili based on their color by using Artificial Neural Network (ANN) and to analyze the performance by using the Plot Confusion method. A sample of ten green chili images and ten red chili images was trained by using Learning Algorithm in MATLAB program that included a feature extraction process and tested by comparing the performance with a larger dataset, which are 40 samples of chili images. The trained network from 20 samples produced an overall accuracy of 80 percent and above, while the trained network from 40 samples produced an overall accuracy of 85 percent. These results indicate the importance of further study as the design of the smart sorting machine was general enough to be used in the agricultural industry that requires a high volume of chili crops and with other differentiating features to be processed at the same time. Improvements can be made to the sorting system but will come at a higher price.
{"title":"Development of Smart Sorting Machine Using Artificial Intelligence for Chili Fertigation Industries","authors":"M. F. Abdul Aziz, W. B. Daud, M. N. Sukhaimie, T. A. Izzuddin, M. A. Norasikin, A. Rasid, N. Bazilah","doi":"10.14313/jamris/4-2021/26","DOIUrl":"https://doi.org/10.14313/jamris/4-2021/26","url":null,"abstract":"This paper presents an automation process is a need in the agricultural industry specifically chili crops, that implemented image processing techniques and classification of chili crops usually based on their color, shape, and texture. The goal of this study was to develop a portable sorting machine that will be able to segregate chili based on their color by using Artificial Neural Network (ANN) and to analyze the performance by using the Plot Confusion method. A sample of ten green chili images and ten red chili images was trained by using Learning Algorithm in MATLAB program that included a feature extraction process and tested by comparing the performance with a larger dataset, which are 40 samples of chili images. The trained network from 20 samples produced an overall accuracy of 80 percent and above, while the trained network from 40 samples produced an overall accuracy of 85 percent. These results indicate the importance of further study as the design of the smart sorting machine was general enough to be used in the agricultural industry that requires a high volume of chili crops and with other differentiating features to be processed at the same time. Improvements can be made to the sorting system but will come at a higher price.","PeriodicalId":37910,"journal":{"name":"Journal of Automation, Mobile Robotics and Intelligent Systems","volume":"66 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82354755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-28DOI: 10.14313/jamris/4-2021/29
Grzegorz Nowakowski, S. Telenyk, K. Yefremov, V. Khmeliuk
The approach to applications integration for World Data Center (WDC) interdisciplinary scientific investigations is developed in the article. The integration is based on mathematical logic and artificial intelligence. Key elements of the approach - a multilevel system architecture, formal logical system, implementation - are based on intelligent agents' interaction. The formal logical system is proposed. The inference method and mechanism of solution tree recovery are elaborated. The implementation of application integration for interdisciplinary scientific research is based on a stack of modern protocols, enabling communication of business processes over the transport layer of the OSI model. Application integration is also based on coordinated models of business processes, for which an integrated set of business applications are designed and realized.
{"title":"Simple and Flexible Way to Integrate Heterogeneous Information Systems and Their Services into the World Data System","authors":"Grzegorz Nowakowski, S. Telenyk, K. Yefremov, V. Khmeliuk","doi":"10.14313/jamris/4-2021/29","DOIUrl":"https://doi.org/10.14313/jamris/4-2021/29","url":null,"abstract":"The approach to applications integration for World Data Center (WDC) interdisciplinary scientific investigations is developed in the article. The integration is based on mathematical logic and artificial intelligence. Key elements of the approach - a multilevel system architecture, formal logical system, implementation - are based on intelligent agents' interaction. The formal logical system is proposed. The inference method and mechanism of solution tree recovery are elaborated. The implementation of application integration for interdisciplinary scientific research is based on a stack of modern protocols, enabling communication of business processes over the transport layer of the OSI model. Application integration is also based on coordinated models of business processes, for which an integrated set of business applications are designed and realized.","PeriodicalId":37910,"journal":{"name":"Journal of Automation, Mobile Robotics and Intelligent Systems","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85207507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-28DOI: 10.14313/jamris/4-2021/23
Joerg Roth
In the area of mobile robotics, trajectory planning is the task to find a sequence of primitive trajectories that connect two configurations, whereas non-holonomic constraints, obstacles and driving costs have to be considered. In this paper, we present an approach that is able to handle situations that require changes of driving directions. In such situations, optimal trajectory sequences contain costly turning maneuvers – sometimes not even on the direct path between start and target. These situations are difficult for most optimization approaches as the robot partly has to drive paths with higher cost values that seem to be disadvantageous. We discuss the problem in depth and provide a solution that is based on maneuvers, partial backdriving and free-place discovery. We applied the approach on top of our Viterbi-based trajectory planner.
{"title":"Trajectory Planning for Narrow Environments That Require Changes of Driving Directions","authors":"Joerg Roth","doi":"10.14313/jamris/4-2021/23","DOIUrl":"https://doi.org/10.14313/jamris/4-2021/23","url":null,"abstract":"In the area of mobile robotics, trajectory planning is the task to find a sequence of primitive trajectories that connect two configurations, whereas non-holonomic constraints, obstacles and driving costs have to be considered. In this paper, we present an approach that is able to handle situations that require changes of driving directions. In such situations, optimal trajectory sequences contain costly turning maneuvers – sometimes not even on the direct path between start and target. These situations are difficult for most optimization approaches as the robot partly has to drive paths with higher cost values that seem to be disadvantageous. We discuss the problem in depth and provide a solution that is based on maneuvers, partial backdriving and free-place discovery. We applied the approach on top of our Viterbi-based trajectory planner.","PeriodicalId":37910,"journal":{"name":"Journal of Automation, Mobile Robotics and Intelligent Systems","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86503159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-28DOI: 10.14313/jamris/4-2021/24
M. Trojnacki, Przemysław Brzęczkowski, Dominik Kleszczyński
The paper is concerned with the problem of experimental research of Veles planetary rover performing simple construction tasks. The current state of the art in planetary rovers and their research in construction tasks are discussed. The Veles rover solution designed for construction tasks and experimental testbed are described. The experimental testbed included a test room with Moon regolith analogue. Experimental research concerning rover mobility and manipulation tasks were carried out. Experimental research consisted of various scenarios,, including clearing an area that removes boulders and levelling the soil. The complementary scenario for the area preparation was to exchange the tools of the manipulator. In this case, the gripper and the shovel were used as end-effectors for moving objects, both structured or in the form of regolith. Results of selected experimental research are presented and discussed. Finally, directions of future works of the rover are pointed out.
{"title":"Experimental Research of Veles Planetary Rover Performing Simple Construction Tasks","authors":"M. Trojnacki, Przemysław Brzęczkowski, Dominik Kleszczyński","doi":"10.14313/jamris/4-2021/24","DOIUrl":"https://doi.org/10.14313/jamris/4-2021/24","url":null,"abstract":"The paper is concerned with the problem of experimental research of Veles planetary rover performing simple construction tasks. The current state of the art in planetary rovers and their research in construction tasks are discussed. The Veles rover solution designed for construction tasks and experimental testbed are described. The experimental testbed included a test room with Moon regolith analogue. Experimental research concerning rover mobility and manipulation tasks were carried out. Experimental research consisted of various scenarios,, including clearing an area that removes boulders and levelling the soil. The complementary scenario for the area preparation was to exchange the tools of the manipulator. In this case, the gripper and the shovel were used as end-effectors for moving objects, both structured or in the form of regolith. Results of selected experimental research are presented and discussed. Finally, directions of future works of the rover are pointed out.","PeriodicalId":37910,"journal":{"name":"Journal of Automation, Mobile Robotics and Intelligent Systems","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82274339","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-09-28DOI: 10.14313/jamris/4-2021/27
Krzysztof Trzcinka
The paper presents results of tests of a simple device, consisting in the location of a source of disturbance emission by means of measurements within the near field with manual positioning of the measuring probe. The effectiveness of the source of disturbance location was finally verified by a positive result of the radiated emission tests in the EMC laboratory using a standardised method.
{"title":"The Identification Method of the Sources of Radiated Electromagnetic Disturbances on the Basis of Measurements in the Near-Field Zone","authors":"Krzysztof Trzcinka","doi":"10.14313/jamris/4-2021/27","DOIUrl":"https://doi.org/10.14313/jamris/4-2021/27","url":null,"abstract":"The paper presents results of tests of a simple device, consisting in the location of a source of disturbance emission by means of measurements within the near field with manual positioning of the measuring probe. The effectiveness of the source of disturbance location was finally verified by a positive result of the radiated emission tests in the EMC laboratory using a standardised method.","PeriodicalId":37910,"journal":{"name":"Journal of Automation, Mobile Robotics and Intelligent Systems","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86001366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-01DOI: 10.14313/jamris/3-2022/21
Van Anh Nguyen Thi, Duc Binh Pham, D. H. Nguyen, T. Nguyen
Abstract This paper focuses on trajectory tracking control for robot manipulators. While much research has been done on this issue, many other aspects of this field have not been fully addressed. Here, we present a new solution using feedforward controller to eliminate parametric uncertainties and unknown disturbances. The Takagi-Sugeno fuzzy descriptor system (TSFDS) is chosen to describe the dynamic characteristics of the robot. The combination of this fuzzy system and the robust H∞ performance makes the system almost isolated from external factors. The linear matrix inequalities based on the theory of Lyapunov stability is considered for control design. The proposed method has proven its effectiveness through simulation results.
{"title":"Robust H∞ Fuzzy Approach Design Via Takagi-Sugeno Descriptor Model. Application for 2-DOF Serial Manipulator Tracking Control","authors":"Van Anh Nguyen Thi, Duc Binh Pham, D. H. Nguyen, T. Nguyen","doi":"10.14313/jamris/3-2022/21","DOIUrl":"https://doi.org/10.14313/jamris/3-2022/21","url":null,"abstract":"Abstract This paper focuses on trajectory tracking control for robot manipulators. While much research has been done on this issue, many other aspects of this field have not been fully addressed. Here, we present a new solution using feedforward controller to eliminate parametric uncertainties and unknown disturbances. The Takagi-Sugeno fuzzy descriptor system (TSFDS) is chosen to describe the dynamic characteristics of the robot. The combination of this fuzzy system and the robust H∞ performance makes the system almost isolated from external factors. The linear matrix inequalities based on the theory of Lyapunov stability is considered for control design. The proposed method has proven its effectiveness through simulation results.","PeriodicalId":37910,"journal":{"name":"Journal of Automation, Mobile Robotics and Intelligent Systems","volume":"10 1","pages":"22 - 29"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85777302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-01DOI: 10.14313/jamris/3-2022/26
A. Abdullah, A. Mahmood, Mohammad A. Thanoon
Abstract The conventional control system is a controller that controls or regulates the dynamics of any other process. From time to time, a conventional control system may not behave appropriately online; this is because of many factors like a variation in the dynamics of the process itself, unexpected changes in the environment, or even undefined parameters of the system model. To overcome this problem, we have designed and implemented an adaptive controller. This paper discusses the design of a controller for a ball and beam system with Genetic Model Reference Adaptive Control (GMRAC) for an adaptive mechanism with the MIT rule. Parameter adjustment (selection) should occur using optimization methods to obtain an optimal performance, so the genetic algorithm (GA) will be used as an optimization method to obtain the optimum values for these parameters. The Linear Quadratic Regulator (LQR) controller will be used as it is one of the most popular controllers. The performance of the proposed controller with the ball and beam system will be carried out with MATLAB Simulink in order to evaluate its effectiveness. The results show satisfactory performance where the position of the ball tracks the desired model reference.
{"title":"Design of a Linear Quadratic Regulator Based on Genetic Model Reference Adaptive Control","authors":"A. Abdullah, A. Mahmood, Mohammad A. Thanoon","doi":"10.14313/jamris/3-2022/26","DOIUrl":"https://doi.org/10.14313/jamris/3-2022/26","url":null,"abstract":"Abstract The conventional control system is a controller that controls or regulates the dynamics of any other process. From time to time, a conventional control system may not behave appropriately online; this is because of many factors like a variation in the dynamics of the process itself, unexpected changes in the environment, or even undefined parameters of the system model. To overcome this problem, we have designed and implemented an adaptive controller. This paper discusses the design of a controller for a ball and beam system with Genetic Model Reference Adaptive Control (GMRAC) for an adaptive mechanism with the MIT rule. Parameter adjustment (selection) should occur using optimization methods to obtain an optimal performance, so the genetic algorithm (GA) will be used as an optimization method to obtain the optimum values for these parameters. The Linear Quadratic Regulator (LQR) controller will be used as it is one of the most popular controllers. The performance of the proposed controller with the ball and beam system will be carried out with MATLAB Simulink in order to evaluate its effectiveness. The results show satisfactory performance where the position of the ball tracks the desired model reference.","PeriodicalId":37910,"journal":{"name":"Journal of Automation, Mobile Robotics and Intelligent Systems","volume":"16 1","pages":"75 - 81"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76038688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-01DOI: 10.14313/jamris/3-2022/22
R. Litoriya, Dev Ramchandani, Dhruvansh Moyal, Dhruv Bothra
Abstract In industry and research, big data applications are gaining a lot of traction and space. Surveillance videos contribute significantly to big unlabelled data. The aim of visual surveillance is to understand and determine object behavior. It includes static and moving object detection, as well as video tracking to comprehend scene events. Object detection algorithms may be used to identify items in any video scene. Any video surveillance system faces a significant challenge in detecting moving objects and differentiating between objects with same shapes or features. The primary goal of this work is to provide an integrated framework for quick overview of video analysis utilizing deep learning algorithms to detect suspicious activity. In greater applications, the detection method is utilized to determine the region where items are available and the form of objects in each frame. This video analysis also aids in the attainment of security. Security may be characterized in a variety of ways, such as identifying theft or violation of covid protocols. The obtained results are encouraging and superior to existing solutions with 97% accuracy.
{"title":"Integrated and Deep Learning–Based Social Surveillance System: a Novel Approach","authors":"R. Litoriya, Dev Ramchandani, Dhruvansh Moyal, Dhruv Bothra","doi":"10.14313/jamris/3-2022/22","DOIUrl":"https://doi.org/10.14313/jamris/3-2022/22","url":null,"abstract":"Abstract In industry and research, big data applications are gaining a lot of traction and space. Surveillance videos contribute significantly to big unlabelled data. The aim of visual surveillance is to understand and determine object behavior. It includes static and moving object detection, as well as video tracking to comprehend scene events. Object detection algorithms may be used to identify items in any video scene. Any video surveillance system faces a significant challenge in detecting moving objects and differentiating between objects with same shapes or features. The primary goal of this work is to provide an integrated framework for quick overview of video analysis utilizing deep learning algorithms to detect suspicious activity. In greater applications, the detection method is utilized to determine the region where items are available and the form of objects in each frame. This video analysis also aids in the attainment of security. Security may be characterized in a variety of ways, such as identifying theft or violation of covid protocols. The obtained results are encouraging and superior to existing solutions with 97% accuracy.","PeriodicalId":37910,"journal":{"name":"Journal of Automation, Mobile Robotics and Intelligent Systems","volume":"106 1","pages":"30 - 39"},"PeriodicalIF":0.0,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76067793","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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