Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216446
S. Chawathe
This paper describes methods for automated classification of individuals by Hepatitis C medical category using data from a series of commonly used diagnostic tests. The methods are evaluated experimentally using a publicly available dataset from prior work. The accuracy of some methods compares favorably with similar results reported in prior work. In addition to quantitative results on prediction accuracy, training and testing times, and model sizes, the paper includes a detailed look at some concrete representative classifiers generated by a few of the competitive methods, permitting a human domain expert to further study the models and classifiers.
{"title":"Diagnostic Classification Using Hepatitis C Tests","authors":"S. Chawathe","doi":"10.1109/IEMTRONICS51293.2020.9216446","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216446","url":null,"abstract":"This paper describes methods for automated classification of individuals by Hepatitis C medical category using data from a series of commonly used diagnostic tests. The methods are evaluated experimentally using a publicly available dataset from prior work. The accuracy of some methods compares favorably with similar results reported in prior work. In addition to quantitative results on prediction accuracy, training and testing times, and model sizes, the paper includes a detailed look at some concrete representative classifiers generated by a few of the competitive methods, permitting a human domain expert to further study the models and classifiers.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121197271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216405
Sanghamitra Poddar, S. C. Panja, Sankar Narayan Patra, Debanjan Ghosh, Debajyoti Saha
Indian Railways being one of the largest functioning units of India employs a huge amount of manual unorganized labor. Maintenance of railway coaches and bogies is provided from part of this labor. It has always been a great challenge to find an optimal operating scenario for maximized productivity. In this work, we aimed to model and maximize maintenance productivity of Indian Railway coach and bogie . Taking into consideration the volatility of the circumstances and uncorrelated behavior of different human factors affecting productivity, to obtain the best scenario five of the most critical human factors were identified that are expected to affect the maintenance of the coaches and bogies most. Cobb-Douglas production function was used to model maintenance productivity with the chosen human factors. The main goal after designing the model for productivity is to maximize it. To get the optimal productivity Differential Evolution algorithm is used. Finally, the Cuckoo search algorithm is applied to validate the results.
{"title":"A metaheuristic approach to optimize maintenance productivity of Indian railway coach and bogie","authors":"Sanghamitra Poddar, S. C. Panja, Sankar Narayan Patra, Debanjan Ghosh, Debajyoti Saha","doi":"10.1109/IEMTRONICS51293.2020.9216405","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216405","url":null,"abstract":"Indian Railways being one of the largest functioning units of India employs a huge amount of manual unorganized labor. Maintenance of railway coaches and bogies is provided from part of this labor. It has always been a great challenge to find an optimal operating scenario for maximized productivity. In this work, we aimed to model and maximize maintenance productivity of Indian Railway coach and bogie . Taking into consideration the volatility of the circumstances and uncorrelated behavior of different human factors affecting productivity, to obtain the best scenario five of the most critical human factors were identified that are expected to affect the maintenance of the coaches and bogies most. Cobb-Douglas production function was used to model maintenance productivity with the chosen human factors. The main goal after designing the model for productivity is to maximize it. To get the optimal productivity Differential Evolution algorithm is used. Finally, the Cuckoo search algorithm is applied to validate the results.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124898826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216432
Richard Kyung, Minjun Kye
Economic indexes can be influenced by many different factors; therefore, it is difficult to use a single variable linear regression to determine the effectiveness of patterns. Modeling an economic pattern for a focused area and performing data analysis is especially difficult with a complex data pattern. To predict the effectiveness of such a trend, this paper focuses on a specific, objective main factor that determines the economic status in the field of stock markets. The CBOE Volatility Index, known by its ticker symbol VIX, is a popular measure of the stock market’s expectation of volatility implied by S&P 500 index options. It is calculated and disseminated on a real-time basis by the Chicago Board Options Exchange (CBOE) and is commonly referred to as the fear index, or the fear gauge. In this paper, a statistical method is used to model the distribution of the maximum/minimum of a number of samples. Statistical measurements such as exceedance probability that an event exceeds mean value and return period are found based on historical data.
{"title":"Study on the CBOE Volatility Data Forecast Using Statistical and Computational Simulations","authors":"Richard Kyung, Minjun Kye","doi":"10.1109/IEMTRONICS51293.2020.9216432","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216432","url":null,"abstract":"Economic indexes can be influenced by many different factors; therefore, it is difficult to use a single variable linear regression to determine the effectiveness of patterns. Modeling an economic pattern for a focused area and performing data analysis is especially difficult with a complex data pattern. To predict the effectiveness of such a trend, this paper focuses on a specific, objective main factor that determines the economic status in the field of stock markets. The CBOE Volatility Index, known by its ticker symbol VIX, is a popular measure of the stock market’s expectation of volatility implied by S&P 500 index options. It is calculated and disseminated on a real-time basis by the Chicago Board Options Exchange (CBOE) and is commonly referred to as the fear index, or the fear gauge. In this paper, a statistical method is used to model the distribution of the maximum/minimum of a number of samples. Statistical measurements such as exceedance probability that an event exceeds mean value and return period are found based on historical data.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116720944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216334
A. Abdelhamed, G. Tewolde, Jaerock Kwon
The benefits of Autonomous Driving (AD) and Advanced Driver Assistance Systems (ADAS) include providing critical capabilities that would help to reduce accidents due to driver errors, improve safety in traffic, and enhance driving efficiency. The goal of this paper is to utilize the Robot Operating System (ROS) and Gazebo 3D simulator for realizing a fully immersive software-in-the-loop (SIL) simulation framework, which could be utilized for the virtual design, verification, and validation of AD/ADAS features. It supports designing and implementing a software platform and methodology to validate different features for AD/ADAS with a high degree of realism. The paper will also discuss the configuration of the sensors, such as the camera, LiDAR, and RADAR, that are later used as part of a sensor fusion technique that shows the usability of the developed environment.
{"title":"Simulation Framework for Development and Testing of Autonomous Vehicles","authors":"A. Abdelhamed, G. Tewolde, Jaerock Kwon","doi":"10.1109/IEMTRONICS51293.2020.9216334","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216334","url":null,"abstract":"The benefits of Autonomous Driving (AD) and Advanced Driver Assistance Systems (ADAS) include providing critical capabilities that would help to reduce accidents due to driver errors, improve safety in traffic, and enhance driving efficiency. The goal of this paper is to utilize the Robot Operating System (ROS) and Gazebo 3D simulator for realizing a fully immersive software-in-the-loop (SIL) simulation framework, which could be utilized for the virtual design, verification, and validation of AD/ADAS features. It supports designing and implementing a software platform and methodology to validate different features for AD/ADAS with a high degree of realism. The paper will also discuss the configuration of the sensors, such as the camera, LiDAR, and RADAR, that are later used as part of a sensor fusion technique that shows the usability of the developed environment.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126873322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216330
Richard Kyung, Jesang Yim
This study has analyzed the mechanical processes that would lead to an optimal design of indexed milling tools that have WC inserts. This thesis deals with the finite element stress analysis at the rake face of milling inserts with three dimensional shape. It was idealized by simplifying cutting forces uniformly distributed loading and elastic behavior was assumed.. Simulation was run on tungsten carbide specimens. Firstly, the shape of the insert cutting edges under the varying angles of the inserts were suggested. Then, an observed cutting force model was made. This permits analyzing the outcomes of the finite element stress on the cutting forces. A time-sensitive analysis was also made to observe the dynamic cutting forces and utility for the milling process. Afterwards, the models were put in a computer program to make the protocols of the models. The results show that there is a local maximum tensile stress on the rake face of the insert. It is also shown that there exist high shear stresses near the insert edge and that the normal stress decreases exponentially from a maximum value at the loading tool edge to minimum value at the other side of the insert. Results obtained are similar to those of orthogonal cutting but very much dependent on the shapes of the insert.
{"title":"Modeling Static Cutting Forces And Stresses in the Face Milling Inserts","authors":"Richard Kyung, Jesang Yim","doi":"10.1109/IEMTRONICS51293.2020.9216330","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216330","url":null,"abstract":"This study has analyzed the mechanical processes that would lead to an optimal design of indexed milling tools that have WC inserts. This thesis deals with the finite element stress analysis at the rake face of milling inserts with three dimensional shape. It was idealized by simplifying cutting forces uniformly distributed loading and elastic behavior was assumed.. Simulation was run on tungsten carbide specimens. Firstly, the shape of the insert cutting edges under the varying angles of the inserts were suggested. Then, an observed cutting force model was made. This permits analyzing the outcomes of the finite element stress on the cutting forces. A time-sensitive analysis was also made to observe the dynamic cutting forces and utility for the milling process. Afterwards, the models were put in a computer program to make the protocols of the models. The results show that there is a local maximum tensile stress on the rake face of the insert. It is also shown that there exist high shear stresses near the insert edge and that the normal stress decreases exponentially from a maximum value at the loading tool edge to minimum value at the other side of the insert. Results obtained are similar to those of orthogonal cutting but very much dependent on the shapes of the insert.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126506798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216409
Jose Pacheco, K. Miranda
The Internet of Things allows computers, people, and physical electronic devices to communicate with each other in all combinations, for example, people to people, people to computer, and computer to fridge by using a Internet connection. Hence, Smart home applications are very popular nowadays. The main goal of a smart home is to improve tasks such as home monitoring or security management. In particular, digital locks have evolved by using the Internet of Things technology. In this work, we present an NFC door lock implementation that is low-cost and user friendly based on Arduino boards as the microcontroller. The main advantage of our proposed prototype is that it can be easily installed and scalable on-demand due to the devices can work independently with each other.
{"title":"Design of a low-cost NFC Door Lock for a Smart Home System","authors":"Jose Pacheco, K. Miranda","doi":"10.1109/IEMTRONICS51293.2020.9216409","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216409","url":null,"abstract":"The Internet of Things allows computers, people, and physical electronic devices to communicate with each other in all combinations, for example, people to people, people to computer, and computer to fridge by using a Internet connection. Hence, Smart home applications are very popular nowadays. The main goal of a smart home is to improve tasks such as home monitoring or security management. In particular, digital locks have evolved by using the Internet of Things technology. In this work, we present an NFC door lock implementation that is low-cost and user friendly based on Arduino boards as the microcontroller. The main advantage of our proposed prototype is that it can be easily installed and scalable on-demand due to the devices can work independently with each other.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129297828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216392
Ridho Hendra Yoga Perdana, Nur Hidayati, A. W. Yulianto, Vipkas Al Hadid Firdaus, Nila Novita Sari, D. Suprianto
Nowadays, the evolution of a factory has pushed towards a smart learning factory. By having the ability to learn, monitor each device and the resulting product will get more precise product results according to design. Detection of a place to put a product or called a jig on a shuttle whose number is different becomes something that is often missed from observation. With the scanning method with five pieces of ultrasonic sensors, the detection speed is 50 µs, and the detection accuracy is 100% for distances less than 25cm. The detection process of the jig is sent and stored by IoT Gateway as a Big Data Cluster via wifi media with a performance of 99.4%. The process of storing data on the IoT Cloud as the Main Big Data has a performance of 100% of the data on the IoT Gateway.
{"title":"Jig Detection Using Scanning Method Base On Internet Of Things For Smart Learning Factory","authors":"Ridho Hendra Yoga Perdana, Nur Hidayati, A. W. Yulianto, Vipkas Al Hadid Firdaus, Nila Novita Sari, D. Suprianto","doi":"10.1109/IEMTRONICS51293.2020.9216392","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216392","url":null,"abstract":"Nowadays, the evolution of a factory has pushed towards a smart learning factory. By having the ability to learn, monitor each device and the resulting product will get more precise product results according to design. Detection of a place to put a product or called a jig on a shuttle whose number is different becomes something that is often missed from observation. With the scanning method with five pieces of ultrasonic sensors, the detection speed is 50 µs, and the detection accuracy is 100% for distances less than 25cm. The detection process of the jig is sent and stored by IoT Gateway as a Big Data Cluster via wifi media with a performance of 99.4%. The process of storing data on the IoT Cloud as the Main Big Data has a performance of 100% of the data on the IoT Gateway.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127818687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216344
Maher J. Ameen, A. A. Hassan, Ahmed M. Sadeq Al-Salakh, Janan H. Saadie, Ammar M. Alnajem
This paper presents further development and utilization of force platforms to evaluate and analysis of forces obtained due to rotation movements of sport activities using Labview software. The platform was designed with ring-shaped to provide and simulate the required space of rotation for testing these activities. The proposed force platform was fabricated with 2.5 m diameter and calibrated with standard force platforms to provide the required measurement sensitivity and accuracy. The data acquisition and Labview software were developed to perform different mathematical calculations. The obtained experimental tests results for different throwing sport activities showed good convergence to analyse athletes performances. Although the proposed force platform was initially employed to measure and analyse force due to rotation, it can be employed to measure other parameters related to athletes performances including torque, acceleration, displacement and moment based on computer vision tracking system. In comparison with the existing platforms, the fabricated platform has features of collecting a large variety of data with high quality for analysis and decision-making of athletes performances performing rotation movements.
{"title":"Ring-Shaped Force Platform for Developing Instrumented Throwing and Shifting Forces Due to Rotation Analysis","authors":"Maher J. Ameen, A. A. Hassan, Ahmed M. Sadeq Al-Salakh, Janan H. Saadie, Ammar M. Alnajem","doi":"10.1109/IEMTRONICS51293.2020.9216344","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216344","url":null,"abstract":"This paper presents further development and utilization of force platforms to evaluate and analysis of forces obtained due to rotation movements of sport activities using Labview software. The platform was designed with ring-shaped to provide and simulate the required space of rotation for testing these activities. The proposed force platform was fabricated with 2.5 m diameter and calibrated with standard force platforms to provide the required measurement sensitivity and accuracy. The data acquisition and Labview software were developed to perform different mathematical calculations. The obtained experimental tests results for different throwing sport activities showed good convergence to analyse athletes performances. Although the proposed force platform was initially employed to measure and analyse force due to rotation, it can be employed to measure other parameters related to athletes performances including torque, acceleration, displacement and moment based on computer vision tracking system. In comparison with the existing platforms, the fabricated platform has features of collecting a large variety of data with high quality for analysis and decision-making of athletes performances performing rotation movements.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132474812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216335
Robert Drehmel, M. Hefele
As the architectures of FPGA-SoCs become more complex, it is increasingly important to find new ways to optimize the utilization of the interconnects that connect the various components like I/O cores, processors, and memories. Here we present a semi-autonomous soft I2C core and a systematic analysis of the performance characteristics of this core in a Linux system. Compared to a conventional I2C core, the devised core used with a new API reduces the average irq processor utilization in monitoring applications by 87.28% for SMBus Read Word operations and by 81.59% for SMBus Write Word operations, while maximizing I2C bus throughput and improving temporal predictability of I2C message transfers. The results show that overhead of interrupt processing to periodically fill a TX FIFO can be substantial and that designing an I/O core to be less dependent on a general-purpose processor can improve system performance considerably.
{"title":"Increasing Autonomy of I/O Cores in Heterogeneous FPGA-SoCs for Data Acquisition Applications","authors":"Robert Drehmel, M. Hefele","doi":"10.1109/IEMTRONICS51293.2020.9216335","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216335","url":null,"abstract":"As the architectures of FPGA-SoCs become more complex, it is increasingly important to find new ways to optimize the utilization of the interconnects that connect the various components like I/O cores, processors, and memories. Here we present a semi-autonomous soft I2C core and a systematic analysis of the performance characteristics of this core in a Linux system. Compared to a conventional I2C core, the devised core used with a new API reduces the average irq processor utilization in monitoring applications by 87.28% for SMBus Read Word operations and by 81.59% for SMBus Write Word operations, while maximizing I2C bus throughput and improving temporal predictability of I2C message transfers. The results show that overhead of interrupt processing to periodically fill a TX FIFO can be substantial and that designing an I/O core to be less dependent on a general-purpose processor can improve system performance considerably.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130115927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2020-09-01DOI: 10.1109/IEMTRONICS51293.2020.9216368
U. K. K. Pillai, Damian Valles
The National Center for Missing & Exploited Children estimated that 161 AMBER Alerts were issued in the U.S. involving 203 children in 2018, where 85% had involved vehicles and in Florida, 136 Silver Alerts were issued in 2008-2009. The details of broadcasting in Amber and Silver alerts are color, type of the vehicle, vehicle license plate numbers, and car brands. This paper is focused on classifying and detecting vehicle types, colors, and license plates. Currently, a child and older adult were rescued when someone recognized the vehicle in the alert. This paper proposes to design a Machine Learning model to classify the vehicle’s colors, types and recognize each vehicle’s license plate from camera feeds under different weather conditions and to find possible matches involved in these emergency alerts for the safe return of a child and older adult. Vehicle types include seven classes such as SUV, Sedan, Truck, Bus, Microbus, Minivan, and Motorcycle. Vehicle colors include eight classes: green, blue, black, white, gray, yellow, white, and red. When an Amber or Silver signal is broadcast, the proposed design checks with the vehicle’s specifications and extracts the color and type of the vehicle. The model then recognizes the vehicle’s license plate of specific vehicle’s color and type using image processing techniques and give notification of detected vehicle. Implementing CNN, real-time object detector YOLO, and character recognition model will improve detection and classify vehicle’s type, color, and recognize license plate numbers and letters accurately under different environmental conditions for Amber and Silver alert emergencies.
{"title":"Vehicle Type and Color Classification and Detection for Amber and Silver Alert Emergencies Using Machine Learning","authors":"U. K. K. Pillai, Damian Valles","doi":"10.1109/IEMTRONICS51293.2020.9216368","DOIUrl":"https://doi.org/10.1109/IEMTRONICS51293.2020.9216368","url":null,"abstract":"The National Center for Missing & Exploited Children estimated that 161 AMBER Alerts were issued in the U.S. involving 203 children in 2018, where 85% had involved vehicles and in Florida, 136 Silver Alerts were issued in 2008-2009. The details of broadcasting in Amber and Silver alerts are color, type of the vehicle, vehicle license plate numbers, and car brands. This paper is focused on classifying and detecting vehicle types, colors, and license plates. Currently, a child and older adult were rescued when someone recognized the vehicle in the alert. This paper proposes to design a Machine Learning model to classify the vehicle’s colors, types and recognize each vehicle’s license plate from camera feeds under different weather conditions and to find possible matches involved in these emergency alerts for the safe return of a child and older adult. Vehicle types include seven classes such as SUV, Sedan, Truck, Bus, Microbus, Minivan, and Motorcycle. Vehicle colors include eight classes: green, blue, black, white, gray, yellow, white, and red. When an Amber or Silver signal is broadcast, the proposed design checks with the vehicle’s specifications and extracts the color and type of the vehicle. The model then recognizes the vehicle’s license plate of specific vehicle’s color and type using image processing techniques and give notification of detected vehicle. Implementing CNN, real-time object detector YOLO, and character recognition model will improve detection and classify vehicle’s type, color, and recognize license plate numbers and letters accurately under different environmental conditions for Amber and Silver alert emergencies.","PeriodicalId":269697,"journal":{"name":"2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131449606","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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