Pub Date : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315601
J. J. Jijesh, Shiva Shankar, Ranjitha, D. Revathi, M. Shivaranjini, R. Sirisha
Consuming of healthy fruits is pivotal for all human beings as they are the source of energy. It is essential to consume good quality of food items. These days’ buyers are assessing food visually for its quality. This manual procedure brings about additional time and it is a relentless and tiring task. Thus, there is a need for an automatic machine which identifies the imperfections, and sorts them as per quality. The proposed system captures the fruit placed on conveyor belt then the captured image is compared with the trained data set using Convolutional Neural Network Network (CNN) algorithm which extracts the features of the fruits like texture, color, and size. In the convolution layer of CNN edges from raw pixel data are detected further. These edges are used to detect shapes and then higher level features are detected by shapes. This paper presented the sorting of apple fruit based on their quality such as Type A (best) Type B (raw or average) and Type C (worst) done by using CNN which is a deep learning algorithm. The objective of the work is to improve the accuracy and efficiency by automatic sorting system which mainly helps in reducing time. The proposed model classifies the fruits with an average accuracy of 96.66%.
{"title":"Development of Machine Learning based Fruit Detection and Grading system","authors":"J. J. Jijesh, Shiva Shankar, Ranjitha, D. Revathi, M. Shivaranjini, R. Sirisha","doi":"10.1109/RTEICT49044.2020.9315601","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315601","url":null,"abstract":"Consuming of healthy fruits is pivotal for all human beings as they are the source of energy. It is essential to consume good quality of food items. These days’ buyers are assessing food visually for its quality. This manual procedure brings about additional time and it is a relentless and tiring task. Thus, there is a need for an automatic machine which identifies the imperfections, and sorts them as per quality. The proposed system captures the fruit placed on conveyor belt then the captured image is compared with the trained data set using Convolutional Neural Network Network (CNN) algorithm which extracts the features of the fruits like texture, color, and size. In the convolution layer of CNN edges from raw pixel data are detected further. These edges are used to detect shapes and then higher level features are detected by shapes. This paper presented the sorting of apple fruit based on their quality such as Type A (best) Type B (raw or average) and Type C (worst) done by using CNN which is a deep learning algorithm. The objective of the work is to improve the accuracy and efficiency by automatic sorting system which mainly helps in reducing time. The proposed model classifies the fruits with an average accuracy of 96.66%.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123837336","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 : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315711
P. Sushma, S. Kulkarni
Operational transconductance amplifier are the most frequently used analog block in analog front end of wearable, portable and implantable biomedical devices. A low power OTA with low transconductance is designed based on series parallel current mirror and current cancellation technique with bulk driven input differential pair. The designed OTA is simulated using Cadence virtuoso tool in gpdk 180 nm CMOS process. It has DC gain of 44.5 dB and UGBW of 22 kHz with 0.4 V power supply consuming 40.86 nW of power. Also, a Gm-C low pass filter is designed using the proposed OTA and is suitable for low frequency applications as it has cut-off frequency in the range 32 Hz - 263 Hz.
{"title":"Low Power OTA with Series Parallel Current Mirror for Low frequency Gm-C Filters","authors":"P. Sushma, S. Kulkarni","doi":"10.1109/RTEICT49044.2020.9315711","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315711","url":null,"abstract":"Operational transconductance amplifier are the most frequently used analog block in analog front end of wearable, portable and implantable biomedical devices. A low power OTA with low transconductance is designed based on series parallel current mirror and current cancellation technique with bulk driven input differential pair. The designed OTA is simulated using Cadence virtuoso tool in gpdk 180 nm CMOS process. It has DC gain of 44.5 dB and UGBW of 22 kHz with 0.4 V power supply consuming 40.86 nW of power. Also, a Gm-C low pass filter is designed using the proposed OTA and is suitable for low frequency applications as it has cut-off frequency in the range 32 Hz - 263 Hz.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125256941","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 : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315639
Shivaraj C Havanur, M. Shambulinga, H. V. Manjunatha Reddy
in this work an X-Band SIW H-Plane horn antenna is designed and its performances are analyzed comparing with conventional Horn antennas. Many Military applications use X-Band, 8GHz to 12GHz for communication. The Antenna is designed for radiating frequency of 10 GHz. The peak power gain at 10 GHz is 11.81dB and Half Power Beam Width (HPBW) of the SIW Horn antenna is 30.2 degrees. Size of the Antenna is 114.35mmX103.9mmX3.07mm, 66.53% Electrical power is converted to EM signal. The VSWR of Antenna is found to be 1.11 at 10GHz. The radiating performance of this SIW antenna is very much advantageous than conventional planar and metallic structures.
{"title":"Performance Analysis of Substrate Integrated Waveguide H-Plane Horn Antenna","authors":"Shivaraj C Havanur, M. Shambulinga, H. V. Manjunatha Reddy","doi":"10.1109/RTEICT49044.2020.9315639","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315639","url":null,"abstract":"in this work an X-Band SIW H-Plane horn antenna is designed and its performances are analyzed comparing with conventional Horn antennas. Many Military applications use X-Band, 8GHz to 12GHz for communication. The Antenna is designed for radiating frequency of 10 GHz. The peak power gain at 10 GHz is 11.81dB and Half Power Beam Width (HPBW) of the SIW Horn antenna is 30.2 degrees. Size of the Antenna is 114.35mmX103.9mmX3.07mm, 66.53% Electrical power is converted to EM signal. The VSWR of Antenna is found to be 1.11 at 10GHz. The radiating performance of this SIW antenna is very much advantageous than conventional planar and metallic structures.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"230 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122527865","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 : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315666
Arti Badhoutiya, S. Chandra, S. Goyal
Grid integration of PV panels is trending in developing countries in order to have a sustainable alternative for the power generation. An AC module employed to harness the solar energy comprises a PV module with a grid-coupled inverter. Among different arrangements of AC module, transformerless single stage arrangement is highly efficient. ZSI being one of such arrangements have seen a fast evolution since its first release in 2003, the evolution includes its different topologies as well as its control and modulation schemes to enhance its performance in different perspectives. This paper work includes a comparative analysis of different modulation schemes employed for 3-Ø ZSI in order to emphasize on the basic differences between them and finally conclude with a suitable technique to obtain the high output voltage along with low voltage stress on the switching devices of the inverter.
{"title":"Comparative Evaluation Of Modulation Schemes Applied For Pv Connected Z-Source Inverter","authors":"Arti Badhoutiya, S. Chandra, S. Goyal","doi":"10.1109/RTEICT49044.2020.9315666","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315666","url":null,"abstract":"Grid integration of PV panels is trending in developing countries in order to have a sustainable alternative for the power generation. An AC module employed to harness the solar energy comprises a PV module with a grid-coupled inverter. Among different arrangements of AC module, transformerless single stage arrangement is highly efficient. ZSI being one of such arrangements have seen a fast evolution since its first release in 2003, the evolution includes its different topologies as well as its control and modulation schemes to enhance its performance in different perspectives. This paper work includes a comparative analysis of different modulation schemes employed for 3-Ø ZSI in order to emphasize on the basic differences between them and finally conclude with a suitable technique to obtain the high output voltage along with low voltage stress on the switching devices of the inverter.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127736856","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 : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315673
Jagrati Gupta
Human brain processes the information and makes decision efficiently by consuming very low amount of power. Graphics processing unit (GPUs) and Field Programmable Gate Arrays (FPGAs) are being used nowadays for low power portable applications but power consumption is not yet comparable to biological brain. In addition to less energy dissipation, there is requirement of mimicking real neuron with simple neuronal structure so that it can cater the need for implementation of less complex spiking neural networks. In an attempt to fulfill both the above requirements, a simple leaky integrate and fire neuron based artificial neuron has been proposed where the tunability of parameters like discharge time of capacitor is tunable. The tunability of parameters also leads to flexibility of design. The proposed design is novel as the design consists of basic electronic components such as SCR, resistors, diodes and capacitors which makes design simple. The design has been simulated in LTspice and simulation results shows the spiking activity of neuron when a sinusoidal signal acts as input from the source. The proposed design consumes power in nJ and can further be reduced by scaling the electronic components thus opens the path for large scale spiking neuron networks implementations for various applications such as pattern recognition.
{"title":"Silicon Controlled Rectifier based neuronal model for low power applications","authors":"Jagrati Gupta","doi":"10.1109/RTEICT49044.2020.9315673","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315673","url":null,"abstract":"Human brain processes the information and makes decision efficiently by consuming very low amount of power. Graphics processing unit (GPUs) and Field Programmable Gate Arrays (FPGAs) are being used nowadays for low power portable applications but power consumption is not yet comparable to biological brain. In addition to less energy dissipation, there is requirement of mimicking real neuron with simple neuronal structure so that it can cater the need for implementation of less complex spiking neural networks. In an attempt to fulfill both the above requirements, a simple leaky integrate and fire neuron based artificial neuron has been proposed where the tunability of parameters like discharge time of capacitor is tunable. The tunability of parameters also leads to flexibility of design. The proposed design is novel as the design consists of basic electronic components such as SCR, resistors, diodes and capacitors which makes design simple. The design has been simulated in LTspice and simulation results shows the spiking activity of neuron when a sinusoidal signal acts as input from the source. The proposed design consumes power in nJ and can further be reduced by scaling the electronic components thus opens the path for large scale spiking neuron networks implementations for various applications such as pattern recognition.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114633908","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 : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315555
Shiva Shankar, Mahaveer Penna, Dileep Reddy Bolla, Keshava Murthy, J. J. Jijesh, H. A. Navyashree
By supporting smart cities and smart railways, India is heading in a smart direction now-a-days, we have taken a small initiative in this aspect by introducing an innovation in the Indian railway system in the domestic railway platform. The goal for this innovation is to resolve few issues faced by physically disabled individuals and senior citizens while crossing the bridge between the two railway platforms by foot. A updated smart platform is suggested on paper to solve this problem. The Smart Platform on the side of the Crossing Point Platform is interested in the railway tracks. The Smart Platform will open when there is no train arriving at the station. The smart interface can be used for visually disabled people to cross between platforms. On both sides of the road, proximity sensors and the camera unit are configured. If the train hits one sensor, the signals will be transmitted to the camera unit, the image will be captured further by the camera, and the CNN algorithm will decide whether the image captured is some other image of the train. The virtual platform works on the basis of this performance. If the captured image is of a train, the smart platform will then close and allow the trains to go through the tracks, and the smart platform will open automatically between the platforms when the train leaves the second sensor. The train entering the railway stations will be announced and demonstrated by LED signals in a voice system. The proposed system provides the best response without using foot over bridge for the travel of physically disabled people from one platform to another platform.
{"title":"Real Time Image Classification Based Smart Railway Platform Using Convolutional Neural Network","authors":"Shiva Shankar, Mahaveer Penna, Dileep Reddy Bolla, Keshava Murthy, J. J. Jijesh, H. A. Navyashree","doi":"10.1109/RTEICT49044.2020.9315555","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315555","url":null,"abstract":"By supporting smart cities and smart railways, India is heading in a smart direction now-a-days, we have taken a small initiative in this aspect by introducing an innovation in the Indian railway system in the domestic railway platform. The goal for this innovation is to resolve few issues faced by physically disabled individuals and senior citizens while crossing the bridge between the two railway platforms by foot. A updated smart platform is suggested on paper to solve this problem. The Smart Platform on the side of the Crossing Point Platform is interested in the railway tracks. The Smart Platform will open when there is no train arriving at the station. The smart interface can be used for visually disabled people to cross between platforms. On both sides of the road, proximity sensors and the camera unit are configured. If the train hits one sensor, the signals will be transmitted to the camera unit, the image will be captured further by the camera, and the CNN algorithm will decide whether the image captured is some other image of the train. The virtual platform works on the basis of this performance. If the captured image is of a train, the smart platform will then close and allow the trains to go through the tracks, and the smart platform will open automatically between the platforms when the train leaves the second sensor. The train entering the railway stations will be announced and demonstrated by LED signals in a voice system. The proposed system provides the best response without using foot over bridge for the travel of physically disabled people from one platform to another platform.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122185433","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 : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315553
J. Giri, A. Murty
The quick advancement of distributed computing and portable registering trigger novel figuring worldview. Versatile Cloud Computing as unique of the significant parts of distributed computing. As per the present circumstance there is a tremendous expanding use of portable registering, misusing its troublesome because of its natural issues, for example, visit detachments, portability, and asset shortage. Portable Cloud Computing furnishes versatile clients with information stockpiling and handling administrations on a distributed computing stage. MCC can be characterized as a mix of versatile web and distributed computing, which is the utmost well known apparatus for portable clients to get to requests and administrations on the Internet. Right now, the particular worries in portable distributed computing. We give a broad review of portable distributed computing research.
{"title":"An Evaluation of Security Key in Mobile Cloud","authors":"J. Giri, A. Murty","doi":"10.1109/RTEICT49044.2020.9315553","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315553","url":null,"abstract":"The quick advancement of distributed computing and portable registering trigger novel figuring worldview. Versatile Cloud Computing as unique of the significant parts of distributed computing. As per the present circumstance there is a tremendous expanding use of portable registering, misusing its troublesome because of its natural issues, for example, visit detachments, portability, and asset shortage. Portable Cloud Computing furnishes versatile clients with information stockpiling and handling administrations on a distributed computing stage. MCC can be characterized as a mix of versatile web and distributed computing, which is the utmost well known apparatus for portable clients to get to requests and administrations on the Internet. Right now, the particular worries in portable distributed computing. We give a broad review of portable distributed computing research.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122850776","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 : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315733
B. M. Chaya, C. Esther, Eranti Vikas, Gajula Pavani
This paper describes the effects of Nano grating structures incorporated on the Organic Light Emitting Diode (OLED). The Nano grating structures are incorporated on the glass substrate to reduce substrate losses that exist in OLED. Braggs theory is used to model the Nano grating structure. Finite difference time domain method is applied to obtain numerical analysis of the proposed OLED design. The incorporation of Nano grating structure helps to reduce total internal reflection that exist in OLED and enhance transmission. The optical characteristics such as Light extraction efficiency (LEE), Purcell and transmission were obtained for an operating wavelength of 540nm. Comparative study is carried out for OLED without pattering and with patterning using Nano grating Structure.
{"title":"Design and Simulation of effects of the Nano grating structures on Organic Light Emitting Diode","authors":"B. M. Chaya, C. Esther, Eranti Vikas, Gajula Pavani","doi":"10.1109/RTEICT49044.2020.9315733","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315733","url":null,"abstract":"This paper describes the effects of Nano grating structures incorporated on the Organic Light Emitting Diode (OLED). The Nano grating structures are incorporated on the glass substrate to reduce substrate losses that exist in OLED. Braggs theory is used to model the Nano grating structure. Finite difference time domain method is applied to obtain numerical analysis of the proposed OLED design. The incorporation of Nano grating structure helps to reduce total internal reflection that exist in OLED and enhance transmission. The optical characteristics such as Light extraction efficiency (LEE), Purcell and transmission were obtained for an operating wavelength of 540nm. Comparative study is carried out for OLED without pattering and with patterning using Nano grating Structure.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"431 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116004094","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 : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315596
P. N. Koteswara Rao, R. Mahalakshmi
Among various types of Wind Turbine Generators(WTGs), Permanent Magnet Synchronous Generator(PMSG) based standalone Wind Turbine (WT) has a few points of interest which make it exceptionally useful for Wind Energy Conversion Systems (WECs). As wind speed and the consumer load vary, WECs require a power electronic converter interface. This paper mainly focuses on effective control coordination among the WTG, battery controller and power electronics converters control for varying wind speed conditions and load conditions. The proposed system is modelled and simulated using MATLAB/SIMULINK environment. The objective of the proposed control strategy is such as the derivation of Maximum Power from the WTGs, maintaining Constant DC link voltage during dynamic wind speed and load conditions and is well suited for improving the PMSG based WECs efficiency. Hardware implementation of the scaled down model of the proposed system is developed.
{"title":"Effective Control Co-ordination of Standalone PMSG based Wind Energy Conversion System with Battery Storage under Different Wind Speed and Load Conditions","authors":"P. N. Koteswara Rao, R. Mahalakshmi","doi":"10.1109/RTEICT49044.2020.9315596","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315596","url":null,"abstract":"Among various types of Wind Turbine Generators(WTGs), Permanent Magnet Synchronous Generator(PMSG) based standalone Wind Turbine (WT) has a few points of interest which make it exceptionally useful for Wind Energy Conversion Systems (WECs). As wind speed and the consumer load vary, WECs require a power electronic converter interface. This paper mainly focuses on effective control coordination among the WTG, battery controller and power electronics converters control for varying wind speed conditions and load conditions. The proposed system is modelled and simulated using MATLAB/SIMULINK environment. The objective of the proposed control strategy is such as the derivation of Maximum Power from the WTGs, maintaining Constant DC link voltage during dynamic wind speed and load conditions and is well suited for improving the PMSG based WECs efficiency. Hardware implementation of the scaled down model of the proposed system is developed.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126777696","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 : 2020-11-12DOI: 10.1109/RTEICT49044.2020.9315645
R. Gatti, J. Avinash, N. Nataraja, G. Poornima, S. Santosh Kumar, K. S. Sunil Kumar
Several problems faced by the visually impaired people were addressed over the past 3 decades. It includes transportation, text to voice conversion, alarm, and usage of the internet. There exist still several areas, where support and help for the visually impaired people are dependent on others. Among them is accessing the daily essential needs is of prime concern. Design and implementation of the visual system are proposed in this paper to help and support visually impaired people using Artificial Neural Networks (ANNs). Here deep learning technique is used for the identification of the objects and the distance of the object is measured using an ultrasonic sensor. The proposed methodology suits better for the conversion of the visual scenarios into voice messages along with the distinct location of the objects. The accuracy of the proposed visual model depends on the data sets used in the ANN algorithm. As the depth of the training data set increases, the performance of the prototype also increases with reduced processing delay in identifying the objects. OpenCV platform is used along with the python programming language to navigate through the surrounding.
{"title":"Design and Implementation of Vision Module for Visually Impaired People","authors":"R. Gatti, J. Avinash, N. Nataraja, G. Poornima, S. Santosh Kumar, K. S. Sunil Kumar","doi":"10.1109/RTEICT49044.2020.9315645","DOIUrl":"https://doi.org/10.1109/RTEICT49044.2020.9315645","url":null,"abstract":"Several problems faced by the visually impaired people were addressed over the past 3 decades. It includes transportation, text to voice conversion, alarm, and usage of the internet. There exist still several areas, where support and help for the visually impaired people are dependent on others. Among them is accessing the daily essential needs is of prime concern. Design and implementation of the visual system are proposed in this paper to help and support visually impaired people using Artificial Neural Networks (ANNs). Here deep learning technique is used for the identification of the objects and the distance of the object is measured using an ultrasonic sensor. The proposed methodology suits better for the conversion of the visual scenarios into voice messages along with the distinct location of the objects. The accuracy of the proposed visual model depends on the data sets used in the ANN algorithm. As the depth of the training data set increases, the performance of the prototype also increases with reduced processing delay in identifying the objects. OpenCV platform is used along with the python programming language to navigate through the surrounding.","PeriodicalId":367246,"journal":{"name":"2020 International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116581848","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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