Pub Date : 2023-02-02DOI: 10.1109/ICAIS56108.2023.10073729
Rohini M, R. A, Rithik A, Steve John D
Car is a machine that carries humans from one geographical location to another using road and rail network and statistics that as per the financial year 2019-2020 approximately 300 million cars are on the Indian roads. This figure is also increasing on daily basis; due to this scenario traffic in the road is also increasing on the other hand. Over past two decades government taking huge initiatives to reduce the traffic on the road but diminutive contribution was made on the parking system. This paper has complete solution for car parking system with the help of IR sensors and internet of things. An automatic and smart parking system suggested in this article, can able to provide a remedy for parking system problems. This system guides the car drivers to find their appropriate vacant parking space on timely basis-based availability. This can help to save the fuel and time of the users and it can be used in a place where people gather in a large number such marriage halls, public parking yards, shopping malls and a lot more.
{"title":"IoT based Smart Car Parking System with the Help of Sensors Networks","authors":"Rohini M, R. A, Rithik A, Steve John D","doi":"10.1109/ICAIS56108.2023.10073729","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073729","url":null,"abstract":"Car is a machine that carries humans from one geographical location to another using road and rail network and statistics that as per the financial year 2019-2020 approximately 300 million cars are on the Indian roads. This figure is also increasing on daily basis; due to this scenario traffic in the road is also increasing on the other hand. Over past two decades government taking huge initiatives to reduce the traffic on the road but diminutive contribution was made on the parking system. This paper has complete solution for car parking system with the help of IR sensors and internet of things. An automatic and smart parking system suggested in this article, can able to provide a remedy for parking system problems. This system guides the car drivers to find their appropriate vacant parking space on timely basis-based availability. This can help to save the fuel and time of the users and it can be used in a place where people gather in a large number such marriage halls, public parking yards, shopping malls and a lot more.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131728404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-02DOI: 10.1109/ICAIS56108.2023.10073726
S. Sujitha, Surat Pyari, W. Y. Jhansipriya, Yannam Roopeswar Reddy, R. Vinod Kumar, P. Ravi Nandan
The future cars are more dependent on the internet. It is all-electric and independent, where both the knowledge is equally required. The expanded requirement for safe electronic frameworks in vehicles, that drivers and travelers can depend on, are the underpinning of trust and shape the future towards more elevated levels of robotized driving. The effective and business utilization of self-driving/driverless/automated/computerized vehicle will make human existence more straightforward. This article discusses about this challenge. This paper surveys the vital innovation of a self-driving vehicle. In this paper, the four vital advances in self-driving vehicle, in particular, red and green light detection, object detection, lane end detection and stop sign detection, are tended to and overviewed. The principal research establishments and bunches in various nations are summed up. At last, the discussions of self-driving vehicle are talked about and the improvement pattern of self-driving vehicle is anticipated.
{"title":"Artificial Intelligence based Self-Driving Car using Robotic Model","authors":"S. Sujitha, Surat Pyari, W. Y. Jhansipriya, Yannam Roopeswar Reddy, R. Vinod Kumar, P. Ravi Nandan","doi":"10.1109/ICAIS56108.2023.10073726","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073726","url":null,"abstract":"The future cars are more dependent on the internet. It is all-electric and independent, where both the knowledge is equally required. The expanded requirement for safe electronic frameworks in vehicles, that drivers and travelers can depend on, are the underpinning of trust and shape the future towards more elevated levels of robotized driving. The effective and business utilization of self-driving/driverless/automated/computerized vehicle will make human existence more straightforward. This article discusses about this challenge. This paper surveys the vital innovation of a self-driving vehicle. In this paper, the four vital advances in self-driving vehicle, in particular, red and green light detection, object detection, lane end detection and stop sign detection, are tended to and overviewed. The principal research establishments and bunches in various nations are summed up. At last, the discussions of self-driving vehicle are talked about and the improvement pattern of self-driving vehicle is anticipated.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128839861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-02DOI: 10.1109/ICAIS56108.2023.10073768
Priscilla R, D. R, Pandi A
Agriculture automation is the main concern and an emerging subject across the globe. The populations are increasing, and the demand for agricultural products is increasing rapidly. However, in real time, 35% of the agricultural products are wasted due to several reasons. The traditional method is not sufficient to manage the demands. Increasing the fertilisers for a high yield and using harmful pesticides will affect the soil. Therefore, this paper comes with an application created based on different techniques like artificial intelligence, machine learning, and deep learning. There are certain areas that affect agriculture, like crop disease, water resources, crop monitoring, lack of storage space, and warehouse storage space. This application can solve this problem by utilising the aforementioned technologies. Pesticides have altered the majority of agricultural soils for the worse. New technologies will be beneficial to agriculture in terms of increasing soil productivity and fertility. This paper has surveyed many researchers to get a brief overview of the new technologies in current agriculture. It also discussed a proposed system that implemented ML, DL, and AI for disease classification, crop monitoring, crop and fertiliser recommendation, and warehouse spaces.
{"title":"Agriculture-based Automation with Recommendation Systems based on AI Models","authors":"Priscilla R, D. R, Pandi A","doi":"10.1109/ICAIS56108.2023.10073768","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073768","url":null,"abstract":"Agriculture automation is the main concern and an emerging subject across the globe. The populations are increasing, and the demand for agricultural products is increasing rapidly. However, in real time, 35% of the agricultural products are wasted due to several reasons. The traditional method is not sufficient to manage the demands. Increasing the fertilisers for a high yield and using harmful pesticides will affect the soil. Therefore, this paper comes with an application created based on different techniques like artificial intelligence, machine learning, and deep learning. There are certain areas that affect agriculture, like crop disease, water resources, crop monitoring, lack of storage space, and warehouse storage space. This application can solve this problem by utilising the aforementioned technologies. Pesticides have altered the majority of agricultural soils for the worse. New technologies will be beneficial to agriculture in terms of increasing soil productivity and fertility. This paper has surveyed many researchers to get a brief overview of the new technologies in current agriculture. It also discussed a proposed system that implemented ML, DL, and AI for disease classification, crop monitoring, crop and fertiliser recommendation, and warehouse spaces.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125529538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-02DOI: 10.1109/ICAIS56108.2023.10073808
Ravi Kiran G, Venkata Ratna Prabha K, Venu K, Thanuja J, Jahnavi S, Ramesh P
Parkinson's disease (PD) is a common neurodegenerative disorder that affects millions of people worldwide. Parkinson's disease is driven by low amounts of the neurotransmitter serotonin and it is developed by the subtle degradation of dopamine-producing cells within the brain. Still, there is no real treatment for Parkinson's disease, although the symptoms can be constrained as allowing it to be delayed. Research shows that "diagnosis" is vital for symptom management. However, PD diagnosis is complex, particularly in the early stages of the illness. This study mentions variety of approaches for detecting Parkinson's disease (PD), like deep learning (DL), transfer learning, convolutional neural networks (CNN), machine learning (ML), and the Internet of things (IOT), but it also displays the results of multiple studies conducted by other scientists using different techniques.
{"title":"A Review of Multiple Prognosticate Techniques for Parkinson's Disease","authors":"Ravi Kiran G, Venkata Ratna Prabha K, Venu K, Thanuja J, Jahnavi S, Ramesh P","doi":"10.1109/ICAIS56108.2023.10073808","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073808","url":null,"abstract":"Parkinson's disease (PD) is a common neurodegenerative disorder that affects millions of people worldwide. Parkinson's disease is driven by low amounts of the neurotransmitter serotonin and it is developed by the subtle degradation of dopamine-producing cells within the brain. Still, there is no real treatment for Parkinson's disease, although the symptoms can be constrained as allowing it to be delayed. Research shows that \"diagnosis\" is vital for symptom management. However, PD diagnosis is complex, particularly in the early stages of the illness. This study mentions variety of approaches for detecting Parkinson's disease (PD), like deep learning (DL), transfer learning, convolutional neural networks (CNN), machine learning (ML), and the Internet of things (IOT), but it also displays the results of multiple studies conducted by other scientists using different techniques.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126829121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-02DOI: 10.1109/ICAIS56108.2023.10073752
Siddharth Sameer, Jayshree Pande, S. Devi
Patients with COVID-19 generally recover within a fortnight or a month. However, some patients, even those with milder types of the disease, experience symptoms after they have recovered. Symptoms of COVID-19 might continue for months at a time. The virus affects the heart, brain, and lungs, perhaps leading to long-term health-related problems. Thus, it is critical to keep track of any post-COVID symptoms to prevent further complications. Keeping that in focus, two apps are created to monitor these symptoms in people who have recovered from COVID 19 with comorbidities includes Diabetes, coronary artery diseases and hypertension. In this project, the patient's data was obtained from selected hospitals in Pune, and stored in Google Firebase. This data was used while making the backend algorithms for the apps. Android Studio and Figma were used to design and develop these apps. One app will be used by the patients, which allows them to post their health conditions if they are suffering with symptoms of post COVID complications and another App will be used by the investigators to monitor these symptoms and provides an access to post the advises pertaining to the patient's health condition. The biggest challenge is with patients suffering from conditions like hypertension, diabetes and other chronic illness which can be fatal if not monitored and addressed, specially for the elderly to frequently visit the hospital just for monitoring. The prime objective of the app developed in this work is to provide monitoring and to prevent post COVID complications and save the life of patients who have recovered from COVID and already have underlying issues. These apps allow researchers/Doctors to contact the patients personally to counsel them against the symptoms they are experiencing. Both these apps were tested in Android 8 Oreo and are functional in Android 8 Oreo, Android 9 Pie, Android 10, and Android 11 supported devices. These applications will soon be deployed in the Play Store.
{"title":"Development of an Android Application for Tracking Post COVID Symptoms","authors":"Siddharth Sameer, Jayshree Pande, S. Devi","doi":"10.1109/ICAIS56108.2023.10073752","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073752","url":null,"abstract":"Patients with COVID-19 generally recover within a fortnight or a month. However, some patients, even those with milder types of the disease, experience symptoms after they have recovered. Symptoms of COVID-19 might continue for months at a time. The virus affects the heart, brain, and lungs, perhaps leading to long-term health-related problems. Thus, it is critical to keep track of any post-COVID symptoms to prevent further complications. Keeping that in focus, two apps are created to monitor these symptoms in people who have recovered from COVID 19 with comorbidities includes Diabetes, coronary artery diseases and hypertension. In this project, the patient's data was obtained from selected hospitals in Pune, and stored in Google Firebase. This data was used while making the backend algorithms for the apps. Android Studio and Figma were used to design and develop these apps. One app will be used by the patients, which allows them to post their health conditions if they are suffering with symptoms of post COVID complications and another App will be used by the investigators to monitor these symptoms and provides an access to post the advises pertaining to the patient's health condition. The biggest challenge is with patients suffering from conditions like hypertension, diabetes and other chronic illness which can be fatal if not monitored and addressed, specially for the elderly to frequently visit the hospital just for monitoring. The prime objective of the app developed in this work is to provide monitoring and to prevent post COVID complications and save the life of patients who have recovered from COVID and already have underlying issues. These apps allow researchers/Doctors to contact the patients personally to counsel them against the symptoms they are experiencing. Both these apps were tested in Android 8 Oreo and are functional in Android 8 Oreo, Android 9 Pie, Android 10, and Android 11 supported devices. These applications will soon be deployed in the Play Store.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126360810","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-02DOI: 10.1109/ICAIS56108.2023.10073707
Nova Mannam, Khaleel Ahmed Shaik, Kolli Pranitha, M. B. Sri, Nanda Praveen Vemulapalli
Water is the most important natural resource that every living creature needs. The amount of water is pretty less than required. Some people are not able to get the sufficient amount of water. This is because of leakages in the water supply pipelines. This project mainly focuses on the domestic supply of water. In this project, the system consists of water sensors to detect leakage in the pipelines and these sensors will be kept at all the possible leak occurring places; when there is a leakage in a spot, it will automatically stop the flow of the water through that region by blocking the water with the help of a solenoid valve. Since, the aim is to use it for domestic purposes, it is possible to monitor the amount of water in the storage tank with the help of an ultrasonic sensor, also it is possible to turn the water pump on automatically.
{"title":"Arduino based Smart Water Management System for Water Loss Reduction","authors":"Nova Mannam, Khaleel Ahmed Shaik, Kolli Pranitha, M. B. Sri, Nanda Praveen Vemulapalli","doi":"10.1109/ICAIS56108.2023.10073707","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073707","url":null,"abstract":"Water is the most important natural resource that every living creature needs. The amount of water is pretty less than required. Some people are not able to get the sufficient amount of water. This is because of leakages in the water supply pipelines. This project mainly focuses on the domestic supply of water. In this project, the system consists of water sensors to detect leakage in the pipelines and these sensors will be kept at all the possible leak occurring places; when there is a leakage in a spot, it will automatically stop the flow of the water through that region by blocking the water with the help of a solenoid valve. Since, the aim is to use it for domestic purposes, it is possible to monitor the amount of water in the storage tank with the help of an ultrasonic sensor, also it is possible to turn the water pump on automatically.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122259415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-02DOI: 10.1109/ICAIS56108.2023.10073755
Kandasamy V, Mohit Kumar R, Nikil Venkatesh K, Harshith S
All people around the world requires to move from one place to another for their daily needs. To overcome this requirement conventional vehicles were developed. These vehicles run only by the means of fossil fuels such as petrol, diesel, gas etc. By consuming these fuels, they will exhaust CO2 as their biproduct which causes global warming, release of greenhouse gas and other harmful effects. This leads to the invention of the Electric Vehicles (EV). This E-vehicles consumes only the electricity to run, and it does not require any lubricants and fuels. The main drawback of the Electric vehicles is the running time is limited due to the less amount of range in a charge. Electric vehicle charging stations are fewer compared to the petrol/diesel bunk at present. One of the main challenges for the electric vehicle is charging their vehicles in the charging stations and it involves added construction cost and requires lots of space while constructing a charging station for an individual battery voltage type. In a rare case if an Electric vehicle charging station is spotted, it may not be available for the all the type of electric vehicle models, it might vary according to the company models availability. This leads the driver to look for other charging station or upcoming charging station and there is huge demand on the particular or selective charging station. To overcome this situation, this study has built a prototype to enhance all the electric vehicle two-wheelers to charge their vehicles in a single charging station. The proposed model can charge the two-wheelers, which has their input voltages as 52V, 60V, 72V volts. These three voltages are selected based on the trending Electric Vehicles (EVs). 52V represent the Ather 450x model, 60V represent the TVS Iqube model, and 72V represent the Hero Photon model. To develop a feasible solution, this study has used the multi tap changing transformer to control these three-output voltage to the vehicle, which can be easily charged. Further, this study has created a mobile application to check the battery status and display the battery percentage while charging and time left for charging. This application can change the required input voltage at the time of charging. In addition to, this research work has implemented a special feature, which is auto cut off, which shutdowns the supply when the vehicles battery is fully charged. This avoids the critical situation of bursting of batteries when they are overloaded. This special feature is a feather in hat in our prototype. There are many advantages in using this type of charging station like charging the electric vehicle batteries, which contain different voltages such as 52, 60, 72 Volts, auto cut-off process is implemented and mobile application is used to switch the required voltages. The only demerit while using this system is the proposed model cannot be able to charge more than one vehicle at a time.
{"title":"Design and Implementation of Common EV Charging Station","authors":"Kandasamy V, Mohit Kumar R, Nikil Venkatesh K, Harshith S","doi":"10.1109/ICAIS56108.2023.10073755","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073755","url":null,"abstract":"All people around the world requires to move from one place to another for their daily needs. To overcome this requirement conventional vehicles were developed. These vehicles run only by the means of fossil fuels such as petrol, diesel, gas etc. By consuming these fuels, they will exhaust CO2 as their biproduct which causes global warming, release of greenhouse gas and other harmful effects. This leads to the invention of the Electric Vehicles (EV). This E-vehicles consumes only the electricity to run, and it does not require any lubricants and fuels. The main drawback of the Electric vehicles is the running time is limited due to the less amount of range in a charge. Electric vehicle charging stations are fewer compared to the petrol/diesel bunk at present. One of the main challenges for the electric vehicle is charging their vehicles in the charging stations and it involves added construction cost and requires lots of space while constructing a charging station for an individual battery voltage type. In a rare case if an Electric vehicle charging station is spotted, it may not be available for the all the type of electric vehicle models, it might vary according to the company models availability. This leads the driver to look for other charging station or upcoming charging station and there is huge demand on the particular or selective charging station. To overcome this situation, this study has built a prototype to enhance all the electric vehicle two-wheelers to charge their vehicles in a single charging station. The proposed model can charge the two-wheelers, which has their input voltages as 52V, 60V, 72V volts. These three voltages are selected based on the trending Electric Vehicles (EVs). 52V represent the Ather 450x model, 60V represent the TVS Iqube model, and 72V represent the Hero Photon model. To develop a feasible solution, this study has used the multi tap changing transformer to control these three-output voltage to the vehicle, which can be easily charged. Further, this study has created a mobile application to check the battery status and display the battery percentage while charging and time left for charging. This application can change the required input voltage at the time of charging. In addition to, this research work has implemented a special feature, which is auto cut off, which shutdowns the supply when the vehicles battery is fully charged. This avoids the critical situation of bursting of batteries when they are overloaded. This special feature is a feather in hat in our prototype. There are many advantages in using this type of charging station like charging the electric vehicle batteries, which contain different voltages such as 52, 60, 72 Volts, auto cut-off process is implemented and mobile application is used to switch the required voltages. The only demerit while using this system is the proposed model cannot be able to charge more than one vehicle at a time.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120938882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-02DOI: 10.1109/ICAIS56108.2023.10073703
Vikas Pogadadanda, Shafeullah Shaik, Gogula Venkata Sai Neeraj, Hima Varshini Siralam, Iwin Thanakumar Joseph S, K. B. V. B. Rao
Utilizing surveillance cameras to monitor public behaviour has become more important recently for public safety at various sites due to a rise in crimes. Maintaining safety and security has become a survival issue for people due to rising crime rates. With the advancement of security cameras, they now serve as a constant watch on public behavior. Many current surveillance systems require a human operator to continuously monitor them since the amount of video data is increasing daily, making them ineffective. To automatically identify odd behaviour in both public and private places, modern surveillance systems must be intelligent. In current decade, due to industrial 4.0 revolution, machine learning and deep learning based intelligent algorithms plays major role in providing efficient performance in various applications exclusively over automatic detection and identification. This research article mainly focuses on investigation of different intelligent algorithms used for an effective recognition of abnormal activity through surveillance, its major advantages, challenges and contributions in terms of various applications.
{"title":"Abnormal Activity Recognition on Surveillance: A Review","authors":"Vikas Pogadadanda, Shafeullah Shaik, Gogula Venkata Sai Neeraj, Hima Varshini Siralam, Iwin Thanakumar Joseph S, K. B. V. B. Rao","doi":"10.1109/ICAIS56108.2023.10073703","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073703","url":null,"abstract":"Utilizing surveillance cameras to monitor public behaviour has become more important recently for public safety at various sites due to a rise in crimes. Maintaining safety and security has become a survival issue for people due to rising crime rates. With the advancement of security cameras, they now serve as a constant watch on public behavior. Many current surveillance systems require a human operator to continuously monitor them since the amount of video data is increasing daily, making them ineffective. To automatically identify odd behaviour in both public and private places, modern surveillance systems must be intelligent. In current decade, due to industrial 4.0 revolution, machine learning and deep learning based intelligent algorithms plays major role in providing efficient performance in various applications exclusively over automatic detection and identification. This research article mainly focuses on investigation of different intelligent algorithms used for an effective recognition of abnormal activity through surveillance, its major advantages, challenges and contributions in terms of various applications.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121153846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-02DOI: 10.1109/ICAIS56108.2023.10073847
Ramesh A, M. K, Venugopal E, S. P
People are now keen to monitor home from anywhere in the world. Communicating the monitoring information immediately to the user has always been a difficult task. The emerging technological advances helps to tackle this challenge. The Internet serves as a platform to ease the monitoring process by continually communicating the status of household appliances to the users. This study has developed and implemented a novel prototype for kitchen monitoring system. The proposed prototype is composed of sensors, processing device, and an android application. Here, the monitoring process has been carried out virtually via a mobile application. In addition to, the software tools significantly accelerate the process of prototype development.
{"title":"Home Monitoring System using Internet of Things","authors":"Ramesh A, M. K, Venugopal E, S. P","doi":"10.1109/ICAIS56108.2023.10073847","DOIUrl":"https://doi.org/10.1109/ICAIS56108.2023.10073847","url":null,"abstract":"People are now keen to monitor home from anywhere in the world. Communicating the monitoring information immediately to the user has always been a difficult task. The emerging technological advances helps to tackle this challenge. The Internet serves as a platform to ease the monitoring process by continually communicating the status of household appliances to the users. This study has developed and implemented a novel prototype for kitchen monitoring system. The proposed prototype is composed of sensors, processing device, and an android application. Here, the monitoring process has been carried out virtually via a mobile application. In addition to, the software tools significantly accelerate the process of prototype development.","PeriodicalId":164345,"journal":{"name":"2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)","volume":"306 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116274122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-02-02DOI: 10.1109/ICAIS56108.2023.10073766
M. Amirthalingam, R. Ponnusamy
Wireless capsule endoscopy (WCE) allows physicians to observe the digestive tract without doing surgery, at the cost of a huge volume of images should be analysed. The analysis and interpretation of WCE images will be a complicated task which needs computer aided decision (CAD) mechanism for assisting medical practitioner with the video screening and, lastly, with the diagnosis. Manual examination of WCE is a time taking process and can be benefitted from automatic detection by utilizing artificial intelligence (AI). Deep learning was a new method related to neural network. WCE was the criterion standard to identify small-bowel diseases. In this context, this study formulates an Improved Water Strider Optimization with Deep Learning Based Image Classification (IWSO-DLIC) for WCE. The presented IWSO-DLIC technique examines the WCE images for the identification of diseases. For image pre-processing, the IWSO-DLIC technique uses Wiener filtering (WF) approach. In addition, the IWSO-DLIC technique employs MobileNet feature extractor, and the hyperparameter tuning process takes place via the IWSO algorithm. Moreover, the IWSO algorithm is designed by the combination of oppositional based learning (OBL) concept with standard WSO algorithm. Finally, to classify WCE images, long short-term memory (LSTM) model is employed in this study. To demonstrate the enhanced performance of the IWSO-DLIC model, a series of simulations were performed. The simulation values stated the enhanced performance of the IWSO-DLIC technique over other recent models.
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