5 Reasons For Automotive Industry To Adopt IoT Technology
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IoT technology is a buzzword across all global sectors, in which the automotive industry has made great use of it to enable smart driving and maintenance features. Read this infographic for more information. or visit us https://cloudstakes.com/
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IoT In Transportation Evolution_ Advancements In Autonomous Vehicles.pdf
Explore the evolution of IoT in transportation and recent advancements in autonomous vehicles. Discover the benefits of IoT-enabled autonomous vehicles in smart cities.
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VEHICLE COLLISION DETECTION & PREVENTION USING VANET BASED IOT WITH V2V
EMERGENCY alert in case of any accident is vitally necessitated to rescue the victims. And so, this paper is made to present the results of a major analysis relating to emergency alert conditions at the time of collision (automobile). In this study, the authors have investigated modern Internet of Things (IoT) and VANET (Vehicular Ad hoc Networks) technologies and developed a collection of modern and specialized techniques as well as their characteristics. It has sensors that detect unbalanced circumstances and provide with a warning to the microcontroller if a collision occurs.
Vehicle Collision Detection & Prevention using VANET Based IoT With V2V
EMERGENCY alert in case of any accident is vitally necessitated to rescue the victims. And so, this paper is made to present the results of a major analysis relating to emergency alert conditions at the time of collision (automobile). In this study, the authors have investigated modern Internet of Things (IoT) and VANET (Vehicular Ad hoc Networks) technologies and developed a collection of modern and specialized techniques as well as their characteristics. It has sensors that detect unbalanced circumstances and provide with a warning to the microcontroller if a collision occurs. Additionally, the technique can be implemented in such a way that vehicles are alerted of possible closing barriers. Vehicle-to-Vehicle communication (V2V) has a huge impact since it allows vehicles to communicate with each other while in proximity and the buzzer together with the LEDs serves as a safety feature. The primary goal of the system is to carry out the microcontroller functions in every environment and moreover, the concept refers to detect and prevent the collision specially in a foggy weather as well as at night and in other odd circumstances. The Internet of Things (IoT) and the Vehicular Ad-Hoc Network (VANET) have now been merged as the fundamental and central components of Intelligent Transportation System (ITS). Furthermore, while the procedure of obtaining the insurance may be longer for certain people. On the other hand, others may avoid the law after being involved in severe collisions which makes it difficult for the authorities to discriminate between criminal and non-criminal evidence.
Blog for iot automotive final
IoT is being used in both commercial and consumer applications in the automotive sector. A significant share of IoT use cases focus on connected and autonomous vehicles as well as managing vehicle fleets through real-time maintenance and plant management. Leading IoT suppliers in automotive include Thingworks, Cisco, Intel, and others who provide various IoT products and focus on areas like automation, autonomous transportation, and factory operations. IoT applications have created new opportunities for vehicle OEMs, fleet operators, and others in the automotive ecosystem.
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Artificial intelligence can be used to improve transportation safety through developing regulations for AI systems, motion tracking of passengers, and decision support tools for dispatchers. Robotics are already used in vehicle manufacturing and maintenance and their use could be expanded. The Internet of Things will drive major changes in transportation by enabling connected infrastructure and smart vehicles that can communicate to improve safety through features like assisted driving and preventing collisions using real-time information about vehicle locations.
IoT in Transportation Sector
IOT in transportation can improve passenger experiences, safety, and efficiency. IOT connects physical devices like vehicles, infrastructure, and mobile devices to the internet. This allows transportation systems to gather more data which can transform industries by improving traveler experiences, smart road management, parking, safety monitoring, and more. Key applications of IOT in transportation include fleet management, public transit management, smart inventory, asset utilization tracking, and geo-fencing. IOT connectivity in vehicles and infrastructure will change transportation by allowing vehicle-to-vehicle communication and connection to infrastructure for improved navigation, remote access features, and traffic optimization.
ARDUINO BASED CAR PARKING SYSTEM USING WOKWI SIMULATOR
The document describes a proposed Arduino-based smart parking system using IoT technologies. It would use ultrasonic sensors connected to Arduino microcontrollers to detect available parking spaces. The Arduino devices would send this parking availability data via wireless communication to a central server. Users could access real-time parking space information through a mobile app or web interface. The system aims to improve parking management and efficiency by optimizing space usage and reducing congestion compared to traditional methods.
IoT applications for connected vehicle and ITS
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Read More: https://www.nevinainfotech.com/blog/iot-in-transportation/
VEHICLE COLLISION DETECTION & PREVENTION USING VANET BASED IOT WITH V2V
EMERGENCY alert in case of any accident is vitally necessitated to rescue the victims. And so, this paper is made to present the results of a major analysis relating to emergency alert conditions at the time of collision (automobile). In this study, the authors have investigated modern Internet of Things (IoT) and VANET (Vehicular Ad hoc Networks) technologies and developed a collection of modern and specialized techniques as well as their characteristics. It has sensors that detect unbalanced circumstances and provide with a warning to the microcontroller if a collision occurs.
Vehicle Collision Detection & Prevention using VANET Based IoT With V2V
EMERGENCY alert in case of any accident is vitally necessitated to rescue the victims. And so, this paper is made to present the results of a major analysis relating to emergency alert conditions at the time of collision (automobile). In this study, the authors have investigated modern Internet of Things (IoT) and VANET (Vehicular Ad hoc Networks) technologies and developed a collection of modern and specialized techniques as well as their characteristics. It has sensors that detect unbalanced circumstances and provide with a warning to the microcontroller if a collision occurs. Additionally, the technique can be implemented in such a way that vehicles are alerted of possible closing barriers. Vehicle-to-Vehicle communication (V2V) has a huge impact since it allows vehicles to communicate with each other while in proximity and the buzzer together with the LEDs serves as a safety feature. The primary goal of the system is to carry out the microcontroller functions in every environment and moreover, the concept refers to detect and prevent the collision specially in a foggy weather as well as at night and in other odd circumstances. The Internet of Things (IoT) and the Vehicular Ad-Hoc Network (VANET) have now been merged as the fundamental and central components of Intelligent Transportation System (ITS). Furthermore, while the procedure of obtaining the insurance may be longer for certain people. On the other hand, others may avoid the law after being involved in severe collisions which makes it difficult for the authorities to discriminate between criminal and non-criminal evidence.
Blog for iot automotive final
IoT is being used in both commercial and consumer applications in the automotive sector. A significant share of IoT use cases focus on connected and autonomous vehicles as well as managing vehicle fleets through real-time maintenance and plant management. Leading IoT suppliers in automotive include Thingworks, Cisco, Intel, and others who provide various IoT products and focus on areas like automation, autonomous transportation, and factory operations. IoT applications have created new opportunities for vehicle OEMs, fleet operators, and others in the automotive ecosystem.
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Artificial intelligence can be used to improve transportation safety through developing regulations for AI systems, motion tracking of passengers, and decision support tools for dispatchers. Robotics are already used in vehicle manufacturing and maintenance and their use could be expanded. The Internet of Things will drive major changes in transportation by enabling connected infrastructure and smart vehicles that can communicate to improve safety through features like assisted driving and preventing collisions using real-time information about vehicle locations.
IoT in Transportation Sector
IOT in transportation can improve passenger experiences, safety, and efficiency. IOT connects physical devices like vehicles, infrastructure, and mobile devices to the internet. This allows transportation systems to gather more data which can transform industries by improving traveler experiences, smart road management, parking, safety monitoring, and more. Key applications of IOT in transportation include fleet management, public transit management, smart inventory, asset utilization tracking, and geo-fencing. IOT connectivity in vehicles and infrastructure will change transportation by allowing vehicle-to-vehicle communication and connection to infrastructure for improved navigation, remote access features, and traffic optimization.
ARDUINO BASED CAR PARKING SYSTEM USING WOKWI SIMULATOR
The document describes a proposed Arduino-based smart parking system using IoT technologies. It would use ultrasonic sensors connected to Arduino microcontrollers to detect available parking spaces. The Arduino devices would send this parking availability data via wireless communication to a central server. Users could access real-time parking space information through a mobile app or web interface. The system aims to improve parking management and efficiency by optimizing space usage and reducing congestion compared to traditional methods.
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DEVELOPMENT OF EV VEHICLE BY FUSION OF AI AND FOLLOW ME, FOR HUMAN DETECTION AT THE TIME OF EMERGENCY EV VEHICLE ppt
IoT Connected Car Insights from Patents
Patents are a good information resource for obtaining IoT (Internet of Things) technology development status. Followings illustrate some examples of patents that provide current status of the IoT connected car technology development: safety/collision avoidance, traffic information for smart driving, connected car security, infotainment and self-driving car monitoring.
Leaflet ingenious
INGENIOUS aims to design and evaluate the Next-Generation IoT (NG-IoT) solution, with emphasis on 5G and the development of Edge and Cloud computing extensions for IoT, as well as providing smart networking and data management solutions with Artificial Intelligence and Machine Learning (AI/ML). The project embraces the 5G Infrastructure Association (5G IA) and Alliance for Internet of Things Innovation (AIOTI) vision for empowering smart manufacturing and smart mobility verticals.
MODULE 1.pdf
The document discusses the concepts of the Internet of Things (IoT). It defines IoT as connecting physical objects to the internet to communicate data and interact. The basic goal of IoT is to connect unconnected objects to improve efficiency and automation. Some key points discussed include:
- The genesis of IoT starting in 2008-2009 with Kevin Ashton coining the term.
- Examples of IoT applications including connected roadways using sensors in vehicles, connected factories using real-time tracking of production, and smart connected buildings using sensors to optimize HVAC and lighting.
- Convergence of IT and OT bringing together operational technology networks that monitor physical systems with traditional IT networks and data systems.
Concept of internet of vehicles
The document discusses the concept of the Internet of Vehicles (IoV), which connects vehicles through vehicle-to-vehicle communication networks. It describes how IoV relates to the broader Internet of Things by allowing vehicles to exchange information. Examples of IoV applications include early warning systems, detour applications, social media portals for vehicle owners, and using collected data for transportation analysis. The document outlines future areas of work with IoV including content sharing between vehicles, sensor data collection, intelligent transportation routing, and increased vehicle autonomy through technologies like platoons.
Intelligent Vehicular Safety System: A Novel Approach using IoT and CNN for A...
This document describes an intelligent vehicular safety system that uses IoT and convolutional neural networks (CNNs) for accident detection and rapid rescue. The system incorporates an MQ3 alcohol sensor to detect alcohol in a driver's system, an SW-420 vibration sensor to detect collisions, and uses the vehicle's front camera and CNN models to identify accidents in images. When an accident is detected, the vehicle's GPS location is sent via GSM to alert the nearest emergency services. If a driver is impaired, an alert is sent to emergency contacts. The system also monitors vehicle speed and alerts contacts if the speed limit is exceeded. The goal is to detect accidents quickly and facilitate rapid rescue to reduce accident fatalities.
Connected Cars Quickly Becoming Part of the Internet of Things (IoT)
The document discusses connected cars and their role in the Internet of Things (IoT). Key points include:
- Connected cars rely on external connectivity for autonomous driving features but many drivers still prefer having control, so there will be a hybrid model with both driver control and autonomous features for some time.
- Connecting cars to the Internet introduces new security challenges and potential hacks as vehicles have wireless access points for connectivity. Proper security measures need to be implemented.
- As connectivity in cars increases, it enables new digital media and services for drivers and passengers but the wireless links need sufficient bandwidth to ensure a good consumer experience. Standards are being developed to handle high quality audio/video streaming in connected vehicles.
IRJET- Smart Travel Automated Vehicle
1. The document describes a prototype for a smart travel automated vehicle (STAV) that uses sensors and a Raspberry Pi microcontroller to drive autonomously.
2. The STAV is designed to detect obstacles using ultrasonic sensors, identify traffic signs using computer vision, and send alerts to contacts if an accident occurs using GPS.
3. Features of the STAV include automated driving, fast response times through algorithms, traffic sign detection, obstacle avoidance, accident alerts, and automated headlights based on time of day.
IoT Monitor Traffic: Unveiling a Smarter Approach to Monitoring Traffic
The developing number of traffic jams as well as car mischances has turned into an issue. It has been demonstrated that tending to these issues may be fulfilled by joining innovation that’s based on the IoT Monitor Traffic. The Web of Things may progress the stream of activity on roadways, as well as keep individuals secure through the utilization of activity control gadgets, information investigation, and real-time communication. In this article, we’ll talk about the importance of the Web of Things (IoT) for the observing of activity, as well as its focal points, applications, and part in deciding the long run of activity.
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In recent years usage of private vehicles create urban traffic more and more crowded. As result traffic becomes one of the important problems in big cities in all over the world. Some of the traffic concerns are traffic jam and accidents which have caused a huge waste of time, more fuel consumption and more pollution. Time is very important parameter in routine life. The main problem faced by the people is real time routing. Our solution Virtual Eye will provide the current updates as in the real time scenario of the specific route. This research paper presents smart traffic navigation system, based on Internet of Things, which is featured by low cost, high compatibility, easy to upgrade, to replace traditional traffic management system and the proposed system can improve road traffic tremendously.
Intelligent Parking System
Right now economy, the number of vehicle user’s increments exponentially requesting all the more parking spots. Inescapable nearness of advanced cell urges users to lean toward mobile application based arrangements. The development of IoT has cleared the path for the incorporation of cell phones, remote correspondence advancements, and portable applications. internet of Things IoT assumes an indispensable job in interfacing the encompassing ecological things to the system and made simple to get to those un internet things from any remote area. Its unavoidable for the individuals to refresh with the developing technology. Also, for the most part, individuals are confronting issues on leaving vehicles in leaving spaces in a city. Lately, the idea of shrewd urban communities has picked up grind prevalence. On account of the development of the Internet of things savvy city currently is by all accounts attainable. Predictable endeavors are being made in the field of IoT so as to augment the efficiency and unwavering quality of the urban framework. Issues, for example, traffic clog, a restricted vehicle leaving offices and street security are being tended to by IoT. Right now, present an IoT based cloud incorporated shrewd stopping framework. The proposed Intelligent Parking framework comprises of an on location sending of an IoT module that is utilized to screen and signalize the condition of accessibility of each single parking spot. A versatile application is likewise given that permits an end client to check the accessibility of parking spots and book a stopping space as needs are. The paper likewise depicts an elevated level perspective on framework engineering. Towards the end, the paper talks about the working of the framework in the type of a utilization case that demonstrates the rightness of the proposed model. Abhinav Anand Singh "Intelligent Parking System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30452.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/30452/intelligent-parking-system/abhinav-anand-singh
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Artificial Intelligence and Machine Learning algorithms have increasingly become an integral part of several industries. Now they are making their way to smart city initiatives, intending to automate and advance municipal activities and operations at large.
A smart city has various use cases for AI-driven and IoT-enabled technology, from maintaining a healthier environment to advancing public transport and safety.
By leveraging AI and machine learning algorithms, along with IoT, a city can plan for better smart traffic solutions making sure that inhabitants get from one point to another as safely and efficiently as possible.
IoT Solution To Regulate Vehicular Traffic
In this presentation, Swetha presents an innovative solution that aims to solve traffic problems in the country. Her solution uses sensors to collect information and relay the information to users over a mobile app.
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This document summarizes research on using an automobile black box system to analyze vehicle accidents. It proposes using sensors like temperature, humidity, and gas sensors mounted on a Raspberry Pi 3 to continuously monitor vehicle and driver conditions. Video and location data would also be collected from external cameras and GPS. All sensor data would be stored on an SD card for retrieval after an accident occurs. The goal is to analyze accidents more accurately by objectively recording what happened leading up to the accident. This could help prevent future accidents by identifying risky driver behaviors from the collected data.
Internet of vehicle
The document discusses Internet of Vehicles (IoV) and provides information on the group members working on the project. It describes how IoV evolves from Internet of Things and Vehicular Ad-Hoc Networks to connect vehicles to each other and infrastructure. The document outlines the communication architectures and types of vehicular communication in IoV. It also discusses the layered architecture and protocol stack of IoV as well as challenges and the future potential of IoV.
What are the current scenarios of traffic signal monitoring system?
A Traffic signal monitoring system assumes a fundamental part in the administration of metropolitan traffic, mostly in the profoundly populated metropolitan locales.
Get in Touch:
Location: Manufactured By STC, Inc. 1201 W. Randolph St, McLeansboro, IL 62859
Phone: Richard D’Alessandro: (214) 607–0100
Fax: (214) 607–0105
Email: info@emtracsystems.com
Web: www.emtracsystems.com/
Smart Cities. Brad Coughlan. AWS
The document discusses smart cities and how AWS IoT can help enable smart city applications and use cases. It provides examples of how various cities and organizations are using AWS IoT and related services for applications like traffic management, transportation, utilities, public safety, and more. It also summarizes some of the key AWS IoT services like the Rules Engine, device shadows, SDKs, and the device gateway.
DOC-20230205-WA0000.-1.pptx
This document proposes an IoT-based vehicle accident monitoring and control system. The system uses a PIC microcontroller and sensors to detect vehicle accidents through vibrations. When an accident is detected, the system will send GPS location data to IoT to alert hospitals and relatives. A reset button allows the driver to cancel the alert for minor accidents. The aim is to quickly provide accident information and location to facilitate emergency response.
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IoT Connected Car Insights from Patents
Patents are a good information resource for obtaining IoT (Internet of Things) technology development status. Followings illustrate some examples of patents that provide current status of the IoT connected car technology development: safety/collision avoidance, traffic information for smart driving, connected car security, infotainment and self-driving car monitoring.
Leaflet ingenious
INGENIOUS aims to design and evaluate the Next-Generation IoT (NG-IoT) solution, with emphasis on 5G and the development of Edge and Cloud computing extensions for IoT, as well as providing smart networking and data management solutions with Artificial Intelligence and Machine Learning (AI/ML). The project embraces the 5G Infrastructure Association (5G IA) and Alliance for Internet of Things Innovation (AIOTI) vision for empowering smart manufacturing and smart mobility verticals.
MODULE 1.pdf
The document discusses the concepts of the Internet of Things (IoT). It defines IoT as connecting physical objects to the internet to communicate data and interact. The basic goal of IoT is to connect unconnected objects to improve efficiency and automation. Some key points discussed include:
- The genesis of IoT starting in 2008-2009 with Kevin Ashton coining the term.
- Examples of IoT applications including connected roadways using sensors in vehicles, connected factories using real-time tracking of production, and smart connected buildings using sensors to optimize HVAC and lighting.
- Convergence of IT and OT bringing together operational technology networks that monitor physical systems with traditional IT networks and data systems.
Concept of internet of vehicles
The document discusses the concept of the Internet of Vehicles (IoV), which connects vehicles through vehicle-to-vehicle communication networks. It describes how IoV relates to the broader Internet of Things by allowing vehicles to exchange information. Examples of IoV applications include early warning systems, detour applications, social media portals for vehicle owners, and using collected data for transportation analysis. The document outlines future areas of work with IoV including content sharing between vehicles, sensor data collection, intelligent transportation routing, and increased vehicle autonomy through technologies like platoons.
Intelligent Vehicular Safety System: A Novel Approach using IoT and CNN for A...
This document describes an intelligent vehicular safety system that uses IoT and convolutional neural networks (CNNs) for accident detection and rapid rescue. The system incorporates an MQ3 alcohol sensor to detect alcohol in a driver's system, an SW-420 vibration sensor to detect collisions, and uses the vehicle's front camera and CNN models to identify accidents in images. When an accident is detected, the vehicle's GPS location is sent via GSM to alert the nearest emergency services. If a driver is impaired, an alert is sent to emergency contacts. The system also monitors vehicle speed and alerts contacts if the speed limit is exceeded. The goal is to detect accidents quickly and facilitate rapid rescue to reduce accident fatalities.
Connected Cars Quickly Becoming Part of the Internet of Things (IoT)
The document discusses connected cars and their role in the Internet of Things (IoT). Key points include:
- Connected cars rely on external connectivity for autonomous driving features but many drivers still prefer having control, so there will be a hybrid model with both driver control and autonomous features for some time.
- Connecting cars to the Internet introduces new security challenges and potential hacks as vehicles have wireless access points for connectivity. Proper security measures need to be implemented.
- As connectivity in cars increases, it enables new digital media and services for drivers and passengers but the wireless links need sufficient bandwidth to ensure a good consumer experience. Standards are being developed to handle high quality audio/video streaming in connected vehicles.
IRJET- Smart Travel Automated Vehicle
1. The document describes a prototype for a smart travel automated vehicle (STAV) that uses sensors and a Raspberry Pi microcontroller to drive autonomously.
2. The STAV is designed to detect obstacles using ultrasonic sensors, identify traffic signs using computer vision, and send alerts to contacts if an accident occurs using GPS.
3. Features of the STAV include automated driving, fast response times through algorithms, traffic sign detection, obstacle avoidance, accident alerts, and automated headlights based on time of day.
IoT Monitor Traffic: Unveiling a Smarter Approach to Monitoring Traffic
The developing number of traffic jams as well as car mischances has turned into an issue. It has been demonstrated that tending to these issues may be fulfilled by joining innovation that’s based on the IoT Monitor Traffic. The Web of Things may progress the stream of activity on roadways, as well as keep individuals secure through the utilization of activity control gadgets, information investigation, and real-time communication. In this article, we’ll talk about the importance of the Web of Things (IoT) for the observing of activity, as well as its focal points, applications, and part in deciding the long run of activity.
Top 10 automotive industry trends and technologies to look for in 2021
Find out about the emerging automotive industry trends in 2021 and propel your business with futuristic goals that aid customer satisfaction.
Virtual Eye - Smart Traffic Navigation System
In recent years usage of private vehicles create urban traffic more and more crowded. As result traffic becomes one of the important problems in big cities in all over the world. Some of the traffic concerns are traffic jam and accidents which have caused a huge waste of time, more fuel consumption and more pollution. Time is very important parameter in routine life. The main problem faced by the people is real time routing. Our solution Virtual Eye will provide the current updates as in the real time scenario of the specific route. This research paper presents smart traffic navigation system, based on Internet of Things, which is featured by low cost, high compatibility, easy to upgrade, to replace traditional traffic management system and the proposed system can improve road traffic tremendously.
Intelligent Parking System
Right now economy, the number of vehicle user’s increments exponentially requesting all the more parking spots. Inescapable nearness of advanced cell urges users to lean toward mobile application based arrangements. The development of IoT has cleared the path for the incorporation of cell phones, remote correspondence advancements, and portable applications. internet of Things IoT assumes an indispensable job in interfacing the encompassing ecological things to the system and made simple to get to those un internet things from any remote area. Its unavoidable for the individuals to refresh with the developing technology. Also, for the most part, individuals are confronting issues on leaving vehicles in leaving spaces in a city. Lately, the idea of shrewd urban communities has picked up grind prevalence. On account of the development of the Internet of things savvy city currently is by all accounts attainable. Predictable endeavors are being made in the field of IoT so as to augment the efficiency and unwavering quality of the urban framework. Issues, for example, traffic clog, a restricted vehicle leaving offices and street security are being tended to by IoT. Right now, present an IoT based cloud incorporated shrewd stopping framework. The proposed Intelligent Parking framework comprises of an on location sending of an IoT module that is utilized to screen and signalize the condition of accessibility of each single parking spot. A versatile application is likewise given that permits an end client to check the accessibility of parking spots and book a stopping space as needs are. The paper likewise depicts an elevated level perspective on framework engineering. Towards the end, the paper talks about the working of the framework in the type of a utilization case that demonstrates the rightness of the proposed model. Abhinav Anand Singh "Intelligent Parking System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30452.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/30452/intelligent-parking-system/abhinav-anand-singh
What AI and Machine Learning Can Do for a Smart City
Artificial Intelligence and Machine Learning algorithms have increasingly become an integral part of several industries. Now they are making their way to smart city initiatives, intending to automate and advance municipal activities and operations at large.
A smart city has various use cases for AI-driven and IoT-enabled technology, from maintaining a healthier environment to advancing public transport and safety.
By leveraging AI and machine learning algorithms, along with IoT, a city can plan for better smart traffic solutions making sure that inhabitants get from one point to another as safely and efficiently as possible.
IoT Solution To Regulate Vehicular Traffic
In this presentation, Swetha presents an innovative solution that aims to solve traffic problems in the country. Her solution uses sensors to collect information and relay the information to users over a mobile app.
物聯網創新應用：車聯網解決方案 IoT Story of Connected Vehicle Solution(Level 300)
"物聯網創新應用：車聯網解決方案 IoT Story of Connected Vehicle Solution
(Level 300)
講師：Ivan Cheng, Solutions Architect, AWS
客戶分享：Archer Chiu & Thomas Wong, Askey
IRJET - Automobile Black Box System for Vehicle Accident Analysis
This document summarizes research on using an automobile black box system to analyze vehicle accidents. It proposes using sensors like temperature, humidity, and gas sensors mounted on a Raspberry Pi 3 to continuously monitor vehicle and driver conditions. Video and location data would also be collected from external cameras and GPS. All sensor data would be stored on an SD card for retrieval after an accident occurs. The goal is to analyze accidents more accurately by objectively recording what happened leading up to the accident. This could help prevent future accidents by identifying risky driver behaviors from the collected data.
Internet of vehicle
The document discusses Internet of Vehicles (IoV) and provides information on the group members working on the project. It describes how IoV evolves from Internet of Things and Vehicular Ad-Hoc Networks to connect vehicles to each other and infrastructure. The document outlines the communication architectures and types of vehicular communication in IoV. It also discusses the layered architecture and protocol stack of IoV as well as challenges and the future potential of IoV.
What are the current scenarios of traffic signal monitoring system?
A Traffic signal monitoring system assumes a fundamental part in the administration of metropolitan traffic, mostly in the profoundly populated metropolitan locales.
Get in Touch:
Location: Manufactured By STC, Inc. 1201 W. Randolph St, McLeansboro, IL 62859
Phone: Richard D’Alessandro: (214) 607–0100
Fax: (214) 607–0105
Email: info@emtracsystems.com
Web: www.emtracsystems.com/
Smart Cities. Brad Coughlan. AWS
The document discusses smart cities and how AWS IoT can help enable smart city applications and use cases. It provides examples of how various cities and organizations are using AWS IoT and related services for applications like traffic management, transportation, utilities, public safety, and more. It also summarizes some of the key AWS IoT services like the Rules Engine, device shadows, SDKs, and the device gateway.
DOC-20230205-WA0000.-1.pptx
This document proposes an IoT-based vehicle accident monitoring and control system. The system uses a PIC microcontroller and sensors to detect vehicle accidents through vibrations. When an accident is detected, the system will send GPS location data to IoT to alert hospitals and relatives. A reset button allows the driver to cancel the alert for minor accidents. The aim is to quickly provide accident information and location to facilitate emergency response.
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物聯網創新應用：車聯網解決方案 IoT Story of Connected Vehicle Solution(Level 300)
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IRJET - Automobile Black Box System for Vehicle Accident Analysis
IRJET - Automobile Black Box System for Vehicle Accident Analysis
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What are the current scenarios of traffic signal monitoring system?
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The API development process involves steps like identifying the purpose, designing the architecture, implementing the functionality, testing, documenting, and deploying an API. It includes tasks such as defining specifications, choosing technology, ensuring security, and providing support for developers using the API. Visit cloudstakes.com to learn more.
Quality Process Software Testing Stages
Software testing is a crucial part of the software development life cycle (SDLC) and follows a systematic approach to ensure the quality and reliability of the software being developed. The testing process typically involves several stages, each serving a specific purpose. Visit cloudstakes.com to learn more.
Cross-Platform App Development Frameworks
Cross-platform application development frameworks provide a cost-effective and efficient way to develop applications that can reach a wide audience and provide a consistent user experience across multiple platforms. They have become essential tools for modern application development, enabling developers to save time, resources, and effort in maximizing the potential of their applications. Visit cloudstakes.com to learn more.
Characteristics of the Zero Trust Security Model
The zero trust security model is an approach to cybersecurity that challenges the traditional perimeter-based security model, which assumes trust in internal networks and distrust for external networks. It emphasizes strict access controls, continuous authentication, and comprehensive visibility to enhance security. Visit cloudstakes.com for Zero Trust Security Model.
Business Intelligence Process - CloudStakes Technology
A business intelligence process refers to a systematic approach to collecting, analyzing, and interpreting data to generate meaningful insights that support informed decision-making and strategic planning in an organization. For more information visit cloudstakes.com
SharePoint Migration Planning
SharePoint migration planning is an important process that must be carefully planned and executed to ensure a successful migration. It is important to follow the steps outlined above to minimize the risk of data loss and ensure a smooth transition to the new environment. For more information visit cloudstakes.com
Stages of SharePoint Migration
SharePoint migration is the process of moving SharePoint content, configurations, and customizations from one environment to another. Overall, a successful SharePoint migration requires careful planning, preparation, and execution. Visit cloudstakes.com to learn more about the SharePoint migration process.
Pillars of Zero Trust Architecture
Zero Trust Architecture (ZTA) is becoming increasingly important in today's interconnected world, where data breaches and cyberattacks are becoming more frequent and sophisticated. ZTA provides a proactive and adaptive approach to security that helps organizations to protect against the constantly evolving threat landscape.
Elements of Artificial Intelligence
Artificial intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and natural language processing. Visit us at cloudstakes.com to know more about the elements of artificial intelligence.
Potential Applications of 5G and IoT
Smart homes, synced watch-and-phone IoT devices and fitness apps are commonplace. They will grow with the speed and performance capabilities of 5G. With a heavy reliance on mobile IoT on such a grand scale today, in the next 20 years, the 5G future will look completely different.
5 Best Open Source IoT Frameworks
IoT frameworks exist that help you build IoT solutions without developing your own. Some give you a framework to work within. The IoT framework offers you enterprise-level data analysis and control. Choosing the right IoT framework is a key part of the success of your IoT project.
Five Machine Learning Libraries
An ML library is a collection of easy-to-use functions and procedures. A developer's arsenal must have a robust collection of libraries to explore and create sophisticated programs without writing a lot of code. Libraries prevent programmers from repeatedly writing unnecessary code.
Application of AI in eCommerce - CloudStakes Technology
AI is already being used to improve the eCommerce sector in multiple ways from inventory management to customer experience. One example is the improvement of product suggestions on a user’s homepage.
3 Terraform Best Practices for AppOps
Using a Terraform provider to implement AppOps reduces template-related overhead. It enables DevOps to concentrate on security and governance while producing policies quickly. Furthermore, it enables developers to deploy and manage applications without the assistance of a fully-enabled IDP.
6 Pillars of DevSecOps
CloudStakes Six Pillars of DevSecOps series provides specific guidance on how to implement DevSecOps in your organization. Learn more.
4 Benefits of SaaS Solutions
Software as a service (SaaS) is the most commonly used option for businesses in the cloud market. The reason? It’s easily accessible – all you need is an internet connection and a browser – and it’s hands-off. The SaaS delivery model requires vendors to manage all the technical issues – meaning customers don’t need to lean on their in-house IT expertise.
6 Reasons To Use Monitoring Solutions in Data Centres
The expanding size of data centres needs serious attention to ensure its privacy and security. This can be achieved by leveraging an effective monitoring solution. Click on the link to know the importance of monitoring solutions in data centres.
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