Applications of Artificial IntelligenceSarthakNawal1
Artificial intelligence has many applications including in software development, manufacturing, healthcare, space exploration, games, agriculture, automobiles, and finance. Some key uses of AI include taking over automated routines to reduce software development time, enabling predictive analytics and preventative maintenance in manufacturing, aiding diagnosis and performing robotic surgeries in healthcare, defeating world champions at chess and Go for games, enabling precision farming and predictive analytics for agriculture, assessing risk and detecting fraud in finance, and developing autonomous vehicles and self-driving capabilities for automobiles. AI is also used by NASA for autonomous target selection and planetary discovery and by ISRO for its AI-powered humanoid robot.
The document outlines the top 10 technologies in cars, including:
1) Car apps that sync a phone to the vehicle's infotainment system like Android Auto and Apple CarPlay.
2) Adaptive LED headlights that align with steering and follow road curves for safer night driving.
3) Comprehensive vehicle tracking that some insurance companies and governments may use to charge drivers based on miles driven.
The document describes an IoT-based smart car parking system using Raspberry Pi. The system aims to address issues with current manual parking systems like wasted time finding spots. It allows users to book parking spots online, see availability in real-time on a graphical interface, and pay electronically. Sensors detect occupied/empty spots which update the system in real-time. The system is cost-effective, saves user time, and maximizes parking space utilization.
This document discusses driverless cars and the technologies involved. It covers what a driverless car is, the sensors like Mobileye that are used, how the cars plan routes and adapt to changes. It also mentions how automotive control has transitioned to computers over time, making driverless control possible. Some benefits discussed are reducing accidents and saving lives through unmanned vehicles. The DARPA Grand Challenge of 2007 involved driverless cars completing a 96km route in 6 hours while obeying traffic laws.
Xpeng Motors' P7's self-driving roadmap and system design Junli Gu
Public presentation for nvidia gtc 2019. You can also refer to the public recorded video at: https://on-demand.gputechconf.com/gtc/2019/video/_/S91049/
Driverless cars use sensors, navigation systems, motion planning, and actuation to drive autonomously. Sensors like Mobileye provide artificial vision and image processing to detect objects. Navigation systems plot routes and receive updates on road conditions. Motion planning details tasks into discrete vehicle motions to avoid obstacles while executing routes. Computer control of engines and other vehicle functions allows for autonomous actuation based on sensor and navigation inputs.
This document discusses the future of autonomous vehicles and self-driving cars. It outlines 4 phases of autonomous vehicle technology, from basic safety features to fully driverless vehicles. It also discusses the technologies required for autonomous driving like lidar, radar, cameras and GPS. The document covers system integration and architecture challenges, human factors, infrastructure requirements, societal impacts, legal issues, and obstacles to widespread adoption of self-driving cars like software reliability and liability.
Applications of Artificial IntelligenceSarthakNawal1
Artificial intelligence has many applications including in software development, manufacturing, healthcare, space exploration, games, agriculture, automobiles, and finance. Some key uses of AI include taking over automated routines to reduce software development time, enabling predictive analytics and preventative maintenance in manufacturing, aiding diagnosis and performing robotic surgeries in healthcare, defeating world champions at chess and Go for games, enabling precision farming and predictive analytics for agriculture, assessing risk and detecting fraud in finance, and developing autonomous vehicles and self-driving capabilities for automobiles. AI is also used by NASA for autonomous target selection and planetary discovery and by ISRO for its AI-powered humanoid robot.
The document outlines the top 10 technologies in cars, including:
1) Car apps that sync a phone to the vehicle's infotainment system like Android Auto and Apple CarPlay.
2) Adaptive LED headlights that align with steering and follow road curves for safer night driving.
3) Comprehensive vehicle tracking that some insurance companies and governments may use to charge drivers based on miles driven.
The document describes an IoT-based smart car parking system using Raspberry Pi. The system aims to address issues with current manual parking systems like wasted time finding spots. It allows users to book parking spots online, see availability in real-time on a graphical interface, and pay electronically. Sensors detect occupied/empty spots which update the system in real-time. The system is cost-effective, saves user time, and maximizes parking space utilization.
This document discusses driverless cars and the technologies involved. It covers what a driverless car is, the sensors like Mobileye that are used, how the cars plan routes and adapt to changes. It also mentions how automotive control has transitioned to computers over time, making driverless control possible. Some benefits discussed are reducing accidents and saving lives through unmanned vehicles. The DARPA Grand Challenge of 2007 involved driverless cars completing a 96km route in 6 hours while obeying traffic laws.
Xpeng Motors' P7's self-driving roadmap and system design Junli Gu
Public presentation for nvidia gtc 2019. You can also refer to the public recorded video at: https://on-demand.gputechconf.com/gtc/2019/video/_/S91049/
Driverless cars use sensors, navigation systems, motion planning, and actuation to drive autonomously. Sensors like Mobileye provide artificial vision and image processing to detect objects. Navigation systems plot routes and receive updates on road conditions. Motion planning details tasks into discrete vehicle motions to avoid obstacles while executing routes. Computer control of engines and other vehicle functions allows for autonomous actuation based on sensor and navigation inputs.
This document discusses the future of autonomous vehicles and self-driving cars. It outlines 4 phases of autonomous vehicle technology, from basic safety features to fully driverless vehicles. It also discusses the technologies required for autonomous driving like lidar, radar, cameras and GPS. The document covers system integration and architecture challenges, human factors, infrastructure requirements, societal impacts, legal issues, and obstacles to widespread adoption of self-driving cars like software reliability and liability.
In this presentation, Aditya introduces automation and says that this might be the next big thing in India given PM Modi's talk about a digital India. Aditya's interest area lies in Home automation.
Accessible Car Parking System with IoTNurNabilah62
The document discusses the goals and objectives of developing an Accessible Car Parking System using IoT (Internet of Things). The goals are to streamline the car parking system and focus on studying, designing, implementing, testing and evaluating an IoT-based accessible car parking system. Some future improvements suggested are allowing users to reserve parking slots via the system and incorporating payment of parking fees into the system features.
Self-driving: AI evolution and Massive deployment in production carsJunli Gu
1) Xmotors.ai is a Chinese electric vehicle company founded in 2014 that aims to transform driving experiences for young internet users with autonomous driving and intelligent connectivity as its core technologies.
2) The company plans to mass produce its first electric SUV with Level 2.5 self-driving capabilities by the end of 2018, followed by an electric sedan with Level 3 self-driving in 2019 and another electric SUV with Level 3 in 2020.
3) Xmotors.ai sees autonomous driving as one of the most challenging AI applications requiring advances in data, algorithms, and computing hardware, and is focusing on developing its "Data Genome" to power the evolution of its autonomous driving capabilities.
Artificial intelligence in manufacturing is not a future thing, it is a matter of today. We are accustomed to using AI in our daily lives with Apple’s Siri and Amazon’s Echo.
In this presentation, Srija introduces IoT and associated trends. Varsha's interest areas are in soft robotic automation that would improve speed, accuracy,consistency, quality and scalability in production.
14 9245 it design of android based smart car (edit ari)IAESIJEECS
Android smart car is designed with safety in mind. A simple and sensitiveline, included steering wheels and new voice events, this is designed to reduceinterruption so you can stay focused on the highway.This car which can be controlling using an Android APP for smart phones.A car is regularly an electronic mechanic machine that is guide by computer and electronic controlling programming. The innovation of the Smart Car technology to developing based on remote connection using android application can control the car movements. This system use Bluetooth device controller to control the mobile App. This Bluetooth device interface with UART communication. The UART receive the command via the Bluetooth device. This design is may helps to our rural citifies. This system is developing to help to self driving vehicles.
Auto tech is long history, until it has unveiled the style of current transportation. Thanks to the advancing intangible norm, it was explosively spreading in next decade, in terms of ride-sharing and EV emancipation. It was not tragedic narration to traditional business models, due to the enforcement of paradigm shift, automation technology will replace the market and generate new industry based on theoretical logics.
Autonomous vehicles have been envisioned for decades and are now becoming a reality. Tests of autonomous driving technologies began as early as the 1940s. Modern autonomous vehicles use GPS and lidar sensors to map their surroundings and plan routes from point A to B without human input. Major companies like Google, Uber, and Tesla are actively working on autonomous vehicle technologies. While autonomous vehicles could help reduce traffic accidents by 80% by 2050, important questions remain around legal responsibility if accidents occur and how vehicles will handle emergency situations through "death algorithms." The widespread adoption of autonomous vehicles will change transportation but also create new jobs and opportunities.
It’s a parking search system which provides users where there is available parking space throughout the city. The user can search free space using the Web browser. After parking, the car will be locked with a randomly generated PIN. For unlocking, the user has to provide the correct PIN. Used Arduino,
PHP,
MySQL Database,
IR Sensor,
Servo Motor,
The document discusses emerging technologies related to intelligent transportation systems, including lidar, driverless cars, and unmanned ground and aerial vehicles. Several organizations and programs are mentioned that are involved in research and development of autonomous vehicles, such as Google, VisLab, DARPA, and the US Department of Defense. The document appears to be about advances in autonomous vehicle and transportation technologies.
The FEET (Facility for Easy and Efficient Transportation) system proposes integrating information technology to improve the efficiency of public transportation, specifically auto-rickshaws in India. It aims to make auto-rickshaw services more accessible by developing a system to calculate customer locations and direct the closest vehicle. Early prototypes involved the customer's device emitting radio waves or using GPS to send their location. The final design uses a user-friendly gadget that triangulates their position using cellular-like waves. If implemented, this system could reduce wait times for customers and increase driver incomes while providing an essential transportation option.
This document discusses automation and the author's interests in the field. It provides definitions of automation as using technology to monitor and control production and services. The author believes automation, IoT, and SMAC are interconnected and help improve efficiency. Examples discussed include building automation, automated manufacturing, agriculture, and retail. Trends mentioned are automated software testing, defense robotics, smart grids, space research, and robotics including animal-like robots. The author is interested in smart grids, homes, building automation, energy utilization, health services, renewable energy, industrial automation, robotics, AI, and IoT, and wants to make affordable small-scale home and building automation systems.
Smart parking systems aim to improve the driver experience, reduce traffic and pollution, and increase safety and efficiency. The system uses sensors and cameras to detect and identify parked cars, and allows drivers to check in and pay automatically via phone or RF card. A raspberry pi board acts as the coordinator to communicate between the sensor units and parking payment system. Issues like sensor accuracy and detecting non-moving objects were addressed. Future work may include GPS location tracking and integrating additional payment methods. The system is intended to help drivers find parking spots more easily.
Iot based smart car parking system for smart convertedkrish2000
A Mobile application which displays the available parking slots and filled parking slots at a given area. Where the data
is accessed from the database and displayed in real time
Nowadays the congestion of traffic level increases with the increasing population rapidly. With respect to
the amount of population country, the utilization of personal vehicles also increased. Most of the folks choose personal
vehicles than public transportation. Enter his/her details to the application, and enter the location where he/she wants to
reach time-consuming to find parking space in most metropolitan areas, commercial areas, especially during the rush
hours. It is often costly in almost every big city in all over the world to find a proper and secure parking space. The
proposed project is a smart parking system that delivers information to people finding a parking space online booking. It
reduce unnecessary time consuming for searching the problem of parking space in parking areas. Hence, the website is
provided by this project-based system where users can view various parking areas and choose the space from obtainable
slots. Keywords:
The document discusses disruptive technologies and startups in the automotive industry. It notes there are over 5,000 startups globally focused on areas like electric vehicles, autonomous driving, and personalized experiences. The traditional three horizon model for innovation is no longer bounded by time, and organizations need strategies for short, medium, and long-term horizons today. Emerging technologies disrupting the industry include electric mobility, computer vision, edge computing, 5G, blockchain, and more. The document provides use case examples and the number of startups working in each area. It also discusses how Excubator engages with over 21,000 startups in India through networks, platforms, and providing guidance to startups.
Disruptive innovations in areas like 5G, artificial intelligence, the Internet of things, and driverless technology are reshaping the auto industry and mobility solutions. While some changes like car sharing and smart parking are already occurring, autonomous vehicles have the potential to be a "game changer" that attracts billions in investments annually from automakers, tech companies, startups and others. In addition to fulfilling a long-held dream of driverless cars, autonomous vehicles could deliver social benefits like reducing accidents, increasing accessibility, and improving quality of life through time savings and reduced emissions. However, mass adoption may not occur until the 2025-2035 timeframe depending on technology readiness and regulations.
A Cloud-Based Smart-Parking System Based on Internet-of-Things TechnologiesKamal Spring
This document summarizes a research paper on a proposed cloud-based smart parking system based on Internet-of-Things technologies. The proposed system uses sensors and wireless networks to collect parking availability data from each parking area. It then calculates parking costs based on distance and availability to recommend available spaces to users. The system was tested in a simulation and implemented in the real world. The results showed the system helped improve the probability of finding parking and minimized user waiting times.
In this presentation, Haripriya introduces the topic of SMAC and moves on to the problem area of storage in cloud. Her interest area lies in developing algorithms that make cloud storage safer.
In this presentation, Aditya introduces automation and says that this might be the next big thing in India given PM Modi's talk about a digital India. Aditya's interest area lies in Home automation.
Accessible Car Parking System with IoTNurNabilah62
The document discusses the goals and objectives of developing an Accessible Car Parking System using IoT (Internet of Things). The goals are to streamline the car parking system and focus on studying, designing, implementing, testing and evaluating an IoT-based accessible car parking system. Some future improvements suggested are allowing users to reserve parking slots via the system and incorporating payment of parking fees into the system features.
Self-driving: AI evolution and Massive deployment in production carsJunli Gu
1) Xmotors.ai is a Chinese electric vehicle company founded in 2014 that aims to transform driving experiences for young internet users with autonomous driving and intelligent connectivity as its core technologies.
2) The company plans to mass produce its first electric SUV with Level 2.5 self-driving capabilities by the end of 2018, followed by an electric sedan with Level 3 self-driving in 2019 and another electric SUV with Level 3 in 2020.
3) Xmotors.ai sees autonomous driving as one of the most challenging AI applications requiring advances in data, algorithms, and computing hardware, and is focusing on developing its "Data Genome" to power the evolution of its autonomous driving capabilities.
Artificial intelligence in manufacturing is not a future thing, it is a matter of today. We are accustomed to using AI in our daily lives with Apple’s Siri and Amazon’s Echo.
In this presentation, Srija introduces IoT and associated trends. Varsha's interest areas are in soft robotic automation that would improve speed, accuracy,consistency, quality and scalability in production.
14 9245 it design of android based smart car (edit ari)IAESIJEECS
Android smart car is designed with safety in mind. A simple and sensitiveline, included steering wheels and new voice events, this is designed to reduceinterruption so you can stay focused on the highway.This car which can be controlling using an Android APP for smart phones.A car is regularly an electronic mechanic machine that is guide by computer and electronic controlling programming. The innovation of the Smart Car technology to developing based on remote connection using android application can control the car movements. This system use Bluetooth device controller to control the mobile App. This Bluetooth device interface with UART communication. The UART receive the command via the Bluetooth device. This design is may helps to our rural citifies. This system is developing to help to self driving vehicles.
Auto tech is long history, until it has unveiled the style of current transportation. Thanks to the advancing intangible norm, it was explosively spreading in next decade, in terms of ride-sharing and EV emancipation. It was not tragedic narration to traditional business models, due to the enforcement of paradigm shift, automation technology will replace the market and generate new industry based on theoretical logics.
Autonomous vehicles have been envisioned for decades and are now becoming a reality. Tests of autonomous driving technologies began as early as the 1940s. Modern autonomous vehicles use GPS and lidar sensors to map their surroundings and plan routes from point A to B without human input. Major companies like Google, Uber, and Tesla are actively working on autonomous vehicle technologies. While autonomous vehicles could help reduce traffic accidents by 80% by 2050, important questions remain around legal responsibility if accidents occur and how vehicles will handle emergency situations through "death algorithms." The widespread adoption of autonomous vehicles will change transportation but also create new jobs and opportunities.
It’s a parking search system which provides users where there is available parking space throughout the city. The user can search free space using the Web browser. After parking, the car will be locked with a randomly generated PIN. For unlocking, the user has to provide the correct PIN. Used Arduino,
PHP,
MySQL Database,
IR Sensor,
Servo Motor,
The document discusses emerging technologies related to intelligent transportation systems, including lidar, driverless cars, and unmanned ground and aerial vehicles. Several organizations and programs are mentioned that are involved in research and development of autonomous vehicles, such as Google, VisLab, DARPA, and the US Department of Defense. The document appears to be about advances in autonomous vehicle and transportation technologies.
The FEET (Facility for Easy and Efficient Transportation) system proposes integrating information technology to improve the efficiency of public transportation, specifically auto-rickshaws in India. It aims to make auto-rickshaw services more accessible by developing a system to calculate customer locations and direct the closest vehicle. Early prototypes involved the customer's device emitting radio waves or using GPS to send their location. The final design uses a user-friendly gadget that triangulates their position using cellular-like waves. If implemented, this system could reduce wait times for customers and increase driver incomes while providing an essential transportation option.
This document discusses automation and the author's interests in the field. It provides definitions of automation as using technology to monitor and control production and services. The author believes automation, IoT, and SMAC are interconnected and help improve efficiency. Examples discussed include building automation, automated manufacturing, agriculture, and retail. Trends mentioned are automated software testing, defense robotics, smart grids, space research, and robotics including animal-like robots. The author is interested in smart grids, homes, building automation, energy utilization, health services, renewable energy, industrial automation, robotics, AI, and IoT, and wants to make affordable small-scale home and building automation systems.
Smart parking systems aim to improve the driver experience, reduce traffic and pollution, and increase safety and efficiency. The system uses sensors and cameras to detect and identify parked cars, and allows drivers to check in and pay automatically via phone or RF card. A raspberry pi board acts as the coordinator to communicate between the sensor units and parking payment system. Issues like sensor accuracy and detecting non-moving objects were addressed. Future work may include GPS location tracking and integrating additional payment methods. The system is intended to help drivers find parking spots more easily.
Iot based smart car parking system for smart convertedkrish2000
A Mobile application which displays the available parking slots and filled parking slots at a given area. Where the data
is accessed from the database and displayed in real time
Nowadays the congestion of traffic level increases with the increasing population rapidly. With respect to
the amount of population country, the utilization of personal vehicles also increased. Most of the folks choose personal
vehicles than public transportation. Enter his/her details to the application, and enter the location where he/she wants to
reach time-consuming to find parking space in most metropolitan areas, commercial areas, especially during the rush
hours. It is often costly in almost every big city in all over the world to find a proper and secure parking space. The
proposed project is a smart parking system that delivers information to people finding a parking space online booking. It
reduce unnecessary time consuming for searching the problem of parking space in parking areas. Hence, the website is
provided by this project-based system where users can view various parking areas and choose the space from obtainable
slots. Keywords:
The document discusses disruptive technologies and startups in the automotive industry. It notes there are over 5,000 startups globally focused on areas like electric vehicles, autonomous driving, and personalized experiences. The traditional three horizon model for innovation is no longer bounded by time, and organizations need strategies for short, medium, and long-term horizons today. Emerging technologies disrupting the industry include electric mobility, computer vision, edge computing, 5G, blockchain, and more. The document provides use case examples and the number of startups working in each area. It also discusses how Excubator engages with over 21,000 startups in India through networks, platforms, and providing guidance to startups.
Disruptive innovations in areas like 5G, artificial intelligence, the Internet of things, and driverless technology are reshaping the auto industry and mobility solutions. While some changes like car sharing and smart parking are already occurring, autonomous vehicles have the potential to be a "game changer" that attracts billions in investments annually from automakers, tech companies, startups and others. In addition to fulfilling a long-held dream of driverless cars, autonomous vehicles could deliver social benefits like reducing accidents, increasing accessibility, and improving quality of life through time savings and reduced emissions. However, mass adoption may not occur until the 2025-2035 timeframe depending on technology readiness and regulations.
A Cloud-Based Smart-Parking System Based on Internet-of-Things TechnologiesKamal Spring
This document summarizes a research paper on a proposed cloud-based smart parking system based on Internet-of-Things technologies. The proposed system uses sensors and wireless networks to collect parking availability data from each parking area. It then calculates parking costs based on distance and availability to recommend available spaces to users. The system was tested in a simulation and implemented in the real world. The results showed the system helped improve the probability of finding parking and minimized user waiting times.
In this presentation, Haripriya introduces the topic of SMAC and moves on to the problem area of storage in cloud. Her interest area lies in developing algorithms that make cloud storage safer.
SMAC (social, mobile, analytics and cloud) is driving innovation through four key technologies. It represents the fifth wave of IT architecture and is happening faster than previous waves. By 2020, 100 billion devices will be connected to the web and corporations will manage 50 times more data than today. SMAC will multiply business productivity across organizations.
In this presentation, Mrinal introduces automation and associated trends.His interest lies in data transfer speeds between electrical devices and also automation testing of electrical devices.
In this presentation, Lakshmiprabha intrdouces Cloud Telephony and how this is adding life into the aging IVR system. Her interest area lies in cloud computing where she wants to work with business units in capturing and analyzing the most important data.
In this presentation, Shruthi introduces IoT and associated trends. Shruti is interested in the smart device space where she wants to decentralize processing to have an efficient management of processing power.
In this presentation, Ravi introduces IoT and associated trends. Ravi is interested in developing Iot applications in the home appliance and security areas.
In this presentation, Abhishek introduces automation and associated trends. Abhishek is interested in applications that are at the confluence of Artificial Intelligence and Augmented Reality.
In this presentation, Abhishek introduces SMAC and associated trends. His interest area is in machine learning where he wants to build customer profiles and automate products/services according to needs.
In this presentation, Praveen introduces IoT and discusses trends associated with the field. He says that he would want to work on RFID based solutions that will be socially acceptable and economically sustainable.
This document contains information about Adarsh Shroff, a first year M.Tech student in computer science at SRM University. It provides an overview of the Internet of Things (IoT), including its definition, history, trends, characteristics, technologies, architecture, challenges and applications. Some of Adarsh's specific interest areas within IoT are smart parking, smart mirrors, tracking, transport and logistics, and smart home applications. He is interested in developing privacy-focused applications in these areas to help improve people's lives and society.
In this presentation, Danish introduces the SMAC stack and talks about how SMAC deployments are transforming businesses. Confirmatory data analytics is what he is interested in.
In this presentation, Vani introduces IoT and associated trends. Vani is interested in Big Data analytics of data generated in the IoT space to help solve real life problems.
The document proposes a new time synchronization scheme called Mobi-Sync for mobile underwater sensor networks. Existing schemes cannot account for long propagation delays and node mobility in underwater networks. Mobi-Sync estimates propagation delays more accurately by utilizing the spatial correlation between neighboring node mobility patterns. It involves three phases: delay estimation, linear regression, and calibration. Simulation results show Mobi-Sync has better accuracy and energy efficiency than existing approaches.
This document discusses automation and Praful Kumar's interest in the field. It defines automation as operating or controlling a process through highly automatic means like electronics and programming. It notes how automation has been achieved through mechanical, hydraulic, pneumatic, electrical and computer means. Praful is interested in learning about the Internet of Things and its applications in automation, as well as developing software for the automation industry.
In this presentation, Ajay introduces automation and latest trends in that domain. Ajay predicts building automation to be the next big thing in this space and he intends to use his experience in 3d modelling and mechatronics to specialize in that domain.
In this presentation, Vivek introduces automation and associated trends. His interest area lies in applying automation techniques for the betterment of the society.
In this presentation, Agastya introduces the topic of automation and associated trends. Agastya's interest lies in developing automation systems to aid the programming community whereby less of their time goes in testing and more of it goes in designing products and platforms.
Rajesh Roshan is a 6th semester student studying Electronics and Communication Engineering at the National Institute of Technology, Patna. His document discusses automation, including definitions of automation and examples of fields where automation is used. It also covers trends in automation like remote monitoring, smart grids, home automation, medical automation, and more. Rajesh is particularly interested in home automation using IoT, as well as automobile automation, swarm robotics, and security systems based on embedded projects.
Rajesh Roshan is a 6th semester student studying Electronics and Communication Engineering at the National Institute of Technology, Patna. His document discusses automation, including definitions of automation, trends in automation like remote monitoring, smart grids, home automation, and medical automation. It also discusses areas of automation like IOT, home automation, automobile automation, and robotics. Rajesh expresses particular interest in home automation using IOT and Raspberry Pi, as well as automobile automation, swarm robotics, and security systems based on embedded projects.
1) Connected cars are becoming increasingly common, with 75% of cars shipped globally expected to have connectivity features by 2020. Advanced driver assistance systems are improving safety and efficiency through features like adaptive cruise control and collision warning.
2) Atooma has developed a technology that analyzes data from car sensors to provide useful notifications and suggestions to drivers, such as alerts about low fuel or nearby restaurants, in order to simplify the driving experience.
3) Atooma aims to help automotive businesses by suggesting preset use cases that integrate drivers' apps and objects, and by bringing context awareness to connected objects so they can intelligently react to drivers' needs.
Automation can be traced as far back as 270BC when the Egyptians first used a float regulator for a water clock. Over the centuries, automation processes have entered many areas of life and helped power the industrial revolution from the 17th century. At the heart of automation is the desire to improve humanity by improving consistency, accuracy and productivity. In essence, making things easier to carry out.
Indeed, automation has become so integral to our lives that we take for granted our dishwashers, washing machines and traffic lights. Examples of automation are all around us alleviating the mundane, elevating levels of safety and freeing up precious time on a daily basis.
In this presentation, Nikhil introduces the concept of automation and associated trends. Nikhil's interest area lies in creating an automation device that will interface with the human brain to make communication more natural.
Embedded systems combine hardware and software to form components of larger machines. Mechatronics is the synergistic combination of precision engineering, electronics, and control systems in products and processes. The document discusses future career opportunities in embedded systems, mechatronics, and control, including in automotive and aerospace industries, medicine, robotics, manufacturing, and telecommunications. These fields will revolutionize technology by combining mechanics, electronics, software, and control systems to create smart systems like driverless cars, medical robots, and more. Broadly trained engineers will be needed to develop new technologies and take advantage of exciting career prospects.
This document discusses automation and robotics. It covers the history and types of automation, benefits like increased productivity and quality, and disadvantages like high costs. It also discusses different types of automation technologies. For robotics, it discusses the history from Isaac Asimov's laws to modern robots. Applications of robotics include industries, military, agriculture, and assisting disabled people. Career opportunities in robotics are growing as the market expands. Key robot components discussed are sensors, actuators, motors, microcontrollers, and programming.
Minette Compson : AI Trends in the Workplace Streamlining Business Operations...Minette Compson
Discover the profound impact of automation revolution on jobs and the workplace. Explore strategies for navigating workforce transitions, embracing innovation, and fostering a future-ready workforce. Gain insights into the benefits, challenges, and ethical considerations of automation.
This document discusses how intelligent automation is transforming business operations through the use of machines that can learn, adapt, and make autonomous decisions. It provides the following key points:
1) Three-quarters of executives surveyed believe intelligent machines will have a meaningful impact on their business performance within the next three years and are seeing benefits like increased efficiency and productivity.
2) While industries like automotive and healthcare are leaders in adopting technologies like AI/machine learning, most organizations still have work to do in training employees, optimizing processes for automation, and making complex decisions at scale.
3) As foundational technologies like cloud and IoT continue to spread, the use of intelligent automation is expected to grow substantially over the next
Automation or automatic control, is the use of various control systems for operating equipment such as machinery, processes in factories, boilers and heat treating ovens, switching in telephone networks, steering and stabilization of ships, aircraft and other applications with minimal or reduced human intervention. Some processes have been completely automated.
The biggest benefit of automation is that it saves labor, however, it is also used to save energy and materials and to improve quality, accuracy and precision.
This document discusses cognitive automation and artificial intelligence. It begins with definitions of cognition and automation. It then provides a brief history of automation and examples of current automation technologies. It discusses different types of artificial intelligence from narrow to general to super intelligence. It also discusses machine learning and deep learning approaches. The document outlines various applications of cognitive automation and artificial intelligence, as well as challenges. It emphasizes that cognitive automation will change but not eliminate jobs for humans. The presentation aims to inspire students to help build the future of cognitive automation and artificial intelligence.
The document discusses the use of artificial intelligence and robotic technology in manufacturing. It notes that AI has replaced many worker roles over the past decades through technologies like robotic arms, automatic production lines, and software for customer interactions. The document uses Canon as a case study, finding that after implementing robotic technology Canon was able to produce more cameras with fewer workers. However, the document also notes there are challenges to implementing robotic technology, such as high initial costs and the need for complex programming. It argues robotic technology should be limited to certain manufacturing processes and used carefully to avoid unemployment, but that it is an inevitable global phenomenon that can increase efficiency when applied appropriately.
The document discusses industrial automation and its applications. It describes how industrial automation uses technology and control systems to automate industrial processes like manufacturing, production, and assembly lines. This improves efficiency, productivity, and quality while reducing costs. Automation systems include robotics, programmable logic controllers, sensors, and software. Industrial automation is used widely in industries like automotive, apparel, aerospace, electronics, pharmaceuticals, food and beverage. The document then discusses automation systems and provides examples like manufacturing automation using robots, transportation automation with self-driving vehicles, and information processing automation using machine learning. It also discusses how automation systems work using inputs, processing, and outputs.
In this presentation, Ankit introduces SMAC and associated trends. Ankit's interest area lies in Big Data Analysis which he wants to in interesting applications in the healthcare space, one of the interesting examples he suggests is to find the correlation between treatment and cure.
In this presentation, Sumit introduces IoT and associated trends. Sumit's interest area lies in enabking physical-digital communication that is independent of physical location
In this presentation, Pawan discusses approaches for home automation and smart grid. His interest areas lie in implementing cloud server systems to monitor appliances and providing security for the same.
In this presentation, Ayush introduces IoT and associated trends. Ayush wants to work on the standardization part of IoT and as an example he talks about Constrained Application Protocol (CoAP).
In this presentation, Sairaju introduces SMAC and associated trends. Sai is currently working on a project on encryption of data in cloud and his interest area is in the related field of securing cloud infrastructure.
In this presentation, Melissa introduces IoT and associated trends. In Melissa's own words, "I would like to work on networking related to Ipv6 and designing network architecture for IPv6 and IPv6 Dual Stack for Broadband Edge"
The document discusses the Internet of Things (IoT) and trends related to IoT. IoT allows physical objects to connect and interact wirelessly to share information without human intervention. By 2020, IoT is expected to produce vast amounts of data that can help optimize systems and provide insights across various sectors like healthcare, transportation, and more. The author is interested in incorporating artificial intelligence with IoT to create applications that focus on environment conservation and healthcare by utilizing their programming and app development skills.
In this presentation, Shivani introduces IoT and associated trends. Shivani describes what seems like a very interesting future to have with mobile as the gateway to a smart home.
In this presentation, Sravani introduces SMAC and associated trends. Having already developed mobile applications using IBM’s BlueMix, Sravani's interest areas lie in the same domain along with Big Data Analytics.
In this presentation, Prateek introduces what he calls "Internet of Everything" and talks about building IoT applications that aid in water/energy conservation.
In this presentation, Sushmitha introduces IoT and associated trends. Sushmitha is interested in cloud computing which is one of the enablers of IoT. She also talks about fog computing which uses challenge questions for access control.
In this presentation, Surbhi introduces IoT and associated trends. Surbhi is interested in IoT applications in the health monitoring space where health is monitored real time using sensors and data is transmitted to doctors.
In this presentation, Vijaya introduces IoT and associated trends. Vijaya is interested in sensors and their applications in the home automation space.
In this presentation, Smriti introduces IoT and associated trends. Smriti talks about an innovative ides that uses IoT services and cloud application to check the health of laptop and automates messages to both the service centres and the owner.
In this presentation, Praneeth introduces IoT and associated trends. Praneeth is interested in IoT applications in home automation space and he also has several ideas WRT to water management and transport management using IoT applications.
Harmish Doshi is a student at NMIMS University studying Information Technology. He is interested in the fields of SMAC - Social, Mobile, Analytics and Cloud. SMAC creates an ecosystem that allows businesses to improve operations and connect with customers. Social media has led to new ways for businesses and individuals to connect globally. Mobility has made rich digital content easily accessible through mobile devices. Analytics is used across industries to drive growth and improve operations. Cloud computing provides cost effectiveness, agility and flexibility for enterprises. Harmish is interested in mobility, cloud and social fields to strengthen relationships between industries and consumers and make applications more user-friendly.
In this presentation, Anil introduces automation and associated trends. Having attended workshops in automation testing space, his interest area lies in that domain.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Programming Foundation Models with DSPy - Meetup Slides
Automation
1. AUTOMATION
NAME: KEVIN DSOUZA
E-MAIL: KDSOUZA1496@GMAIL.COM
TWITTER ID: @KDSOUZA14961
UNIVERSITY: NATIONAL INSTITUTE OF TECHNOLOGY, SURATHKAL
YEAR/SEMESTER: 4TH SEMESTER
BRANCH: ELECTRONICS AND COMMUNICATION
2. Automation is of utmost importance today’s world as everything is fast paced and needs
to be precise. It is essentially using control systems to operate machinery.
Automation reduces the need of human labour. It increases throughput and also the
precision and accuracy of manufacturing or any other operation significantly.
Control systems that are used can be of different types, mainly of open and closed loop
types.
o Open loop systems are systems without feedback.
o Closed loop systems are systems with feedback given by a controller circuit.
It can also be classified based on the type of operation. If it follows a particular fixed
sequence without any external input then it can be classified as a fixed sequence
automation.
If external inputs effect the system states and logical operations have to be performed to
achieve automation then such a system is called logic sequence or system state control.
Programmable logic controllers are a class of computers that are used in relay logic type
systems. A general purpose process control computer then takes the output of a network
of PLC’s and can process the data of the same.
3. There are various instances of automation we come across in different fields
o Human machine interfaces
o Computer aided design and manufacturing
o Data acquisition
o programmable logic controller
o Robotics
o Artificial Intelligence
Automation is very much essential in Industrial manufacturing as well as in the agricultural
sector for increased throughput but it has its limitations in the fact that automated
machines cant think like humans do, logic and reason. There is a certain limitations to the
intelligence adopted in a automated system therefore might lead to erroneous results in
some rare occasions.
High initial investment is a hindrance to the adoption of automation in domestic and
everyday things but once that is through the return per investment is pretty high in most
of the cases.
4. TRENDS
Home automation is an upcoming prospect in the field of automation. Efficient use of
energy, importance to convenience and luxury taking center stage, home automation Is a
trend that is here to stay.
Intelligent Transport Systems(ITS) and vehicular automation : This is as cool as it sounds in the
fact the vehicles are getting smarter by the day. From automatic traction control, cruise
control to fully automated vehicles, this concept has taken automation to the next level.
Low Cost Automation (LCA): Another concept that has seeped into the minds of the
industrial manufacturers. It involves introduction of pneumatic, hydraulic, mechanical
components into an already existing setup just to increase the productivity.
Humanoid Robotics : Next level robotics technology where human like robots will perform
tasks that humans do like serving coffee or lifting something heavy.
5. Next Five Years in automation technology
Augmented Reality (AR): A concept where the real world is mimicked using object
recognition, sensory outputs, machine learning and computer vision. Physical objects are
tried to be controlled using simple gestures thus this is going to take automation to the
next level .
Humanoid Robots with Human like intelligence : With Robots like Asimo from Honda
already setting a trend more are soon to follow in this interesting field.
Smart Agriculture : Our country being predominantly agricultural, Agricultural automation
is an inevitable thing in the future. It has the capability of changing the face of agriculture
as we see it.
6. My Interest areas in the topic are Vehicular automation and Augmented reality.
I would try to merge the two concepts stated above, essentially involves taking the help of
augmented reality to help in vehicular automation. Foe example help the driver see in
blind spots of the vehicle, help the driver to take a reverse etc... This would involve merging
key concepts in both augmented reality and vehicular automation.
I would like to work on a project related to concepts of augmented reality as the subject
fascinates me and I feel that it is a thing for the future.