An implementation of motorized wheelchair for handicapped persons
•
0 likes•49 views
Researchers and scientists have contributed a lot for handicapped or physically disabled people to adopt techniques that may help to smooth their mobility in daily life reducing their painful effort, instead of being dependent on others specially while using traditional tools like wheelchair. Many people continuously need help of someone while moving somewhere with the wheelchair. By having an automated control system incorporated with the wheelchair, they would become more independent. The main goal of this project is to fabricate an android controlled wheelchair using Arduino, which can be navigated easily by disabled people with own effort. The inputs will have to be provided through android application which has navigation control and other features, also this application is integrated with home automation system for controlling home appliances. This wheelchair is able to detect any obstacle or crack on the path towards the direction of motion and alerts the user with the help of sonar sensor and IR sensor. The enriched results of this project fabricated a path for further advancement of this technology and finally being manufactured. Please take a look at this link; https://bit.ly/2NStcZ9
Report
Share
Report
Share
Download to read offline
Recommended
Citizen Science: Sensors and the Environment - SXSW 2016
Citizen science involves members of the public collecting and analyzing scientific data using sensors. Sensors can react predictably to environmental conditions and measure aspects like air quality. A recent citizen science project involved students, scientists and public health experts using open-source air quality sensors to collect data from four neighborhoods in San Diego over a spring period. The sensors measured particulate matter and gas levels every 30 seconds, uploading averages to be viewed online. The project aimed to engage the public and gather more information on local environmental conditions.
Google driver less car
This document summarizes a seminar on Google's driverless car. It discusses the technologies used in driverless cars like Lidar and video cameras for navigation. Benefits include safer travel, following traffic laws, and more efficient parking. Challenges include liability issues, job losses, and reliance on updated technology. In the future, driverless cars could increase road capacity and mobility, but costs remain high for the necessary sensors and computing power. The conclusion discusses the potential transformative impact of driverless cars by 2040 in minimizing accidents.
Google driverless car technical seminar report (.docx)
Google Driverless Car is the latest technology or innovation that is going to hit the market in the coming years.
This report is especially for mechanical engineering students.
Gesture control wheel chair 1
The document outlines a hand gesture controlled wheelchair. It includes the wheelchair architecture with a microcontroller, accelerometer, LCD display, and transmitter/receiver for wireless control. The software required is Atmel Studio 6 and USBasp driver. It includes block and circuit diagrams. Estimated total cost is around $3,630, with major expenses being the wheelchair frame at $2,000 and the accelerometer at $400. The wheelchair can be controlled wirelessly using hand gestures detected by the accelerometer to move forward, backward, left, or right.
Iot operated wheel chair / smart wheelchair
This document describes a project to create an IOT operated wheelchair that can be controlled through hand gestures using an accelerometer sensor. The wheelchair is intended to help elderly and physically disabled users navigate inside their home independently. It uses a Raspberry Pi microcontroller along with sensors like an IR sensor for obstacle detection and a camera for live video streaming. The wheelchair's motion in four directions is controlled by tilting the hand in those directions which is detected by the accelerometer sensor. This provides independent mobility assistance without requiring another person's help.
Driverless car
These days Self driving cars are achieving high popularity. But, Initially, it was started with an idea of driverless car technology provided with great sensor technology.
Final google driverless car (ashok k)
This document discusses driverless cars, including what they are, their history and components. It explains that driverless cars can steer themselves, maintain the correct speed and stop/go based on traffic conditions. The technology integrates Google Maps with sensors and AI to allow cars to drive autonomously. Some advantages are fewer accidents from human error and increased road capacity, while disadvantages include potential hacking risks and high costs.
google driver less car
The document discusses Google's driverless car project. It provides a brief history of how Sebastian Thrun developed the first Google driverless car prototype in 2014. The key components that enable the car's autonomous capabilities are described, including LIDAR sensors that map the environment, radar sensors that detect obstacles, video cameras, and position estimators. The artificial intelligence processes sensor data and maps to determine how to accelerate, brake, and steer safely. Potential advantages are reducing accidents, increasing road capacity, and saving fuel.
Recommended
Citizen Science: Sensors and the Environment - SXSW 2016
Citizen science involves members of the public collecting and analyzing scientific data using sensors. Sensors can react predictably to environmental conditions and measure aspects like air quality. A recent citizen science project involved students, scientists and public health experts using open-source air quality sensors to collect data from four neighborhoods in San Diego over a spring period. The sensors measured particulate matter and gas levels every 30 seconds, uploading averages to be viewed online. The project aimed to engage the public and gather more information on local environmental conditions.
Google driver less car
This document summarizes a seminar on Google's driverless car. It discusses the technologies used in driverless cars like Lidar and video cameras for navigation. Benefits include safer travel, following traffic laws, and more efficient parking. Challenges include liability issues, job losses, and reliance on updated technology. In the future, driverless cars could increase road capacity and mobility, but costs remain high for the necessary sensors and computing power. The conclusion discusses the potential transformative impact of driverless cars by 2040 in minimizing accidents.
Google driverless car technical seminar report (.docx)
Google Driverless Car is the latest technology or innovation that is going to hit the market in the coming years.
This report is especially for mechanical engineering students.
Gesture control wheel chair 1
The document outlines a hand gesture controlled wheelchair. It includes the wheelchair architecture with a microcontroller, accelerometer, LCD display, and transmitter/receiver for wireless control. The software required is Atmel Studio 6 and USBasp driver. It includes block and circuit diagrams. Estimated total cost is around $3,630, with major expenses being the wheelchair frame at $2,000 and the accelerometer at $400. The wheelchair can be controlled wirelessly using hand gestures detected by the accelerometer to move forward, backward, left, or right.
Iot operated wheel chair / smart wheelchair
This document describes a project to create an IOT operated wheelchair that can be controlled through hand gestures using an accelerometer sensor. The wheelchair is intended to help elderly and physically disabled users navigate inside their home independently. It uses a Raspberry Pi microcontroller along with sensors like an IR sensor for obstacle detection and a camera for live video streaming. The wheelchair's motion in four directions is controlled by tilting the hand in those directions which is detected by the accelerometer sensor. This provides independent mobility assistance without requiring another person's help.
Driverless car
These days Self driving cars are achieving high popularity. But, Initially, it was started with an idea of driverless car technology provided with great sensor technology.
Final google driverless car (ashok k)
This document discusses driverless cars, including what they are, their history and components. It explains that driverless cars can steer themselves, maintain the correct speed and stop/go based on traffic conditions. The technology integrates Google Maps with sensors and AI to allow cars to drive autonomously. Some advantages are fewer accidents from human error and increased road capacity, while disadvantages include potential hacking risks and high costs.
google driver less car
The document discusses Google's driverless car project. It provides a brief history of how Sebastian Thrun developed the first Google driverless car prototype in 2014. The key components that enable the car's autonomous capabilities are described, including LIDAR sensors that map the environment, radar sensors that detect obstacles, video cameras, and position estimators. The artificial intelligence processes sensor data and maps to determine how to accelerate, brake, and steer safely. Potential advantages are reducing accidents, increasing road capacity, and saving fuel.
Autonomous
Gireesh Babu B and Ayyavaru Reddy Y will present a technical paper on embedded systems for automobile automation. Their paper will discuss how autonomous vehicles are becoming a reality through advances in embedded systems and various sensors. It will provide details on how GPS, sensors, and a computerized system allow a car to drive itself by simulating a human driver. The system aims to make driving safer by avoiding collisions and reducing traffic through optimized path planning and coordination between autonomous vehicles.
Google's Driverless car
Sai teja madireddy gave a technical seminar on Google's driverless car at Audisanakra Institute of Technology. The presentation covered the history and development of Google's driverless car project, its key components including Google Maps, hardware sensors like LIDAR and video cameras, and artificial intelligence software. It was noted that Google's driverless cars have driven over 140,000 miles with only occasional human intervention required. The development of driverless car technology was concluded to help improve vehicle stability and safety by reducing human error in driving.
Waymo Driverless car
Waymo was originally a Google self-driving car project and is now a standalone company called Waymo. Waymo's mission is to make transportation safe, easy, and accessible to all without requiring a human driver. Waymo's self-driving cars use sensors like radar, lidar, and cameras to detect surroundings from long distances in all directions. The information from these sensors is analyzed by a central computer that controls the vehicle's steering, acceleration, and braking. Waymo has been testing self-driving cars on public roads since 2009 and launched a pilot program in Phoenix, AZ in 2017 for residents to ride in the self-driving vehicles.
Google driverless car with working
The document discusses Google's self-driving car project. It describes how the cars can steer, accelerate, and stop autonomously using sensors like LIDAR and cameras to detect obstacles and artificial intelligence to process sensor data and determine driving actions. The cars have driven over 1 million miles with only minor accidents. While driverless cars could help avoid accidents and manage traffic, cybersecurity risks would need to be addressed to prevent hackers from interfering with vehicle control systems.
Google car
The document discusses Google's driverless car project. It describes how the car uses sensors like LIDAR, radar and cameras to navigate roads autonomously. It summarizes the components of the car including hardware like sensors and software for artificial intelligence. It provides details on how the car was tested, including routes driven and miles completed without accidents. It concludes that fully autonomous vehicles could help reduce accidents and increase mobility.
Google driverless car
Waymo is an autonomous vehicle company that was started as Google's self-driving car project in 2009. It uses hardware sensors like LIDAR, radar, cameras and software to allow vehicles to drive themselves. The goal is to prevent traffic accidents, reduce emissions and free up people's time. Sebastian Thrun led the early research and development. Nevada was the first state to pass a law allowing driverless cars in 2011. Google has tested over 140,000 miles with its fleet of Toyota Prius and Audi TT vehicles. Advantages include safety and efficiency while disadvantages include potential hacking risks. Future applications could include shared autonomous taxis and increased road capacity.
(The google car) Presentation
Google began developing self-driving car technology in 2009. Their self-driving cars use sensors like video cameras, radar, and laser rangefinders along with detailed maps to navigate roads without human intervention. The software processes sensor data in real-time to detect objects and safely maneuver the vehicle. Google's cars have driven over 200,000 miles with only one minor accident caused by a human driver. While self-driving cars could significantly reduce accidents, challenges remain regarding costs, regulations, and educating people.
Google car ppt
The document discusses Google's self-driving car. It has sensors like LIDAR and cameras that generate 3D maps of the environment. The car uses these maps along with GPS and AI to navigate roads autonomously, obeying traffic laws. Some benefits are reduced accidents and increased road capacity. Challenges include hackers potentially interfering with the system or failures causing accidents. The car aims to safely transport passengers to their destinations using sensors and software.
Driverless cars
Driverless cars are vehicles that can drive themselves from one point to another without human assistance. They use sensors like Mobileye to detect their surroundings, navigation systems to plot routes, and motion planning to move in a way that avoids obstacles while executing its task.
accelerometer based direction controlled wheel chair using gesture technology...
This document describes a project to design a circuit that controls a wheelchair using both gesture technology and a touchpad. The system uses an accelerometer to recognize hand gestures like upward, downward, left and right motions to send control signals via Zigbee to a receiver section connected to a motor driver and DC motors to move the wheelchair in the corresponding directions. The touchpad provides an additional way to control the wheelchair's movement through buttons. The goal is to provide an easy to operate wheelchair for physically disabled people.
accelerometer based direction controlled wheel chair using gesture technology...
This document describes a project to develop a gesture-controlled wheelchair for physically disabled people. An accelerometer sensor is used to recognize hand gestures which are processed by a microcontroller to control the wheelchair's motors. The wheelchair can be operated through palm movements like moving forward, backward, left or right. This provides an easy to use alternative to traditional wheelchairs that don't require dependence on others for operation. The system was tested successfully and some applications and future enhancements are discussed.
Eye directive wheel chair
The document describes an eye movement controlled powered wheelchair for people with physical disabilities. It uses an optical eye tracking system to detect eye movements and translate them to commands to control the wheelchair's movement and direction. Sensors are also included for obstacle detection. The system aims to provide an alternative mobility option for those unable to use traditional interfaces. It consists of a wireless camera, computer for processing eye images, microcontrollers to transmit commands and control motors, and motors attached to the wheelchair. Eye movements are detected using computer vision algorithms and translated to forward, left, or right motions. Additional safety features like obstacle detection and a manual joystick mode are included. The wheelchair aims to improve mobility for quadriplegics and others through a non-invasive
Google Driverless (Autonomous) Car
>DESCRIPTION:
Google Self-driving Cars are developed by Google [X] as part of its project to develop technology for mainly electric cars.
A Self-driving car (driver-less car, unmanned car, autonomous car, robotic car) is a vehicle that is capable of sensing its environment and navigating without human supervision or input. These modern cars are incorporated with finest features which allow them to operate autonomously.
Autonomous and unmanned technology is emerging gradually but continually, with new opportunities for its employment likely to follow in almost every industry which are involve in vehicle manufacturing like Ford, BMW, Audi etc.
Despite of the fact that this technology is emerging but autonomous and unmanned vehicles involve a transfer of control from direct human input to automated or self-control. This has implications for the determination of liability in the event of an incident, and will be a key factor in the pricing and risk transfer.
>MISSION:
According to Jennifer Haroon (Head of Business Operations - Google[X]):
“Our mission is to improve people’s life by transforming ability, and when we talk about transforming ability, one of the main part of that is “Safety”
>HISTORY:
The vision behind the Google Autonomous Cars was began as early as the 1939 New York World’s Fair where visitors were presented a vision of automated cars.
Another concept behind the “Google Driver-less Car” is the advertise from 1950’s showing a family on route trip.
>BEGINNING:
Numerous major companies and research organizations have developed working prototype autonomous vehicles, including Mercedes-Benz, General Motors, Continental Automotive Systems, IAV, Autoliv Inc., Bosch, Nissan, Renault, Toyota, Audi, Volvo, Tesla Motors, Peugeot, AKKA Technologies, Vislab from University of Parma, Oxford University and Google.
The reason behind the popularity of “Google Autonomous Vehicle” is because in May 2014, Google presented a new concept for their driver-less car that had neither a steering wheel nor pedals, and unveiled a fully functioning prototype in December of that year that they planned to test on San Francisco Bay Area roads beginning in 2015.
>TECHNOLOGY:
Google's robotic cars have about $150,000 in equipment. The software installed in Google's cars is named Google Chauffeur as well as including Lasers, Cameras, Radars, and Computing System that makes it into a “Self Driving Vehicle”
>SURVEY:
Expert members of the Institute of Electrical and Electronics Engineers (IEEE) have determined that driver-less vehicles will be the most viable form of intelligent transportation. They estimate that up to 75% of all vehicles will be autonomous by 2040.
Google car harish_badu
Google has developed technology for autonomous vehicles called Google Chauffeur. The project is led by Sebastian Thrun, who previously won the DARPA Grand Challenge and co-invented Google Street View. The cars use Google Maps to provide road information, hardware sensors to detect the environment in real time, and artificial intelligence to make decisions about speed, steering, and braking. The cars have driven nearly 700,000 autonomous miles in road testing, with a new prototype revealed in 2014 that has no steering wheel or pedals and is fully autonomous.
Google car
This document discusses Google's self-driving cars. It explains that self-driving cars can transport passengers from one location to another without human interaction through the use of technologies like GPS, sensors, and software. The advantages of self-driving cars are that they are electric, have quick reaction times, can travel at high speeds, and may cause fewer accidents than human-driven cars. However, challenges include the need to update current legislation, the expense of the software, and gaining acceptance from the public. The document also notes issues with creating performance standards for self-driving cars and references additional sources for more information.
IRJET- Design and Fabrication of Automated Wheel Chair
This document describes the design and fabrication of an automated wheelchair. The wheelchair is designed to help disabled individuals gain mobility. It uses various sensors and a microcontroller to detect obstacles and navigate automatically. The wheelchair can be controlled via a joystick or gestures. It has an ultrasonic sensor to detect obstacles and a GPS module to track its location. When an object is detected, the wheelchair turns right, moves forward a short distance, and stops to avoid collisions. The LCD display provides information like location coordinates and movement directions to the user. The goal is to develop a smart wheelchair that can be safely operated with minimal user input.
IOT operated Wheel chair...YOGI
This document describes an IOT-operated wheelchair that can be controlled through hand gestures. The wheelchair was implemented using an Android smartphone equipped with an accelerometer sensor for gesture recognition, a microcontroller, DC motors, an H-bridge motor driver, and Bluetooth. The wheelchair can move forward, backward, left and right based on gestures detected by the smartphone accelerometer. It is intended to help elderly and physically disabled users navigate inside their homes independently without external assistance. Some potential applications mentioned include use in hospitals and for disabled patients.
Google's Driverless Car
Google Driverless Car has been an innovation of modern day technology. A glimpse of details can be found in the presentation.
Voice control Wheelchair
It consisting Mobile app, Arduino, Bluetooth Receiver module, L293D ic etc. The movement of robot is controlled by the voice which catch by the microphone inside the mobile.
HEAD MOVEMENT WHEEL CHAIR
This document describes a head movement controlled wheelchair that was developed by students to help people with limited mobility. The wheelchair can be controlled through tilt movements of the user's head, allowing paraplegics and quadriplegics to navigate using only head motions. Sensors are able to detect the head tilts and send signals to motors that drive the wheelchair in the corresponding directions. This provides an alternative control method that is easier to use than traditional wheelchairs for those with mobility impairments affecting their limbs. The system was tested successfully through computer simulations.
Autonomous Driving- TU Chemnitz
This presentation shows how sensors are being distributed in an autonomous vehicle and how we can extract data from multi-sensor collaboration.
HOOVER PPT REVIEW PAPER (2) (1).pptx
This presentation summarizes a proposed autonomous hoover project using an Arduino. The presentation includes:
- The aim is to design an innovative automatic hoover to provide autonomous vacuuming without remote control.
- A block diagram shows the main components will include an Arduino Uno microcontroller, motor shield to control rear wheels, and ultrasonic sensors for navigation.
- Literature on previous vacuum cleaner robot projects was reviewed dating back to 2013, covering topics like navigation algorithms, visual dirt detection, and lessons learned from commercial products.
- The proposed methodology will use an Arduino motor shield to control the rear wheels, Arduino Uno as the microcontroller, and ultrasonic sensors for obstacle detection and
More Related Content
What's hot
Autonomous
Gireesh Babu B and Ayyavaru Reddy Y will present a technical paper on embedded systems for automobile automation. Their paper will discuss how autonomous vehicles are becoming a reality through advances in embedded systems and various sensors. It will provide details on how GPS, sensors, and a computerized system allow a car to drive itself by simulating a human driver. The system aims to make driving safer by avoiding collisions and reducing traffic through optimized path planning and coordination between autonomous vehicles.
Google's Driverless car
Sai teja madireddy gave a technical seminar on Google's driverless car at Audisanakra Institute of Technology. The presentation covered the history and development of Google's driverless car project, its key components including Google Maps, hardware sensors like LIDAR and video cameras, and artificial intelligence software. It was noted that Google's driverless cars have driven over 140,000 miles with only occasional human intervention required. The development of driverless car technology was concluded to help improve vehicle stability and safety by reducing human error in driving.
Waymo Driverless car
Waymo was originally a Google self-driving car project and is now a standalone company called Waymo. Waymo's mission is to make transportation safe, easy, and accessible to all without requiring a human driver. Waymo's self-driving cars use sensors like radar, lidar, and cameras to detect surroundings from long distances in all directions. The information from these sensors is analyzed by a central computer that controls the vehicle's steering, acceleration, and braking. Waymo has been testing self-driving cars on public roads since 2009 and launched a pilot program in Phoenix, AZ in 2017 for residents to ride in the self-driving vehicles.
Google driverless car with working
The document discusses Google's self-driving car project. It describes how the cars can steer, accelerate, and stop autonomously using sensors like LIDAR and cameras to detect obstacles and artificial intelligence to process sensor data and determine driving actions. The cars have driven over 1 million miles with only minor accidents. While driverless cars could help avoid accidents and manage traffic, cybersecurity risks would need to be addressed to prevent hackers from interfering with vehicle control systems.
Google car
The document discusses Google's driverless car project. It describes how the car uses sensors like LIDAR, radar and cameras to navigate roads autonomously. It summarizes the components of the car including hardware like sensors and software for artificial intelligence. It provides details on how the car was tested, including routes driven and miles completed without accidents. It concludes that fully autonomous vehicles could help reduce accidents and increase mobility.
Google driverless car
Waymo is an autonomous vehicle company that was started as Google's self-driving car project in 2009. It uses hardware sensors like LIDAR, radar, cameras and software to allow vehicles to drive themselves. The goal is to prevent traffic accidents, reduce emissions and free up people's time. Sebastian Thrun led the early research and development. Nevada was the first state to pass a law allowing driverless cars in 2011. Google has tested over 140,000 miles with its fleet of Toyota Prius and Audi TT vehicles. Advantages include safety and efficiency while disadvantages include potential hacking risks. Future applications could include shared autonomous taxis and increased road capacity.
(The google car) Presentation
Google began developing self-driving car technology in 2009. Their self-driving cars use sensors like video cameras, radar, and laser rangefinders along with detailed maps to navigate roads without human intervention. The software processes sensor data in real-time to detect objects and safely maneuver the vehicle. Google's cars have driven over 200,000 miles with only one minor accident caused by a human driver. While self-driving cars could significantly reduce accidents, challenges remain regarding costs, regulations, and educating people.
Google car ppt
The document discusses Google's self-driving car. It has sensors like LIDAR and cameras that generate 3D maps of the environment. The car uses these maps along with GPS and AI to navigate roads autonomously, obeying traffic laws. Some benefits are reduced accidents and increased road capacity. Challenges include hackers potentially interfering with the system or failures causing accidents. The car aims to safely transport passengers to their destinations using sensors and software.
Driverless cars
Driverless cars are vehicles that can drive themselves from one point to another without human assistance. They use sensors like Mobileye to detect their surroundings, navigation systems to plot routes, and motion planning to move in a way that avoids obstacles while executing its task.
accelerometer based direction controlled wheel chair using gesture technology...
This document describes a project to design a circuit that controls a wheelchair using both gesture technology and a touchpad. The system uses an accelerometer to recognize hand gestures like upward, downward, left and right motions to send control signals via Zigbee to a receiver section connected to a motor driver and DC motors to move the wheelchair in the corresponding directions. The touchpad provides an additional way to control the wheelchair's movement through buttons. The goal is to provide an easy to operate wheelchair for physically disabled people.
accelerometer based direction controlled wheel chair using gesture technology...
This document describes a project to develop a gesture-controlled wheelchair for physically disabled people. An accelerometer sensor is used to recognize hand gestures which are processed by a microcontroller to control the wheelchair's motors. The wheelchair can be operated through palm movements like moving forward, backward, left or right. This provides an easy to use alternative to traditional wheelchairs that don't require dependence on others for operation. The system was tested successfully and some applications and future enhancements are discussed.
Eye directive wheel chair
The document describes an eye movement controlled powered wheelchair for people with physical disabilities. It uses an optical eye tracking system to detect eye movements and translate them to commands to control the wheelchair's movement and direction. Sensors are also included for obstacle detection. The system aims to provide an alternative mobility option for those unable to use traditional interfaces. It consists of a wireless camera, computer for processing eye images, microcontrollers to transmit commands and control motors, and motors attached to the wheelchair. Eye movements are detected using computer vision algorithms and translated to forward, left, or right motions. Additional safety features like obstacle detection and a manual joystick mode are included. The wheelchair aims to improve mobility for quadriplegics and others through a non-invasive
Google Driverless (Autonomous) Car
>DESCRIPTION:
Google Self-driving Cars are developed by Google [X] as part of its project to develop technology for mainly electric cars.
A Self-driving car (driver-less car, unmanned car, autonomous car, robotic car) is a vehicle that is capable of sensing its environment and navigating without human supervision or input. These modern cars are incorporated with finest features which allow them to operate autonomously.
Autonomous and unmanned technology is emerging gradually but continually, with new opportunities for its employment likely to follow in almost every industry which are involve in vehicle manufacturing like Ford, BMW, Audi etc.
Despite of the fact that this technology is emerging but autonomous and unmanned vehicles involve a transfer of control from direct human input to automated or self-control. This has implications for the determination of liability in the event of an incident, and will be a key factor in the pricing and risk transfer.
>MISSION:
According to Jennifer Haroon (Head of Business Operations - Google[X]):
“Our mission is to improve people’s life by transforming ability, and when we talk about transforming ability, one of the main part of that is “Safety”
>HISTORY:
The vision behind the Google Autonomous Cars was began as early as the 1939 New York World’s Fair where visitors were presented a vision of automated cars.
Another concept behind the “Google Driver-less Car” is the advertise from 1950’s showing a family on route trip.
>BEGINNING:
Numerous major companies and research organizations have developed working prototype autonomous vehicles, including Mercedes-Benz, General Motors, Continental Automotive Systems, IAV, Autoliv Inc., Bosch, Nissan, Renault, Toyota, Audi, Volvo, Tesla Motors, Peugeot, AKKA Technologies, Vislab from University of Parma, Oxford University and Google.
The reason behind the popularity of “Google Autonomous Vehicle” is because in May 2014, Google presented a new concept for their driver-less car that had neither a steering wheel nor pedals, and unveiled a fully functioning prototype in December of that year that they planned to test on San Francisco Bay Area roads beginning in 2015.
>TECHNOLOGY:
Google's robotic cars have about $150,000 in equipment. The software installed in Google's cars is named Google Chauffeur as well as including Lasers, Cameras, Radars, and Computing System that makes it into a “Self Driving Vehicle”
>SURVEY:
Expert members of the Institute of Electrical and Electronics Engineers (IEEE) have determined that driver-less vehicles will be the most viable form of intelligent transportation. They estimate that up to 75% of all vehicles will be autonomous by 2040.
Google car harish_badu
Google has developed technology for autonomous vehicles called Google Chauffeur. The project is led by Sebastian Thrun, who previously won the DARPA Grand Challenge and co-invented Google Street View. The cars use Google Maps to provide road information, hardware sensors to detect the environment in real time, and artificial intelligence to make decisions about speed, steering, and braking. The cars have driven nearly 700,000 autonomous miles in road testing, with a new prototype revealed in 2014 that has no steering wheel or pedals and is fully autonomous.
Google car
This document discusses Google's self-driving cars. It explains that self-driving cars can transport passengers from one location to another without human interaction through the use of technologies like GPS, sensors, and software. The advantages of self-driving cars are that they are electric, have quick reaction times, can travel at high speeds, and may cause fewer accidents than human-driven cars. However, challenges include the need to update current legislation, the expense of the software, and gaining acceptance from the public. The document also notes issues with creating performance standards for self-driving cars and references additional sources for more information.
IRJET- Design and Fabrication of Automated Wheel Chair
This document describes the design and fabrication of an automated wheelchair. The wheelchair is designed to help disabled individuals gain mobility. It uses various sensors and a microcontroller to detect obstacles and navigate automatically. The wheelchair can be controlled via a joystick or gestures. It has an ultrasonic sensor to detect obstacles and a GPS module to track its location. When an object is detected, the wheelchair turns right, moves forward a short distance, and stops to avoid collisions. The LCD display provides information like location coordinates and movement directions to the user. The goal is to develop a smart wheelchair that can be safely operated with minimal user input.
IOT operated Wheel chair...YOGI
This document describes an IOT-operated wheelchair that can be controlled through hand gestures. The wheelchair was implemented using an Android smartphone equipped with an accelerometer sensor for gesture recognition, a microcontroller, DC motors, an H-bridge motor driver, and Bluetooth. The wheelchair can move forward, backward, left and right based on gestures detected by the smartphone accelerometer. It is intended to help elderly and physically disabled users navigate inside their homes independently without external assistance. Some potential applications mentioned include use in hospitals and for disabled patients.
Google's Driverless Car
Google Driverless Car has been an innovation of modern day technology. A glimpse of details can be found in the presentation.
Voice control Wheelchair
It consisting Mobile app, Arduino, Bluetooth Receiver module, L293D ic etc. The movement of robot is controlled by the voice which catch by the microphone inside the mobile.
HEAD MOVEMENT WHEEL CHAIR
This document describes a head movement controlled wheelchair that was developed by students to help people with limited mobility. The wheelchair can be controlled through tilt movements of the user's head, allowing paraplegics and quadriplegics to navigate using only head motions. Sensors are able to detect the head tilts and send signals to motors that drive the wheelchair in the corresponding directions. This provides an alternative control method that is easier to use than traditional wheelchairs for those with mobility impairments affecting their limbs. The system was tested successfully through computer simulations.
What's hot (20)
accelerometer based direction controlled wheel chair using gesture technology...
accelerometer based direction controlled wheel chair using gesture technology...
accelerometer based direction controlled wheel chair using gesture technology...
accelerometer based direction controlled wheel chair using gesture technology...
IRJET- Design and Fabrication of Automated Wheel Chair
IRJET- Design and Fabrication of Automated Wheel Chair
Similar to An implementation of motorized wheelchair for handicapped persons
Autonomous Driving- TU Chemnitz
This presentation shows how sensors are being distributed in an autonomous vehicle and how we can extract data from multi-sensor collaboration.
HOOVER PPT REVIEW PAPER (2) (1).pptx
This presentation summarizes a proposed autonomous hoover project using an Arduino. The presentation includes:
- The aim is to design an innovative automatic hoover to provide autonomous vacuuming without remote control.
- A block diagram shows the main components will include an Arduino Uno microcontroller, motor shield to control rear wheels, and ultrasonic sensors for navigation.
- Literature on previous vacuum cleaner robot projects was reviewed dating back to 2013, covering topics like navigation algorithms, visual dirt detection, and lessons learned from commercial products.
- The proposed methodology will use an Arduino motor shield to control the rear wheels, Arduino Uno as the microcontroller, and ultrasonic sensors for obstacle detection and
Abstract-Voice Recognition Whel Chair
The document describes a voice-controlled wheelchair system that allows users to control the wheelchair's movements through spoken commands. The system uses a microphone to receive voice commands, which are sent to a voice recognition processor linked to a PIC microcontroller. The microcontroller controls motors to move the wheelchair forward, backward, left, right, and stop based on the commands. An infrared sensor is also used for obstacle avoidance. The system was prototyped using a small vehicle and further additions are needed for completion.
Wheelchair Automation using Smartphones
This document describes the design of a smart wheelchair that can be controlled via smartphone. It contains sections on the components needed including an Arduino microcontroller, Bluetooth module, ultrasonic sensor, and DC motors. The wheelchair is designed to be comfortable, safe, and enable users to participate in daily activities. It has advantages like low cost, advanced technology, and stability. Future improvements could include control via head motion, gestures, eye tracking, or voice commands.
project stage I.pptx
This document describes a project to design and build a solar-powered beach cleaning robot. The robot will use solar energy to power electric motors and a wireless remote control to clean beaches in an automated way. The project aims to reduce human labor for beach cleaning and prevent waste from entering oceans. Key components of the robot include solar panels, batteries, motors, conveyor belts, clamps to pick up trash, and a storage compartment. The project will be implemented in two phases: hardware construction and software/programming. Work will include selecting materials, building the frame, and programming controls using Arduino. The robot is intended to provide an affordable and eco-friendly alternative to manual beach cleaning.
Androd technology based speech processing self assistive device and IoT enabl...
This document presents a speech-based assistive device and IoT-enabled home automation system. The system uses an Android app to process voice commands from the user and convert them to text. The text is compared to trained words to generate control signals. The control signals are transmitted via Bluetooth to a Raspberry Pi controller that directs the movement of a voice-controlled wheelchair and controls home appliances based on the user's voice commands. The system aims to increase the quality of life and independence of paralyzed patients by allowing them to control their wheelchair and home using only their voice.
HAND GESTURE CONTROLLED WHEEL CHAIR
This project is to develop a wheel chair for physically disabled people
The wheel chair is controlled by hand movement/hand gestures
The gestures are recognized by an accelerometer sensor
An ultrasonic sensor is used to detect the obstacles in front of the chair
The signals from the sensors are processed, and the wheel chair is controlled by Atmega-328 micro controller
Na yatr report
The document summarizes a project report for an autonomous robot named NA-YATR submitted to The Robotics Club. The report describes the components used including Arduino, motors, sensors, and software. It explains the working of the robot using A* pathfinding and ultrasonic sensors for obstacle avoidance. Experimental results showed the robot could efficiently detect obstacles and change paths to reach its destination. Future enhancements are discussed to improve functionality.
BATCH 28 PHASE 3.pptx
1. The document describes a project to design an obstacle avoidance robot using an Arduino.
2. An ultrasonic sensor is used to detect obstacles and the Arduino controls a servo motor to change the robot's direction when obstacles are sensed.
3. The objectives are to design a model car that can avoid obstacles detected by the ultrasonic sensor and programmed using Arduino software.
PPT Format For Project Stage - 1 Presentation 2022-23.pptx
The document provides details of a project to develop a hand gesture controlled wheelchair. It includes an introduction describing the need for such a wheelchair and how existing systems have limitations. It outlines the aims and objectives of making the wheelchair simple, cheap and easy to operate. It also includes sections on the literature survey, system development including block diagrams, circuit diagrams, PCB layout, flowchart, component list and costing. The document discusses the advantages and disadvantages as well as potential applications and includes a project schedule. It provides conclusions on capabilities and potential future improvements with references cited.
final review_sri
The document describes a humanoid bipedal robot project that was designed using principles of zero momentum point and passive dynamics. The robot uses various sensors such as object detection, motion, and touch sensors. An ATMEL 89S52 microcontroller is used to interface the motor drivers and sensors. The challenges of using a basic microcontroller board for interfacing multiple components are discussed. The project aims to be a starting point for further research in humanoid design.
Automatic Driverless Car Waymo Google Project.pptx
Waymo is a self-driving technology company that was originally a project within Google. It has developed fully self-driving vehicles that can navigate without human intervention using sensors and AI. Some key advantages of autonomous vehicles include reducing accidents caused by human error, easing traffic congestion through platooning, and providing mobility for those unable to drive. However, there are also disadvantages such as high costs for research and development, safety and security concerns if systems have unexpected errors, and potential for jobs to be displaced.
List Of Projects & Publication Ranjan
Ranjan Kumar Mishra has been involved in the design and development of various automation, robotic, and medical systems. These include automated manufacturing systems, non-destructive testing systems, surgical manipulation robots, laboratory automation, and mechanisms. He has published over 20 papers in peer-reviewed conferences and books on topics ranging from modular robot design to medical robotic systems for cancer treatment.
EYE CONTROLLED WHEEL CHAIR USING RASPBERRY PI
This is the self controlled wheel chair which does not require any human effort.It will move according with pupil.
International conference on electronics and communication systems 2016 (2)
The Control Algorithm for Adaptive Cruise Control (ACC) System is developed in NI Based LabVIEW Platform.
Voice and touchscreen operated wheelchair ppt
it is a smart wheelchair which uses voice and bluetooth commands . Also consists of temperature and heartbeat sensors for continuous monitoring by the doctor.
Modeling and Manufacturing of Powered vehicle for physically challenged people
This vehicle is suitable for physically challenged or disabled people. I proposed complete
customized solutions for physically challenged drivers and patents also. This proposed vehicle
successfully dealing with electric and Hybrid vehicle Conversions. In the market they are so many
vehicles are designed for physically challenged peoples but my proposed system is a luxurious vehicle.
Luxurious means vehicle which is automotive electrical vehicle and provide good hospitality to PCP’s.
Vehicle conversion products which enable the person to drive a vehicle with the help of his/her hands or
using only one limb. With a disability, it can be very difficult to drive. Hand controls can make this much
easier with more control and faster response times. Vehicle hand controls are suitable for almost any
make and model car on the road today.
Voiceandaccelerometercontrolledwheelchair
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology.
Semi Autonomous Vehicle For Pot Hole, Humps And Possible Collision Detection...
The maintenance of the road is one of the significant issues in the developing countries. Identification of potholes and humps not only help drivers to keep away from disaster but it also alerts the concerned authorities about the presence of potholes on which required measures should be taken to eliminate it. Accidents due to pothole and hump and sudden interference of obstructions on the road are a cause of majority of road accidents in India and in many other developing countries. The problems due to potholes increase to a greater extent especially in bad weathers and at night and when driver is new to the road. It is necessity of people to have well maintained roads to be able to avail a safe travel. Our aim is to build a vehicle which is capable of identifying potholes humps and movement of humans or animals on the road at a distance and alerting about those to the driver in order to reduce accidents. An HD camera along with an ultrasonic sensor and IR sensor is used in order to provide necessary data from the real world to the car. The semiautonomous vehicle is capable of reaching the given destination safely and intelligently thus avoiding the risk of accident. Many existing algorithms like potholes, humps, lane, animals, human detection, traffic signal and sign detection are combined together to provide the necessary control to the car.
A9399109119
This document describes an automated gesture-based wireless wheelchair control system using an accelerometer. The system uses an accelerometer sensor to detect hand gestures which are converted to electrical signals and transmitted wirelessly. The receiver then converts the signals and uses them to control a wheelchair's movement and direction. The system was developed to help paralyzed people move independently using hand gestures to tilt the wheelchair forward, backward, left, right, or stop. It allows for movement over 200 yards and detects obstacles using an ultrasonic sensor.
Similar to An implementation of motorized wheelchair for handicapped persons (20)
Androd technology based speech processing self assistive device and IoT enabl...
Androd technology based speech processing self assistive device and IoT enabl...
PPT Format For Project Stage - 1 Presentation 2022-23.pptx
PPT Format For Project Stage - 1 Presentation 2022-23.pptx
Automatic Driverless Car Waymo Google Project.pptx
Automatic Driverless Car Waymo Google Project.pptx
International conference on electronics and communication systems 2016 (2)
International conference on electronics and communication systems 2016 (2)
Modeling and Manufacturing of Powered vehicle for physically challenged people
Modeling and Manufacturing of Powered vehicle for physically challenged people
Semi Autonomous Vehicle For Pot Hole, Humps And Possible Collision Detection...
Semi Autonomous Vehicle For Pot Hole, Humps And Possible Collision Detection...
Recently uploaded
bank management system in java and mysql report1.pdf
truth is high but higher still is truth full living
Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
Recycled Concrete Aggregate in Construction Part III
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
Technical Drawings introduction to drawing of prisms
Method of technical Drawing of prisms,and cylinders.
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
22CYT12-Unit-V-E Waste and its Management.ppt
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
The smart irrigation system represents an innovative approach to optimize water usage in agricultural and landscaping practices. The integration of cutting-edge technologies, including sensors, actuators, and data analysis, empowers this system to provide accurate monitoring and control of irrigation processes by leveraging real-time environmental conditions. The main objective of a smart irrigation system is to optimize water efficiency, minimize expenses, and foster the adoption of sustainable water management methods. This paper conducts a systematic risk assessment by exploring the key components/assets and their functionalities in the smart irrigation system. The crucial role of sensors in gathering data on soil moisture, weather patterns, and plant well-being is emphasized in this system. These sensors enable intelligent decision-making in irrigation scheduling and water distribution, leading to enhanced water efficiency and sustainable water management practices. Actuators enable automated control of irrigation devices, ensuring precise and targeted water delivery to plants. Additionally, the paper addresses the potential threat and vulnerabilities associated with smart irrigation systems. It discusses limitations of the system, such as power constraints and computational capabilities, and calculates the potential security risks. The paper suggests possible risk treatment methods for effective secure system operation. In conclusion, the paper emphasizes the significant benefits of implementing smart irrigation systems, including improved water conservation, increased crop yield, and reduced environmental impact. Additionally, based on the security analysis conducted, the paper recommends the implementation of countermeasures and security approaches to address vulnerabilities and ensure the integrity and reliability of the system. By incorporating these measures, smart irrigation technology can revolutionize water management practices in agriculture, promoting sustainability, resource efficiency, and safeguarding against potential security threats.
Recently uploaded (20)
bank management system in java and mysql report1.pdf
bank management system in java and mysql report1.pdf
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
Recycled Concrete Aggregate in Construction Part III
Recycled Concrete Aggregate in Construction Part III
Technical Drawings introduction to drawing of prisms
Technical Drawings introduction to drawing of prisms
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
Harnessing WebAssembly for Real-time Stateless Streaming Pipelines
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning an...
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
ML Based Model for NIDS MSc Updated Presentation.v2.pptx
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
2. Operations Strategy in a Global Environment.ppt
2. Operations Strategy in a Global Environment.ppt
Generative AI leverages algorithms to create various forms of content
Generative AI leverages algorithms to create various forms of content
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
A SYSTEMATIC RISK ASSESSMENT APPROACH FOR SECURING THE SMART IRRIGATION SYSTEMS
An implementation of motorized wheelchair for handicapped persons
- 1. AN IMPLEMENTATION OF MOTORIZED WHEELCHAIR FOR HANDICAPPED PERSONS Author’s Md. Raseduzzaman Ruman
- 2. Agenda ❑ Project Goal ❑ Block Diagram Of Design ❑ Results & Demonstration ❑ Summary ❑ Question/Answer
- 3. Project Goal • Stress free life of physically disable people • Autonomous android control System • User friendly • Built a customize android app • Obstacle detection • Crack detection • Living being sensing • Capable of taking 110 kilogram weight
- 4. Block diagram of Android control wheelchair movement Activating The motor Arduino Uno Android Application Activation of relay pin BT-HC 05 Home applications are controlled Wheelchair Movement
- 5. Block diagram of procedure of Android control voice directed display and living being sensing Android Application for voice display Sensing living being by PIR Bluetooth Module Arduino Uno Voice is showed via display Buzzer is activated with sensing sound
- 6. Block diagram of procedure of obstacle sensing using sonar Obstacle is sensed by sonar Arduino Uno Distance of obstacle is showed via display
- 7. Block diagram of procedure of crack/hole sensing using IR Hole/Crack sensed by IR sensor ATmega32 Microcontroller Makes signal via LED
- 8. Flowchart of android control wheelchair operation
- 9. Design parameter Driver Wheel Caster Wheel Diameter 10inch 4inch Capability of Weight 500kg 100kg Material Solid Rubber Plastic Diameter of front wheel 5inch Diameter of back wheel 10inch Android app interface Wheelchair
- 10. Result Analysis Direction of Movement T-1 T-2 T-3 Front 80 100 100 Back 100 80 100 Right 80 100 100 Left 100 80 60 Accuracy per trial 90 90 90
- 11. Future Scope • Gesture based wheelchair • Safety aid can be add for patient extra care • Increase the average speed of the device • Improve the navigation technique • Increase the weight capacity • Use a caterpillar tracks • GSM can be used for perfect communication
- 12. References • K. E Karim, H. A. Nahiyan, H. Ahmed, “Design and Simulation of an Automated Wheelchair with Vertically Adjustable Seat”, International Conference on Mechanical, Industrial and Energy Engineering, Khulna, Bangladesh, 2014. • R. Achkar, G. A. Haidar, H. Dourgham, D. Semaan, H. Araji, “Mobile Controlled Wheelchair”, IEEE European Modelling Symposium, 2015. • A. N. Madheswari, S. Latha, M. Iswarya, “Solar Powered Wheel Chair with Voice Controller for Physically Challenged Persons”, 2nd International Conference on Communication and Electronics Systems (ICCES 2017). • R. Poot, V. Chi, L. Narvaez, E. Llanes, M. Canche, “Design and Construction of a Prototype of an Electronic Wheelchair Drive for People with Motor Disabilities” IJCSNS International Journal of Computer Science and Network Security, Vol. 10 No. 7, July 2010. • M. Asgar, M. Badra, K. Irshad, S. Aftab, “Automated Innovative Wheelchair”, International Journal of Information Technology Convergence and Services (IJITCS), Vol. 3 No. 6, December 2013.
- 13. Thank You ????