Brain Controlled Car for Physically Challenged using Artificial IntelligenceRamya Mk
The document describes a proposed brain-controlled car for disabled drivers using artificial intelligence. The system would use an electroencephalogram (EEG) helmet to monitor the driver's brain waves and recognize patterns to control the car. It would integrate brain-computer interface signals with automatic security and navigation systems. The security system would ensure the driver is in a stable state before allowing automatic control of steering, acceleration, and braking. If developed affordably, this type of brain-controlled car could help the disabled gain independent transportation.
This document describes a proposed "brain driven car" that would be controlled solely through brain-computer interface technology to help disabled individuals. The car would use EEG sensors to monitor the driver's brain activity and interpret their thoughts to control vehicle functions like steering and navigation without physical movement. It would integrate an automatic security system to monitor the driver's alertness and an automatic navigation system to choose routes. The goal is for the technology to advance to a point where it can become cost effective and enable greater independence for disabled people.
Brain Controlled car for disabled using AINikkethanR
This document describes a brain-controlled car for disabled individuals using artificial intelligence. The car relies only on the driver's thoughts through a brain computer interface and does not require physical movement. It has an automatic security system that identifies the driver through video and thermal images before activating. The car also has an automatic navigation system that stores routes, analyzes maps, and drives the car automatically using sensors when the driver's brain waves drop below a threshold, assisting disabled individuals.
Number Plate Recognition (NPR) is a computer vision technology that captures images of vehicles using a camera. It extracts the vehicle's number plate to identify the owner's details by matching it to a database. The system works by capturing images, preprocessing them, detecting the number plate using YOLO, recognizing the characters, and outputting the results to a database. It has benefits like saving time, reducing errors, and aiding in tracking criminals. Potential future improvements include enhancing plate recognition for different fonts/sizes and speeding up the system.
Eye Tracking Based Human - Computer InteractionSharath Raj
This Presentation aims at explaining how eye tracking works and the usage of Houghman Circle Detection Algorithm in order to detect the iris.
https://www.picostica.com
Driver drowsiness detection is a car safety technology which helps prevent accidents caused by the driver getting drowsy. Various studies have suggested that around 20% of all road accidents are fatigue-related, up to 50% on certain roads
Vision based system for monitoring the loss of attention in automotive driverVinay Diddi
This document describes a vision-based system for monitoring driver attention and drowsiness in automobiles. It discusses using a camera and image processing techniques like OpenCV, Haar classifiers, and template matching to detect when a driver's eyes are closed, indicating loss of attention. The system is implemented on a Raspberry Pi board using Raspbian OS. Eye detection is done using a Haar classifier trained on eye images. Template matching is also used to track eye position. When the eyes are detected as closed for too long and head position exceeds thresholds from an accelerometer, a buzzer is activated to alert the driver. The goal is to develop a low-cost drowsiness detection system for improving road safety.
The document describes a 3-task process to detect parking spaces using images and 3D point cloud data:
1. Detect patterns in 2D images to generate a parking space map, and register corresponding points between the 2D image and 3D point cloud.
2. Segment objects in the point cloud using clustering methods and apply supervised learning with logistic regression to classify objects as cars or not.
3. Combine the 2D parking map with occupied spaces identified from the 3D data, and improve the map by drawing rectangles around predicted car locations.
Brain Controlled Car for Physically Challenged using Artificial IntelligenceRamya Mk
The document describes a proposed brain-controlled car for disabled drivers using artificial intelligence. The system would use an electroencephalogram (EEG) helmet to monitor the driver's brain waves and recognize patterns to control the car. It would integrate brain-computer interface signals with automatic security and navigation systems. The security system would ensure the driver is in a stable state before allowing automatic control of steering, acceleration, and braking. If developed affordably, this type of brain-controlled car could help the disabled gain independent transportation.
This document describes a proposed "brain driven car" that would be controlled solely through brain-computer interface technology to help disabled individuals. The car would use EEG sensors to monitor the driver's brain activity and interpret their thoughts to control vehicle functions like steering and navigation without physical movement. It would integrate an automatic security system to monitor the driver's alertness and an automatic navigation system to choose routes. The goal is for the technology to advance to a point where it can become cost effective and enable greater independence for disabled people.
Brain Controlled car for disabled using AINikkethanR
This document describes a brain-controlled car for disabled individuals using artificial intelligence. The car relies only on the driver's thoughts through a brain computer interface and does not require physical movement. It has an automatic security system that identifies the driver through video and thermal images before activating. The car also has an automatic navigation system that stores routes, analyzes maps, and drives the car automatically using sensors when the driver's brain waves drop below a threshold, assisting disabled individuals.
Number Plate Recognition (NPR) is a computer vision technology that captures images of vehicles using a camera. It extracts the vehicle's number plate to identify the owner's details by matching it to a database. The system works by capturing images, preprocessing them, detecting the number plate using YOLO, recognizing the characters, and outputting the results to a database. It has benefits like saving time, reducing errors, and aiding in tracking criminals. Potential future improvements include enhancing plate recognition for different fonts/sizes and speeding up the system.
Eye Tracking Based Human - Computer InteractionSharath Raj
This Presentation aims at explaining how eye tracking works and the usage of Houghman Circle Detection Algorithm in order to detect the iris.
https://www.picostica.com
Driver drowsiness detection is a car safety technology which helps prevent accidents caused by the driver getting drowsy. Various studies have suggested that around 20% of all road accidents are fatigue-related, up to 50% on certain roads
Vision based system for monitoring the loss of attention in automotive driverVinay Diddi
This document describes a vision-based system for monitoring driver attention and drowsiness in automobiles. It discusses using a camera and image processing techniques like OpenCV, Haar classifiers, and template matching to detect when a driver's eyes are closed, indicating loss of attention. The system is implemented on a Raspberry Pi board using Raspbian OS. Eye detection is done using a Haar classifier trained on eye images. Template matching is also used to track eye position. When the eyes are detected as closed for too long and head position exceeds thresholds from an accelerometer, a buzzer is activated to alert the driver. The goal is to develop a low-cost drowsiness detection system for improving road safety.
The document describes a 3-task process to detect parking spaces using images and 3D point cloud data:
1. Detect patterns in 2D images to generate a parking space map, and register corresponding points between the 2D image and 3D point cloud.
2. Segment objects in the point cloud using clustering methods and apply supervised learning with logistic regression to classify objects as cars or not.
3. Combine the 2D parking map with occupied spaces identified from the 3D data, and improve the map by drawing rectangles around predicted car locations.
This document presents a literature review and proposed work plan for face recognition using a back propagation neural network. It summarizes the Viola-Jones face detection algorithm which uses Haar features and an integral image for real-time detection. The algorithm has high detection rates with low false positives. Future work will apply back propagation neural networks to extract features and recognize faces from a database of facial images in order to build a facial recognition system.
Facial Emotion Recognition: A Deep Learning approachAshwinRachha
Neural Networks lie at the apogee of Machine Learning algorithms. With a large set of data and automatic feature selection and extraction process, Convolutional Neural Networks are second to none. Neural Networks can be very effective in classification problems.
Facial Emotion Recognition is a technology that helps companies and individuals evaluate customers and optimize their products and services by most relevant and pertinent feedback.
Driver drowsiness monitoring system using visual behavior and Machine Learning.AasimAhmedKhanJawaad
Drowsy driving is one of the major causes of road accidents and death. Hence, detection of
driver’s fatigue and its indication is an active research area. Most of the conventional methods are
either vehicle based, or behavioral based or physiological based. Few methods are intrusive and
distract the driver, some require expensive sensors and data handling. Therefore, in this study, a low
cost, real time driver’s drowsiness detection system is developed with acceptable accuracy. In the
developed system, a webcam records the video and driver’s face is detected in each frame employing
image processing techniques. Facial landmarks on the detected face are pointed and subsequently the
eye aspect ratio, mouth opening ratio and nose length ratio are computed and depending on their
values, drowsiness is detected based on developed adaptive thresholding. Machine learning
algorithms have been implemented as well in an offline manner. A sensitivity of 95.58% and
specificity of 100% has been achieved in Support Vector Machine based classification.
This document outlines an object detection system for detecting traffic violations using vehicle number plate identification. It discusses introducing object detection and its applications in traffic management. It describes the problem statement of relying on manual labor. It then explains the modules used in the system like authentication, webcam operation, and AI training. It discusses using TensorFlow and GAN for the object detection model and COCO dataset for training. Finally, it provides examples of applications like OCR, self-driving cars, and tracking objects and concludes with improving number plate extraction for low light images.
IRJET- Emotion based Music Recommendation SystemIRJET Journal
This document discusses an emotion-based music recommendation system that uses facial expression recognition to determine a user's mood and generate an appropriate playlist. It first discusses existing approaches to emotion detection in music, including models that represent emotions in two-dimensional spaces of arousal and valence. It then outlines the objectives of developing a new system using machine learning approaches to detect emotions from facial images in order to provide personalized music recommendations based on the user's mood. Finally, it reviews several related works that use techniques like Active Appearance Models, Bezier curve fitting, and support vector machines for facial expression analysis and emotion recognition from images.
this presentation will give an idea how the traffic monitoring authority and the system is working to monitor the traffic in big cities through video footage.
The document discusses the Eye Gaze system, which allows people with physical disabilities to control devices with their eyes. It describes how the system works by tracking a user's eye movements to select on-screen options. The document outlines who can benefit from the system, its various components and menus, applications, and future advancements like improved portability and tracking for limited eye control. It concludes that eye tracking interfaces can aid application control if used sensibly given the voluntary and involuntary nature of eye movements.
Eye gaze tracking is a technique to track a person's eye movements and point of gaze. It has applications in human-computer interaction, medical research, and surveillance. The document describes the process of eye gaze tracking including image enhancement using Laplacian operators, k-means clustering for image segmentation, binarization, and morphological opening to detect iris position. The work so far has detected iris position in three directions (left, right, center) using a still image and future work aims to detect iris position in all directions and implement the technique for video input to develop an eye gaze-based human-computer interface.
This document discusses using biometrics and neural networks for face recognition. It describes using facial feature coordinates like nose width and eye positions as inputs to train a neural network to identify people from images. The author explains normalizing the data, training the network through supervised learning, and testing it to model the function relating facial inputs to identity outputs. Common face recognition algorithms mentioned include PCA with Mahalanobis distance and half-face or eigen-eyes approaches. The goal is to create a basic trainable system for face verification using Neuroph Studio.
This document discusses the development of a tactile pattern display (TPaD) technology that adds haptic feedback to touch screens. TPaDs use ultrasonic vibrations to vary the friction between a user's finger and the touch surface, creating the illusion of different textures. This allows touch screens to provide tactile feedback without changing the visual display. TPaDs have applications in assistive technology, virtual reality, advertising, and more. However, reducing their high power consumption is needed for widespread use on mobile devices.
Face recognition technology uses machine learning algorithms to identify or verify a person's identity from digital images or video frames. The process involves detecting faces, applying preprocessing techniques like filtering and scaling, training classifiers using labeled face images, and then classifying new faces. Common machine learning algorithms used include K-nearest neighbors, naive Bayes, decision trees, and locally weighted learning. The proposed system detects faces, builds a tabular dataset from pixel values, trains classifiers, and evaluates performance on a test set. Software applies techniques like detection, alignment, normalization, and matching to encode faces for comparison. Face recognition has advantages like convenience and low cost, and applications in security, banking, and more.
The document is a seminar report on an EMO player that generates playlists based on a user's facial expressions. It includes sections on introduction, literature review, current music systems and their limitations, the proposed system, Viola-Jones algorithm, experimental results, conclusion, applications, future scope, and references. The proposed system aims to automatically generate playlists based on detected facial expressions in order to reduce the effort required for manual playlist generation. It uses modules for emotion feature extraction from faces, audio feature extraction, emotion-audio integration, and a classifier to map emotions to music selections.
2016 Project.
A finger wore device helpful for blind people.
Used to know the color and currency and etc.,
Prepared by Ch.Durga Rao, Naidu.S.Piyadarshini.
This document describes a proposed brain-controlled car for disabled individuals. The car would use an EEG helmet and brain-computer interface to allow disabled drivers to control the car using only their thoughts. The car would integrate various sensors and have automatic navigation capabilities. It would use artificial intelligence to analyze the driver's brain signals and compare them to a database in order to control the car. The goal is to create a car that would allow disabled people greater independence and mobility.
This document discusses using fingerprint biometrics for authentication in ATM machines. It defines ATMs and outlines issues with current identification methods like stolen cards and shared PINs. Fingerprint biometrics could solve these issues through multi-factor authentication combining cards, PINs, and fingerprints. The document then covers fingerprint patterns, how fingerprint scanners work to enroll and verify prints, and the system design of a biometric ATM including hardware and software components. Potential advantages are discussed like increased security over shared passwords, with disadvantages including higher costs.
The document describes a robotic car project that uses an 8051 microcontroller, LCD display, and common components. The robotic car can be controlled with switches and has a program saved to non-volatile memory. It uses a gear system and stepper motor for precise movement. The car has applications in monitoring hazardous areas, security, lifting weights, and military and detection uses.
The document is a seminar report on the topic of computer vision. It provides an overview of computer vision, discussing its history, applications in various fields like robotics, medicine, security, transportation, and human-computer interaction. It also describes the challenges of computer vision as an inverse problem and provides examples of computer vision systems used in domains like industrial automation, image databases, and more.
This document presents a real-time hand gesture recognition method. It discusses algorithms like 3D model-based, skeletal-based, and appearance-based for hand gesture recognition. The process involves hand detection, tracking, segmentation, and recognition. Features, advantages, and applications are also covered. The method uses fast hand tracking, segmentation, and multi-scale feature extraction for accurate recognition. It concludes with discussing potential for continued progress in areas like sign language recognition and accessibility.
Slide for brain controlled artificial legsiva23143
This document describes a brain-controlled artificial leg system. There are four main types of brain waves - beta, alpha, theta, and delta - that are measured by an electrode cap placed on the skull. The brain waves are amplified, converted to digital signals, and processed to identify patterns. The signals are then sent to a microcontroller to control the movements of an artificial leg, such as walking and running. The brain-controlled artificial leg system is easier and cheaper to construct than normal artificial legs, and gives users full control over the artificial leg.
Artificial intelligence (AI) involves using algorithms and computer systems to perform tasks normally requiring human intelligence, such as problem-solving and decision-making. The document discusses AI's goals of understanding human intelligence and creating useful programs to perform expert tasks. It also provides examples of AI applications in robotics, transportation, surgery, manufacturing, traffic control, healthcare, research, and the military. While AI shows promise, challenges remain in fully understanding and recreating human-level intelligence using technology.
This document presents a literature review and proposed work plan for face recognition using a back propagation neural network. It summarizes the Viola-Jones face detection algorithm which uses Haar features and an integral image for real-time detection. The algorithm has high detection rates with low false positives. Future work will apply back propagation neural networks to extract features and recognize faces from a database of facial images in order to build a facial recognition system.
Facial Emotion Recognition: A Deep Learning approachAshwinRachha
Neural Networks lie at the apogee of Machine Learning algorithms. With a large set of data and automatic feature selection and extraction process, Convolutional Neural Networks are second to none. Neural Networks can be very effective in classification problems.
Facial Emotion Recognition is a technology that helps companies and individuals evaluate customers and optimize their products and services by most relevant and pertinent feedback.
Driver drowsiness monitoring system using visual behavior and Machine Learning.AasimAhmedKhanJawaad
Drowsy driving is one of the major causes of road accidents and death. Hence, detection of
driver’s fatigue and its indication is an active research area. Most of the conventional methods are
either vehicle based, or behavioral based or physiological based. Few methods are intrusive and
distract the driver, some require expensive sensors and data handling. Therefore, in this study, a low
cost, real time driver’s drowsiness detection system is developed with acceptable accuracy. In the
developed system, a webcam records the video and driver’s face is detected in each frame employing
image processing techniques. Facial landmarks on the detected face are pointed and subsequently the
eye aspect ratio, mouth opening ratio and nose length ratio are computed and depending on their
values, drowsiness is detected based on developed adaptive thresholding. Machine learning
algorithms have been implemented as well in an offline manner. A sensitivity of 95.58% and
specificity of 100% has been achieved in Support Vector Machine based classification.
This document outlines an object detection system for detecting traffic violations using vehicle number plate identification. It discusses introducing object detection and its applications in traffic management. It describes the problem statement of relying on manual labor. It then explains the modules used in the system like authentication, webcam operation, and AI training. It discusses using TensorFlow and GAN for the object detection model and COCO dataset for training. Finally, it provides examples of applications like OCR, self-driving cars, and tracking objects and concludes with improving number plate extraction for low light images.
IRJET- Emotion based Music Recommendation SystemIRJET Journal
This document discusses an emotion-based music recommendation system that uses facial expression recognition to determine a user's mood and generate an appropriate playlist. It first discusses existing approaches to emotion detection in music, including models that represent emotions in two-dimensional spaces of arousal and valence. It then outlines the objectives of developing a new system using machine learning approaches to detect emotions from facial images in order to provide personalized music recommendations based on the user's mood. Finally, it reviews several related works that use techniques like Active Appearance Models, Bezier curve fitting, and support vector machines for facial expression analysis and emotion recognition from images.
this presentation will give an idea how the traffic monitoring authority and the system is working to monitor the traffic in big cities through video footage.
The document discusses the Eye Gaze system, which allows people with physical disabilities to control devices with their eyes. It describes how the system works by tracking a user's eye movements to select on-screen options. The document outlines who can benefit from the system, its various components and menus, applications, and future advancements like improved portability and tracking for limited eye control. It concludes that eye tracking interfaces can aid application control if used sensibly given the voluntary and involuntary nature of eye movements.
Eye gaze tracking is a technique to track a person's eye movements and point of gaze. It has applications in human-computer interaction, medical research, and surveillance. The document describes the process of eye gaze tracking including image enhancement using Laplacian operators, k-means clustering for image segmentation, binarization, and morphological opening to detect iris position. The work so far has detected iris position in three directions (left, right, center) using a still image and future work aims to detect iris position in all directions and implement the technique for video input to develop an eye gaze-based human-computer interface.
This document discusses using biometrics and neural networks for face recognition. It describes using facial feature coordinates like nose width and eye positions as inputs to train a neural network to identify people from images. The author explains normalizing the data, training the network through supervised learning, and testing it to model the function relating facial inputs to identity outputs. Common face recognition algorithms mentioned include PCA with Mahalanobis distance and half-face or eigen-eyes approaches. The goal is to create a basic trainable system for face verification using Neuroph Studio.
This document discusses the development of a tactile pattern display (TPaD) technology that adds haptic feedback to touch screens. TPaDs use ultrasonic vibrations to vary the friction between a user's finger and the touch surface, creating the illusion of different textures. This allows touch screens to provide tactile feedback without changing the visual display. TPaDs have applications in assistive technology, virtual reality, advertising, and more. However, reducing their high power consumption is needed for widespread use on mobile devices.
Face recognition technology uses machine learning algorithms to identify or verify a person's identity from digital images or video frames. The process involves detecting faces, applying preprocessing techniques like filtering and scaling, training classifiers using labeled face images, and then classifying new faces. Common machine learning algorithms used include K-nearest neighbors, naive Bayes, decision trees, and locally weighted learning. The proposed system detects faces, builds a tabular dataset from pixel values, trains classifiers, and evaluates performance on a test set. Software applies techniques like detection, alignment, normalization, and matching to encode faces for comparison. Face recognition has advantages like convenience and low cost, and applications in security, banking, and more.
The document is a seminar report on an EMO player that generates playlists based on a user's facial expressions. It includes sections on introduction, literature review, current music systems and their limitations, the proposed system, Viola-Jones algorithm, experimental results, conclusion, applications, future scope, and references. The proposed system aims to automatically generate playlists based on detected facial expressions in order to reduce the effort required for manual playlist generation. It uses modules for emotion feature extraction from faces, audio feature extraction, emotion-audio integration, and a classifier to map emotions to music selections.
2016 Project.
A finger wore device helpful for blind people.
Used to know the color and currency and etc.,
Prepared by Ch.Durga Rao, Naidu.S.Piyadarshini.
This document describes a proposed brain-controlled car for disabled individuals. The car would use an EEG helmet and brain-computer interface to allow disabled drivers to control the car using only their thoughts. The car would integrate various sensors and have automatic navigation capabilities. It would use artificial intelligence to analyze the driver's brain signals and compare them to a database in order to control the car. The goal is to create a car that would allow disabled people greater independence and mobility.
This document discusses using fingerprint biometrics for authentication in ATM machines. It defines ATMs and outlines issues with current identification methods like stolen cards and shared PINs. Fingerprint biometrics could solve these issues through multi-factor authentication combining cards, PINs, and fingerprints. The document then covers fingerprint patterns, how fingerprint scanners work to enroll and verify prints, and the system design of a biometric ATM including hardware and software components. Potential advantages are discussed like increased security over shared passwords, with disadvantages including higher costs.
The document describes a robotic car project that uses an 8051 microcontroller, LCD display, and common components. The robotic car can be controlled with switches and has a program saved to non-volatile memory. It uses a gear system and stepper motor for precise movement. The car has applications in monitoring hazardous areas, security, lifting weights, and military and detection uses.
The document is a seminar report on the topic of computer vision. It provides an overview of computer vision, discussing its history, applications in various fields like robotics, medicine, security, transportation, and human-computer interaction. It also describes the challenges of computer vision as an inverse problem and provides examples of computer vision systems used in domains like industrial automation, image databases, and more.
This document presents a real-time hand gesture recognition method. It discusses algorithms like 3D model-based, skeletal-based, and appearance-based for hand gesture recognition. The process involves hand detection, tracking, segmentation, and recognition. Features, advantages, and applications are also covered. The method uses fast hand tracking, segmentation, and multi-scale feature extraction for accurate recognition. It concludes with discussing potential for continued progress in areas like sign language recognition and accessibility.
Slide for brain controlled artificial legsiva23143
This document describes a brain-controlled artificial leg system. There are four main types of brain waves - beta, alpha, theta, and delta - that are measured by an electrode cap placed on the skull. The brain waves are amplified, converted to digital signals, and processed to identify patterns. The signals are then sent to a microcontroller to control the movements of an artificial leg, such as walking and running. The brain-controlled artificial leg system is easier and cheaper to construct than normal artificial legs, and gives users full control over the artificial leg.
Artificial intelligence (AI) involves using algorithms and computer systems to perform tasks normally requiring human intelligence, such as problem-solving and decision-making. The document discusses AI's goals of understanding human intelligence and creating useful programs to perform expert tasks. It also provides examples of AI applications in robotics, transportation, surgery, manufacturing, traffic control, healthcare, research, and the military. While AI shows promise, challenges remain in fully understanding and recreating human-level intelligence using technology.
Presentation on driverless cars by shahin hussan Shahinhussan
This document discusses driverless car technologies including how cars will detect traffic lights using light sensors, technologies that enable fully autonomous systems like ABS and electronic stability control, and how vehicles will be controlled. It also covers cruise control, night vision, lane departure warning, adaptive high beams, self-parking, rear cameras, and automated guided vehicle systems. The goal of driverless cars is to reduce accidents by taking on driving tasks and allowing occupants to rest or focus on other things.
This document summarizes a research paper on brain-controlled artificial legs. It describes the key components of the system, which includes an electrode cap to detect brain signals, an amplifier to strengthen the weak signals, an analog-to-digital converter to convert the analog signals to digital, and a signal processor to extract parameters and identify patterns in the brain waves. The system is able to recognize user intentions like walking or running based on their alpha and beta brain wave patterns and control the artificial legs accordingly. This provides an affordable alternative to traditional artificial legs that gives users full control through their thoughts alone.
Carbon capture and storage aims to prevent CO2 emissions from large stationary sources like power plants from entering the atmosphere. It involves capturing about 90% of CO2 emissions, compressing and transporting it, then permanently storing it underground. CO2 can be stored in deep saline formations or depleted oil and gas fields, where it becomes trapped between rock grains and in the pores of reservoir rocks. Several CCS projects have already stored millions of tons of CO2 underground for decades. While CCS could help slow the rise of atmospheric CO2, it is still a relatively new technology that requires further development and legal/regulatory frameworks to become widely implemented.
Barry Jones, General Manager - Asia Pacific for the Global CCS Institute, provides an overview of carbon capture and storage technology including its rationale and a summary of current projects. The presentation also examines impediments to its deployment and recommendations for how to overcome them.
Piezoelectricity involves using crystals that generate an electric charge in response to applied mechanical stress. Some materials that exhibit piezoelectricity include quartz, bone, wood, and synthetic ceramics. The document discusses the piezoelectric effect and electromechanical effect at the crystal structure level. It also provides the mathematical descriptions and constitutive equations for relating mechanical and electrical behavior in piezoelectric materials. The main applications discussed are piezoelectric actuators and transducers used in microelectromechanical systems.
This document discusses carbon capture and storage (CCS) technologies which aim to prevent carbon dioxide emissions from fossil fuel use. It describes three main methods for capturing CO2 - pre-combustion, post-combustion, and oxyfuel combustion. The captured CO2 can be transported via pipeline and stored underground in geological formations or utilized for enhanced oil recovery. CCS has the potential to reduce CO2 emissions by 80-90% but also increases energy needs and costs for power plants. There are environmental concerns about the impacts of long-term CO2 storage or leakage.
This document discusses brain computer interfaces and describes different types of brain waves. It then summarizes the process of using an electrode cap placed on the skull to detect brain waves, amplifying and digitizing the signals, extracting patterns to identify desired operations, and using those signals to control external devices like prosthetic legs through motors. Key advantages of this brain-controlled artificial leg system over traditional prosthetics include lower cost, greater user control, and not requiring sensors. The system has potential to improve quality of life for disabled individuals.
CDMA systems use code division multiple access (CDMA) to allow multiple users to access the network simultaneously using the same frequency band. CDMA uses spreading codes to distinguish between users, allowing signals to overlap in both time and frequency. Key aspects of CDMA include soft handoff which provides better call quality during handoffs, rake receivers which mitigate multipath interference, and intelligent vocoders which provide high quality voice compression. CDMA networks also use power control and simple network planning to provide better coverage than comparable systems while using less infrastructure. The cdma2000 1x standard provided increased data speeds and backward compatibility with earlier CDMA networks.
Cell phone cloning involves illegally copying identity information from one phone to another for fraudulent purposes. It allows calls to be made and billed to the legitimate subscriber. Cloners capture identifiers like ESN, MIN, and IMEI and reprogram them into another phone using software. Networks use techniques like duplicate detection if phones are in two places at once, and velocity traps if a phone seems to move impossibly fast. This costs carriers millions annually. To prevent cloning, set a PIN and check identifiers aren't being used fraudulently on other devices. Carriers and laws aim to prosecute cloning crimes.
Energy Generation by using PIEZOELECTRIC MATERIALS and It’s Applications.Animesh Sachan
1. The document discusses piezoelectricity as an alternative energy source that can harness ambient vibrations and convert them into electrical energy.
2. It provides background on the discovery of piezoelectricity and describes how certain materials generate electric charges when subjected to mechanical stress.
3. Examples of applications are given such as harvesting energy from footfalls using piezoelectric crystals in floors, roads and footwear to power devices and streetlights.
The document outlines 10 trends in mobile technology including the growth of mobile-social-location combinations, the rise of casual mobile gaming leading in apps, and more spending on mobile marketing reaching $1 billion in the US. It was commissioned by Socialjitney, an award-winning mobile app development company with over 250 professionals and 1000 apps, to provide a free resource on mobile trends for consumers.
This is a ppt on mobile cloning which is an emerging technology.This technology is being used widely these days,and also this
technology offers great help towards data replication and cloning device to device data.. which performs fucntions exactly same as the other device
The document discusses a smart note taker product that allows users to write notes in the air that are then digitally stored. It works by using a digital pen connected to a processor that senses hand motions and shapes using a database to recognize words. Notes can then be viewed on a display, shared digitally, or printed. Current products mentioned include mobile note takers that work with smartphones and PC note takers that capture and display writing in real time on a computer. Advantages include assistance for blind users and note-taking during phone calls or presentations.
The document discusses several applications of nanotechnology including anti-microbial solutions using silver ions, nano polishing pastes, fuel additives using nanodiamonds and nanographite, and abrasion resistant silver coatings. It explains that nanosilver has antimicrobial properties and can kill microbes through different mechanisms depending on the bacteria. Nano polishing pastes can reduce surface roughness to near 2nm. Fuel additives with nanodiamonds and nanographite can lower fuel consumption and friction. Silver nanoparticle coatings enhance conductivity and corrosion resistance of copper while decreasing wear and friction.
This seminar presentation discusses mobile phone cloning. It defines cloning as copying the identity of one mobile phone to another. The presentation covers how phones are cloned by capturing identifiers like ESN and MIN from phones. It also discusses the impact of cloning, like losses to mobile companies and criminals using cloned phones. The presentation concludes by recommending preventive measures like blacklisting stolen phones, using PIN codes, and enacting anti-cloning legislation.
CDMA allows multiple users to share the same channel by assigning each user a unique code. It spreads the user's data signal over a wider bandwidth through multiplication with a pseudo-random code. This allows different signals to be separated at the receiver through correlation with the corresponding code. Major technologies using CDMA include WiFi, Bluetooth, and GPS, which employ techniques like DSSS, FHSS, and long/short codes. Performance of 802.11 networks can be analyzed based on collision probability and throughput calculations under saturated traffic conditions. Later developments expanded CDMA capabilities with techniques like W-CDMA, TD-CDMA, and TD-SCDMA.
CDMA is a digital cellular standard that allows multiple users to access the same radio frequency channel simultaneously through the use of unique code sequences. Users are separated by spreading their transmitted signals across the frequency band using pseudo-random codes. CDMA provides advantages over other multiple access techniques like FDMA and TDMA such as increased capacity, soft handoffs between cells, and covert operation due to its noise-like signals. The IS-95 standard introduced CDMA to cellular networks and specified the use of orthogonal codes to separate signals and a 1.25 MHz channel bandwidth to support multiple simultaneous voice calls.
The document describes a biocontrol system that integrates a brain-computer interface, automatic security system, and automatic navigation system. The brain-computer interface allows for control via EEG signals from the brain. Test results showed activation ranges of 70-82% for imaginary movements and 36-83% for finger movements. The automatic security and navigation systems monitor the driver's EEG and can take control of the vehicle if the driver's EEG drops below a threshold, in order to prevent accidents. The overall system aims to help disabled individuals with transportation in a cost-effective manner.
This document summarizes a presentation on a brain-controlled car for disabled individuals using artificial intelligence. The car utilizes a biocontrol system that integrates brain signals from the driver with an automatic security system and navigation system. The brain computer interface monitors EEG signals to detect driver intentions and control the vehicle. Test results showed increased driver accuracy when using the brain computer interface. The security system monitors for unstable driver states and engages autonomous mode if needed. The navigation system stores routes in a map database and chooses the shortest route using traffic data. The goal is to revolutionize mobility for disabled people and reduce barriers between able and disabled.
Embedded systems, especially in-vehicle embedded systems, are ubiquitously related to our everyday life. The development of embedded systems greatly facilitates the comfort of people’s life, changes our view of things, and has a significant impact on society
The document discusses the topic of automotive electronics or autotronics. It defines autotronics as the combination of automobiles and electronics. It provides a brief history of how electronics have been incorporated into vehicles over time, starting with the introduction of the engine control unit in the 1970s and expanding to include modern infotainment, connectivity, and driver assistance systems. The document also outlines some of the key electronic systems used in vehicle braking, steering, transmission, and engine functions.
This document presents an alcohol detection and monitoring system with engine locking that is designed to reduce drunk driving accidents. The system uses an alcohol sensor to detect alcohol levels in a driver's breath and will send a signal to a microcontroller to stop the engine and trigger an alarm if alcohol is detected. It also uses a GPS module to track the vehicle's location and a GSM module to send a message with the location to local authorities. The system is intended to automatically detect drunk driving and alert authorities in order to improve road safety.
The document discusses control systems in automobiles, specifically focusing on electronic control units (ECUs) and knock sensors. It provides details on how ECUs act as the "brain" of a vehicle by collecting sensor data to control engine functions like fuel injection and spark timing. Knock sensors detect engine knocking through vibrations and send signals to the ECU to optimize ignition timing and prevent damage. Microcontrollers play an important role in both ECUs and knock sensors to process signals and precisely manage engine performance and emissions.
This document provides an overview of embedded systems used in digital cameras, automobiles, and smart card readers. It discusses the key components of digital cameras including image sensors, processors, memory, and interfaces. It describes various embedded applications in automobiles like engine control, safety systems, and infotainment. It also outlines the components of a smart card reader system including a microcontroller, smart card reader IC, memory, and power supply. Case studies of these three embedded applications are presented in detail across multiple pages.
Road accident avoiding system by drunker sensing techniqueEcway Technologies
This document describes a road accident avoiding system using a drunk driver sensing technique. The system includes a controller, switches and sensors, relays, and motors. The controller is programmed to control the vehicle's forward and reverse motions. A drunk sensor detects if a drunk person is in the vehicle and sends a signal to the controller to stop the DC motor and prevent vehicle movement if a drunk driver is detected. The system aims to accurately detect drunk drivers and stop vehicles to help avoid road accidents.
This document describes a road accident avoiding system using a drunk driver sensing technique. The system includes a controller, switches and sensors, relays, and motors. It uses a drunk sensor to identify if a drunk person is in the vehicle and stops the vehicle if detected. The controller reads input signals from the drunk sensor and other components and controls the DC motor via relays to stop the vehicle if a drunk driver is sensed, helping avoid potential road accidents.
This document describes a road accident avoiding system using a drunk driver sensing technique. The system includes a controller, switches and sensors, relays, and motors. The controller is programmed to control the vehicle's forward and reverse motions. A drunk sensor detects if a drunk person is in the vehicle and sends a signal to the controller to stop the DC motor and vehicle via relays if a drunk driver is detected. The system aims to reduce accidents by automatically stopping a vehicle if a drunk driver is sensed.
This document describes a road accident avoiding system using a drunk driver sensing technique. The system includes a controller, switches and sensors, relays, and motors. The controller is programmed to control the vehicle's forward and reverse motions. A drunk sensor detects if a drunk person is in the vehicle and sends a signal to the controller to stop the DC motor and vehicle via relays if a drunk driver is detected. This system aims to reduce accidents by automatically stopping a vehicle if a drunk driver is sensed.
This document describes a road accident avoiding system using a drunk driver sensing technique. The system includes a controller, switches and sensors, relays, and motors. The controller is programmed to control the vehicle's functions. A drunk sensor detects if a drunk person is in the vehicle and sends a signal to the controller to stop the DC motor and vehicle via relays if a drunk driver is detected. The system aims to reduce accidents by automatically stopping a vehicle if a drunk driver is sensed.
This document describes a road accident avoiding system using a drunk driver sensing technique. The system includes a controller, switches and sensors, relays, and motors. The controller is programmed to control the vehicle's forward and reverse motions. A drunk sensor detects if a drunk person is in the vehicle and sends a signal to the controller to stop the DC motor and prevent vehicle movement if a drunk driver is detected. The system aims to accurately detect drunk drivers and stop vehicles to help avoid road accidents.
1) The document discusses single channel and multichannel data acquisition systems. It describes the basic components and techniques used in such systems including signal conditioning, analog to digital conversion, and multiplexing.
2) Modern PC-based data acquisition systems are also covered. These systems interface analog sensor signals with PCs using add-on cards to monitor, analyze, and display measurement data.
3) Key advantages of PC-based systems include continuous monitoring of parameters, alert displays, mimic diagrams for visualization, and simultaneous plotting of measurements over time.
This document describes a collision avoidance system using ultrasonic sensors and a microcontroller. The system works by transmitting ultrasonic pulses and measuring the time it takes for the echo to return, allowing it to calculate the distance to any obstacles. If an obstacle gets too close, the system can activate emergency braking. It also monitors vehicle speed and alerts the driver if the speed limit is exceeded. The system aims to help avoid accidents by detecting obstacles and enforcing speed limits.
This document describes a collision avoidance system using ultrasonic sensors and a microcontroller. The system works by transmitting ultrasonic pulses and measuring the time it takes for the echo to return, allowing it to calculate the distance to any obstacles. If an obstacle gets too close, the system can activate emergency braking. It also monitors vehicle speed and alerts the driver if the speed limit is exceeded. The system aims to help avoid accidents by detecting obstacles and enforcing speed limits.
Li-Fi uses white LED light bulbs to transmit data through variations in light intensity. A receiver converts the light signals to an electrical signal and data stream. Li-Fi has advantages over Wi-Fi like better security, higher speeds, and lack of interference. However, it requires line of sight and may be affected by other light sources. The technology has been successfully demonstrated with a table lamp transmitting over 10Mbps.
We built C.H.I.P. to make tiny powerful computers more accessible and easier to use. A huge part of making C.H.I.P. accessible is making sure that it can change to meet the needs of the community. That's why both C.H.I.P. and PocketC.H.I.P. are bothTOTALLY OPEN SOURCE. This means all hardware design files schematic, PCB layout and bill of materials are free for you the community to download, modify and use.
Robot Welding is a process of joining different materials.
The large bulk of materials that are welded are metals and their alloys although welding is also applied to the joining of other materials such as thermoplastics.
The Sixth Sense is the Basic Latest Technology. It is the a wearable gestural interface that augments the physical world around us with digital information
Solar energy is energy from the sun that can be converted into useful forms of energy, such as heat, light, and electricity. Solar energy originates from thermonuclear fusion reactions on the sun. It consists of radiant light and heat from the sun that is harnessed using a variety of ever-improving technologies such as solar heating systems, photovoltaics, and solar thermal energy. While solar energy has disadvantages related to cost, location, reliability, and inefficiency, it is a renewable source that can help reduce dependence on non-renewable energy sources if adopted more widely.
This document provides an overview of satellite radio, including its history and current providers Sirius and XM. It describes how satellite radio works by transmitting signals from satellites in orbit to receivers, allowing commercial-free music and talk programming anywhere. Some advantages include no local radio station limitations and interruptions, while disadvantages include monthly subscription fees and potential signal interruptions. The conclusion discusses how satellite radio offers new opportunities for broadcasters and a digital future with more services for listeners.
This document provides an overview of multi-core processors, including their history, architecture, advantages, disadvantages, applications and future aspects. It discusses how multi-core processors work with multiple independent processor cores on a single chip to improve performance over single-core processors. Some key points covered include the introduction of dual-core chips by IBM, Intel and AMD in the early 2000s; comparisons of single-core, multi-core and other architectures; advantages like improved multi-tasking and security; and challenges for software to fully utilize multi-core capabilities.
This technology briefing describes Hawk-Eye, a vision processing system that uses multiple high-speed cameras placed around a court or field to track objects like tennis balls or soccer balls in 3D. It can measure attributes like position, velocity, and spin to millimeter precision. Competing technologies include systems that track chips in balls, slow motion replay which is less precise, and systems used for specific sports. Hawk-Eye was developed in 1999 and is now used in tennis, cricket, soccer, and the Olympics to provide accurate data and reviews of calls. It has received several awards for its contributions to sports.
Haptics is the technology of adding the sense of touch to virtual objects. It involves tactile and kinesthetic feedback to make virtual objects seem real. Haptics links the brain's sensing of body position and movement through sensory nerves. Popular haptic devices include the Phantom interface and CyberGrasp system. The Phantom allows the user to feel the shape and size of 3D virtual objects. CyberGrasp fits over the hand like an exoskeleton and provides force feedback to each finger. Haptics has applications in medical training simulation, military terrain simulation, and future consumer devices.
This document provides an overview of the topics and components that will be covered in an introduction to electronics and breadboarding circuits class, including:
- The basic principles of electronics like what is a circuit and different types of power sources
- Common electronic components like resistors, capacitors, LEDs, transistors, sensors and how they work
- How to build simple circuits using a breadboard to power an LED or make lights flash
- More complex circuits combining different components like RGB LEDs, motors, and sensors to demonstrate electronic principles in action.
The document describes the development of an artificial retina using thin-film transistors (TFTs) that can be implanted in the back of the human eye. The artificial retina contains photo sensors and circuits integrated on a flexible substrate using poly-silicon TFTs. It receives wireless power through inductive coupling between an external coil and an internal receiving coil embedded in the eye. The artificial retina is aimed at restoring vision by stimulating the retina with an array of pixels that output different voltages based on light levels detected by phototransistors.
Apple is an innovative technology company founded in 1976 that manufactures and sells consumer electronics such as computers, phones, and music players. It is headquartered in Cupertino, California and has expanded internationally with locations in Ireland and Singapore. A strength is its visionary founder Steve Jobs who returned in 1997 and launched successful products like the iMac, iPod, and iPhone. Apple aims to provide superior products and experiences to students, educators, and consumers through proprietary hardware, software, and services.
Google is a Search Engine.
It is used to search content provided from different websites.
Google Inc. is an American Multinational Corporation Specializing in Internet related Services and Products.
Antimatter is the extension of the concept of the antiparticle to matter.
Antimatter is composed of antiparticle, i.e. particles with identical mass and spin as those of ordinary particles, but with opposite charge and magnetic properties.
A recent article on neural interfacing in the IEEE Transactions reports that "a Microelectrode array capable of recording from and stimulating peripheral nerves at prolonged intervals after surgical implantation has been demonstrated." These tiny silicon-based arrays were implanted into the peroneal nerves of rats and remained operative for up to 13months. This human computer interface may now lead to a revolutionary organism called as “cybor”, which was thought of as a science -fiction earlier.
Wireless Electrical Transmission as the name shows is the Transmission of Electrical Energy without wires to any place on Earth. Even to the most remote areas.
VIRTUAL=FAKE,REALITY=REAL
THIS GIVES US OXYMORON DEFINITION
VIRTUAL REALITY IS TO GIVE THE EFFECT OF EXISTENCE WITHOUT ACTUALLY EXISTING
IT GIVES US AN EFFECT NOT AN ILLUSION
WORKS WITH THINGS INSTEAD OF PICTURES OF THINGS
Nature of the task 1. write a paragraph about your trip to dubai and what ar...solutionaia
1. write a paragraph about your trip to dubai and what are the facts responsible for the heavy rainfall in dubai that caused havec ?
2. mention any five major tourist attaction of dubai
Mathematics: a student a visit her family her father converted Rs. 1,15,000 inr currency for dubai airport theexpedite in the trip is given below
1. Curreny name of India and dubai
2. Conversions amount
3. Total Converted amount
4. cost of food
5. cost of sightseeing
6. cost of shoping
7. cost of saving
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Ibiza, situated in the Balearic Islands, stands out as a destination that encompasses everything: stunning landscapes, hidden gems to explore, a vibrant social scene, rich cultural life, and exceptional gastronomy. Opting for ‘Ibiza Rent A Boat’ to experience an unforgettable vacation on the White Island is certainly worthwhile, prompting a deeper exploration of the unique and fascinating aspects of Ibiza.
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How To Change Your Name On American Airlines Aadvantage.pptxedqour001namechange
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Prepare for cold weather rafting with proper gear: layering for warmth, insulated headgear, gloves, waterproof footwear, and essential accessories like sunglasses and sunscreen. Prioritize safety with a life jacket and maintain gear for optimal performance. Stay warm, dry, and ready for adventure on the rapids!
Golden Gate Bridge: Magnificent Architecture in San Francisco | CIO Women Mag...CIOWomenMagazine
The famous suspension bridge connects the city of San Francisco to Marin County in California. Golden Gate Bridge carries both U.S. Route 101 and California State Route 1 across the strait and is about one mile wide. In this article, we will explore the history and significance that have shaped the iconic monument it is known as today.
Our excursions in tahiti offer stunning lagoon tours, vibrant marine life encounters, and cultural experiences. We ensure unforgettable adventures amidst breathtaking landscapes and serene waters. For more information, mail us at tracey@uniquetahiti.com.
Beyond the mountains, a tour in Nepal reveals a vibrant tapestry of cultural heritage. The Kathmandu Valley, a UNESCO World Heritage Site, boasts an array of ancient temples, stupas, and palaces. Durbar Squares in Kathmandu, Bhaktapur, and Patan are treasure troves of medieval art and architecture.
You can easily change/correct a name on your flight ticket under the American Airlines name change policy. The airline provides multiple online and offline modes to place a name change request. To learn more about how to change a name on American Airlines ticket, you can directly approach the airline’s customer support. Moreover, you can connect with a flight expert at +1-866-738-0741 for quick assistance.
2. INTRODUCTION
• The video and thermograph analyzer
continuously monitor activities outside the
car
• When the verification of video images and
thermo graphic results is done, the doors of
the car open to the sides and a ramp is
lowered from the floor
• The robotic arms assist the driver to the seat
4. • Increases acceptance & trains
non users
• Brain controlled switch
responds to specific patterns
detected in spatio temporal
electro encephatograms(eeg)
BRAIN COMPUTER INTERFACE
5. EEG TRANSMISSION
• The eeg is filtered and run through a fast
fourier transform before it is displayed as
a three dimentional graphic
• This data is piped into MIDI compatible
music programs
• MIDI is further adjusted to control
external process like robotics
• Analysis of data is mostly done in Mat lab
environment
6. FEATURES OF EEG
• Data can be fully exported in raw data &
average formats
• Data can be sent and analyzed in real
time over network or modem
• Ultra low noise balanced DC Coupling
Amplifier
• Full Brain wave driven sound control
supports for 16 bits sound
8. PRINCIPLE & PROCESS OF
THE SYSTEM
The impulse of human brain is tracked and
even decoded
Tracing the motor neurons in brain
Attempt for physical movements sends
impulse to motor neuron
Message is decoded at motor neuron to
attain maximum accuracy
Sensory neurons monitor the eye movement
9. AUTOMATIC SECURITY
SYSTEM
If the frequency of
EEG <4 Hz, driver
is in unstable
stage
Message is given
to driver for
confirmation
Computer
prompts the driver
for destination
10. AUTOMATIC NAVIGATION
SYSTEM
This stores the root
map in its data
base
Video and anti
collision sensors
provide continuous
feed of
environment up to
180mts,which is
sufficient
11. USES OF BCI OVER DRIVER’S
ACCURACY
Better controlled accuracy over real
movements
Subjects demonstrated activation
accuracies in the range of 70-82%
with false activation <2%
Accuracy range of real movements is
36-83%
Accuracy range of this system is99%
12. DEMERITS
• Cost is high
• Design is complex
• Care must be taken while designing the car,
otherwise many problems will occur which
lead to accidents
13. CONCLUSION
This car brings a revolutionary
change in the society which
vanishes difference between abled
and disabled.