International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Real time detection system of driver distraction.pdfReena_Jadhav
There is accumulating evidence that driver distrac- tion is a leading cause of vehicle crashes and incidents. In par- ticular, increased use of so-called in-vehicle information systems (IVIS) have raised important and growing safety concerns. Thus, detecting the driver’s state is of paramount importance, to adapt IVIS, therefore avoiding or mitigating their possible negative effects. The purpose of this presentation is to show a method for the nonintrusive and real- time detection of visual distraction, using vehicle dynamics data and without using the eye-tracker data as inputs to classifiers. Specifically, we present and compare different models that are based on well-known machine learning (ML) methods. Data for training the models were collected using a static driving simulator, with real human subjects performing a specific secondary task [i.e., a surrogate visual research task (SURT)] while driving. Different training methods, model characteristics, and feature selection criteria have been compared. Based on our results, using a BSN has outperformed all the other ML methods, providing the highest classification rate for most of the subjects.
Index Terms—Accident prevention, artificial intelligence and machine learning (ML), driver distraction and inattention, intel- ligent supporting systems.
Driver Fatigue Monitoring System Using Eye ClosureIJMER
Abstract: Now-a-days so many road accidents occur due to driver distraction while he is driving. Those accidents are broadly depends upon wide range of driver state such as drowsy state, alcoholic state, depressed state etc. Even driver distraction and conversation with passengers during driving can lead in major problems. To address the problem we propose a Driver fatigue Monitoring and
warning system based on eye-tracking, which is consider as active safety system. This system is useful and helpful for drivers to be alert while driving. Eye tracking is one of the major technologies for future driver system since human eyes contains much information. Sleepiness reduces reaction time of safe driving. The driver distraction is measured by the person eye closure rate for certain period while driving. It is implemented by comparing the image extracted from video and the video that is currently
performing. The percentage of eyes is compared from both the frames, if the driver is suspected to be sleeping then a warning alarm is given to alert the driver
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Real time detection system of driver distraction.pdfReena_Jadhav
There is accumulating evidence that driver distrac- tion is a leading cause of vehicle crashes and incidents. In par- ticular, increased use of so-called in-vehicle information systems (IVIS) have raised important and growing safety concerns. Thus, detecting the driver’s state is of paramount importance, to adapt IVIS, therefore avoiding or mitigating their possible negative effects. The purpose of this presentation is to show a method for the nonintrusive and real- time detection of visual distraction, using vehicle dynamics data and without using the eye-tracker data as inputs to classifiers. Specifically, we present and compare different models that are based on well-known machine learning (ML) methods. Data for training the models were collected using a static driving simulator, with real human subjects performing a specific secondary task [i.e., a surrogate visual research task (SURT)] while driving. Different training methods, model characteristics, and feature selection criteria have been compared. Based on our results, using a BSN has outperformed all the other ML methods, providing the highest classification rate for most of the subjects.
Index Terms—Accident prevention, artificial intelligence and machine learning (ML), driver distraction and inattention, intel- ligent supporting systems.
Driver Fatigue Monitoring System Using Eye ClosureIJMER
Abstract: Now-a-days so many road accidents occur due to driver distraction while he is driving. Those accidents are broadly depends upon wide range of driver state such as drowsy state, alcoholic state, depressed state etc. Even driver distraction and conversation with passengers during driving can lead in major problems. To address the problem we propose a Driver fatigue Monitoring and
warning system based on eye-tracking, which is consider as active safety system. This system is useful and helpful for drivers to be alert while driving. Eye tracking is one of the major technologies for future driver system since human eyes contains much information. Sleepiness reduces reaction time of safe driving. The driver distraction is measured by the person eye closure rate for certain period while driving. It is implemented by comparing the image extracted from video and the video that is currently
performing. The percentage of eyes is compared from both the frames, if the driver is suspected to be sleeping then a warning alarm is given to alert the driver
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
it is a presentation based on image processing used in the field of fatigue detection while driving which can save many life as well as prevent accident.
Fighting Accident Using Eye Detection forSmartphonesIJERA Editor
This paper is an attempt to investigate an important problem and approaches of human eye detection, blinking, and tracking. A new system was proposed and implemented using android technology for smartphones. System creatively reduces accidents due to drivers’ fatigue by focusing on treating the driver after fatigue has been detected to achieve decrease in accident likelihood.
Smartphone's have been the important tools in our society for the abundant functions including communication, entertainment and online office etc. as the pivotal devices of mobile computing. Smartphone development has also become more important than before. Android is one of the emerging leading operating systems for smartphones as an open source system platform. Many smartphones have adopted this platform and more smartphones will do so in the future. The proposed system is well-suited for real world driving conditions since it can be non-intrusive by using video cameras to detect changes. Driver operation and vehicle behavior can be implemented by equipping automobiles with the ability to monitoring the response of the driver. This involves periodically requesting the driver to send a response to the system to indicate alertness. The propose system based on eyes closer count & yawning count of the driver. By monitoring the eyes and face, it is believed that the symptoms of driver fatigue can be detected early enough to avoid a car accident and providing the driver with a warning if the driver takes his or her eye off the road.
Driver's drowsiness is the main reason for vehicular accidents. Drowsy driving is the form of impaired driving
that continuously affects a person's ability to drive safely. Continuous restless driving for longer time may result in
drowsiness and cause accidents. In this study, a collaborative system is build which assist the user and identifies
his/her state while driving in order to improve safety by preventing accidents. Based on grayscale image processing,
the position of the driver's face and his/her head movement is analysed. The driver's state identification also includes
the detection of alcohol consumption with the help of sensors.
An efficient automotive collision avoidance system for indian traffic conditionseSAT Journals
Abstract The execution of a wide-ranging accident cautioning system is being visualised by ACAS Program, which is proficient in perceiving and cautioning the driver of potential hazard conditions forward, on the side, and rear sections of the vehicle. The structure would use: (a) long array sensor or visual devices to identify probable hazards in front of the vehicle, (2) short range sensors to caution the driver of nearby objects while changing traffic lanes or backing up, and (3) a track exposure arrangement to alert the motorist when the vehicle deviates from the intended traffic lane. Accident Prevention organisms, as a consequent step to collision mitigation, are one of the Great challenges in the area of active safety for road vehicles. The task of a collision avoidance system is to track objects of potential collision threat and govern any action to evade or diminish a crash. The main focus is how to make decisions based on ambiguous evaluations and in the presence of numerous hurdles. The first step in CA (Collision Avoidance) systems for automotive applications is adaptive cruise control (ACC). The ability of the car to protect its passengers is sometimes called crashworthiness. Generally, a CM (Collision Mitigation) system tries to reduce the severity of the accident as much as possible under some constraints. The situation may be observed with detector sensors, laser radar, vision sensors, ultrasonic sensors, GPS sensors and inter-vehicle communication. FCM (Forward Collision Mitigation) systems mainly try to avoid or mitigate frontal collisions. The CA decision is based on the current position estimate of the host vehicle and those of other objects. The focus is towards the method for determining the threat of a collision given that the state of other objects is known. Two collision mitigation by braking systems are considered for study. One system uses the probability of collision, to decide when to perform braking interventions. The other system has a multiple obstacle decision. The scenarios that are calculated in this segment are primarily those where a CMbB has a large potential of significantly reducing the collision speed. Therefore, the test results of main interest is those between 0 and 70 km/h also for simulations. Hence, this ACAS Program detects the potential hazards, warns the driver and takes action to avoid or mitigate a collision. Keywords: Collision Warning, Decision Making, Collision Mitigation Braking, Tracking Sensors
Intelligent fatigue detection and automatic vehicle control systemijcsit
This paper describes method for detecting the early signs of fatigue in train drivers. As soon as the train
driver is falling in symptoms of fatigue immediate message will be transfer to the control room indicating the
status of the drivers. In addition of the advance technology of heart rate sensors is also added in the system
for correct detection of status of driver if in either case driver is falling to fatigue due to any sever medical
problems .The fatigue is detected in the system by the image processing method of comparing the
image(frames) in the video and by using the human features we are able to estimate the indirect way of
detecting fatigue. The technique also focuses on modes of person when driving the train i.e. awake, drowsy
state or sleepy and sleep state. The system is very efficient to detect the fatigue and control the train also
train can be controlled if it cross any such signal by which the train may collide on another train.
Real-Time Fatigue Analysis of Driver through Iris RecognitionIJECEIAES
In recent days, the driver’s fault accounted for about 77.5% of the total road accidents that are happening every day. There are several methods for the driver’s fatigue detection. These are based on the movement of the eye ball using eye blinking sensor, heart beat measurement using Electro Cardio Gram, mental status analysis using ElectroEncephaloGram, muscle cramping detection, etc. However the above said methods are more complicated and create inconvenience for the driver to drive the vehicle. Also, these methods are less accurate. In this work, an accurate method is adopted to detect the driver’s fatigue based on status of the eyes using Iris recognition and the results shows that the proposed method is more accurate (about 80%) compared to the existing methods such as Eye blink Sensor method.
Development of A Smart Interface For Safety and Protection of AutomotivesCSCJournals
This paper is mainly directed towards the safety and protection of the human beings by synchronizing both the software and hardware modules. Automotive safety sensors are mainly streamed towards the application in automobiles. The safety and protection of the automobile driver is monitored and abnormalities are detected by these sensors. These abnormalities are highlighted and alerts are provided to the driver, by the combinational synchronization of hardware and software.
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
it is a presentation based on image processing used in the field of fatigue detection while driving which can save many life as well as prevent accident.
Fighting Accident Using Eye Detection forSmartphonesIJERA Editor
This paper is an attempt to investigate an important problem and approaches of human eye detection, blinking, and tracking. A new system was proposed and implemented using android technology for smartphones. System creatively reduces accidents due to drivers’ fatigue by focusing on treating the driver after fatigue has been detected to achieve decrease in accident likelihood.
Smartphone's have been the important tools in our society for the abundant functions including communication, entertainment and online office etc. as the pivotal devices of mobile computing. Smartphone development has also become more important than before. Android is one of the emerging leading operating systems for smartphones as an open source system platform. Many smartphones have adopted this platform and more smartphones will do so in the future. The proposed system is well-suited for real world driving conditions since it can be non-intrusive by using video cameras to detect changes. Driver operation and vehicle behavior can be implemented by equipping automobiles with the ability to monitoring the response of the driver. This involves periodically requesting the driver to send a response to the system to indicate alertness. The propose system based on eyes closer count & yawning count of the driver. By monitoring the eyes and face, it is believed that the symptoms of driver fatigue can be detected early enough to avoid a car accident and providing the driver with a warning if the driver takes his or her eye off the road.
Driver's drowsiness is the main reason for vehicular accidents. Drowsy driving is the form of impaired driving
that continuously affects a person's ability to drive safely. Continuous restless driving for longer time may result in
drowsiness and cause accidents. In this study, a collaborative system is build which assist the user and identifies
his/her state while driving in order to improve safety by preventing accidents. Based on grayscale image processing,
the position of the driver's face and his/her head movement is analysed. The driver's state identification also includes
the detection of alcohol consumption with the help of sensors.
An efficient automotive collision avoidance system for indian traffic conditionseSAT Journals
Abstract The execution of a wide-ranging accident cautioning system is being visualised by ACAS Program, which is proficient in perceiving and cautioning the driver of potential hazard conditions forward, on the side, and rear sections of the vehicle. The structure would use: (a) long array sensor or visual devices to identify probable hazards in front of the vehicle, (2) short range sensors to caution the driver of nearby objects while changing traffic lanes or backing up, and (3) a track exposure arrangement to alert the motorist when the vehicle deviates from the intended traffic lane. Accident Prevention organisms, as a consequent step to collision mitigation, are one of the Great challenges in the area of active safety for road vehicles. The task of a collision avoidance system is to track objects of potential collision threat and govern any action to evade or diminish a crash. The main focus is how to make decisions based on ambiguous evaluations and in the presence of numerous hurdles. The first step in CA (Collision Avoidance) systems for automotive applications is adaptive cruise control (ACC). The ability of the car to protect its passengers is sometimes called crashworthiness. Generally, a CM (Collision Mitigation) system tries to reduce the severity of the accident as much as possible under some constraints. The situation may be observed with detector sensors, laser radar, vision sensors, ultrasonic sensors, GPS sensors and inter-vehicle communication. FCM (Forward Collision Mitigation) systems mainly try to avoid or mitigate frontal collisions. The CA decision is based on the current position estimate of the host vehicle and those of other objects. The focus is towards the method for determining the threat of a collision given that the state of other objects is known. Two collision mitigation by braking systems are considered for study. One system uses the probability of collision, to decide when to perform braking interventions. The other system has a multiple obstacle decision. The scenarios that are calculated in this segment are primarily those where a CMbB has a large potential of significantly reducing the collision speed. Therefore, the test results of main interest is those between 0 and 70 km/h also for simulations. Hence, this ACAS Program detects the potential hazards, warns the driver and takes action to avoid or mitigate a collision. Keywords: Collision Warning, Decision Making, Collision Mitigation Braking, Tracking Sensors
Intelligent fatigue detection and automatic vehicle control systemijcsit
This paper describes method for detecting the early signs of fatigue in train drivers. As soon as the train
driver is falling in symptoms of fatigue immediate message will be transfer to the control room indicating the
status of the drivers. In addition of the advance technology of heart rate sensors is also added in the system
for correct detection of status of driver if in either case driver is falling to fatigue due to any sever medical
problems .The fatigue is detected in the system by the image processing method of comparing the
image(frames) in the video and by using the human features we are able to estimate the indirect way of
detecting fatigue. The technique also focuses on modes of person when driving the train i.e. awake, drowsy
state or sleepy and sleep state. The system is very efficient to detect the fatigue and control the train also
train can be controlled if it cross any such signal by which the train may collide on another train.
Real-Time Fatigue Analysis of Driver through Iris RecognitionIJECEIAES
In recent days, the driver’s fault accounted for about 77.5% of the total road accidents that are happening every day. There are several methods for the driver’s fatigue detection. These are based on the movement of the eye ball using eye blinking sensor, heart beat measurement using Electro Cardio Gram, mental status analysis using ElectroEncephaloGram, muscle cramping detection, etc. However the above said methods are more complicated and create inconvenience for the driver to drive the vehicle. Also, these methods are less accurate. In this work, an accurate method is adopted to detect the driver’s fatigue based on status of the eyes using Iris recognition and the results shows that the proposed method is more accurate (about 80%) compared to the existing methods such as Eye blink Sensor method.
Development of A Smart Interface For Safety and Protection of AutomotivesCSCJournals
This paper is mainly directed towards the safety and protection of the human beings by synchronizing both the software and hardware modules. Automotive safety sensors are mainly streamed towards the application in automobiles. The safety and protection of the automobile driver is monitored and abnormalities are detected by these sensors. These abnormalities are highlighted and alerts are provided to the driver, by the combinational synchronization of hardware and software.
Driver Fatigue Monitoring System Using Eye ClosureIJMER
Now-a-days so many road accidents occur due to driver distraction while he is driving.
Those accidents are broadly depends upon wide range of driver state such as drowsy state, alcoholic
state, depressed state etc. Even driver distraction and conversation with passengers during driving
can lead in major problems. To address the problem we propose a Driver fatigue Monitoring and
warning system based on eye-tracking, which is consider as active safety system. This system is useful
and helpful for drivers to be alert while driving. Eye tracking is one of the major technologies for
future driver system since human eyes contains much information. Sleepiness reduces reaction time of
safe driving. The driver distraction is measured by the person eye closure rate for certain period while
driving. It is implemented by comparing the image extracted from video and the video that is currently
performing. The percentage of eyes is compared from both the frames, if the driver is suspected to be
sleeping then a warning alarm is given to alert the driver.
Driving without license is the major cause for the road accident and the equivalent monetary losses. This paper is based on virtual reality based driving system which would enhance road safety and vehicle security. This paper helps to limit the vehicle operation on the basics of two parameters-Learn the driving by our own, category (car or bike) of the vehicle for which the driving license is issued. The hardware and software system required to improve our safety and security is developed. This driving system is apt for getting the license without bribe by gathering eye-gaze, Electroencephalography and peripheral physiological data.
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
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
When stars align: studies in data quality, knowledge graphs, and machine lear...
J42025053
1. Tanmoy D. Goswami et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 2( Version 2), February 2014, pp.50-53
RESEARCH ARTICLE
www.ijera.com
OPEN ACCESS
Android Based Rush And Drunk Driver Alerting System
Tanmoy D. Goswami*, Shrinivas R. Zanwar **, Zafar Ul. Hasan***
* Student, Department of Computer Sci. & Engg., Dr. Seema Quadri Institute of Tech, Aurangabad, India
** Asst. Prof, Department of Electronics & Communication Engineering, Dr. Seema Quadri Institute of Tech,
Aurangabad, India
*** Asst. Prof, Department of Computer Engg., SITRC, Nashik, India
ABSTRACT
The Rush driving and driving after consumption of alcohol is a major cause of road accident worldwide. In this
paper we proposed an idea to alert rush and drunk driver at early stage before actual accident take place.
Complete system works on a cell phone having software installed in it with some sensor. The program calculates
the sensor reading and matches with the pattern already present in system, if match found then an alert will give
to driver and also a text message will send to the relative asking for help with location details. This system will
design on an android based cell phone. Our proposed system will prevent many accidents to occur and save
lives.
Keywords - Acceleration Cell Phones, Rush Driving, Sensor.
I. INTRODUCTION
A report of Ministry of Road Transport &
Highways, Government of India says during the year
2011, there were around 4.98 lakh road accidents,
which killed 1.42 lakh people and injured more than
5 lakh persons, many of them are disabled for rest of
their lives [1]. Now a day’s risk to drive a vehicle has
risen very high. Crashes due to rush driving is a
serious danger not only to the drivers themselves but
also to the public present on the road. A major cause
of road accidents is either rush driving or driving
after having alcohol. In this paper we are proposed a
system which will very efficiently alert the driver
who is driving rashly. Identification of risk and
taking preventive action to minimize risk is a vital
challenge in front of current technology. So now time
demands a real time monitoring and alerting system
that will minimize such driving risks with fast
response time. Despite the fact that driving under the
influence of alcohol is a major problem, detection of
drunk driver is not so easy and it till depends on
visual observations by patrol officers. Drivers under
the influence of alcohol show a marked decline of
perception, recognition, and controlling of vehicle, so
they tend to make certain types of dangerous moves.
One of the portable devices that we all have with us
is cell phone. It can function very effectively and at
the same time its communication services have a
wide coverage. Hence a system that addresses this
issue can be easily designed and implemented using
cell phone technology. An alert can be given to the
careless or a rush driver by measuring the speed and
orientation of the vehicle. Those values can be
gathered by using accelerometer and orientation
sensor.
www.ijera.com
We will calculate separately longitudinal and lateral
acceleration values and match the result multiple
times with a predefined pattern to identify the rush or
drunk driver. After that the alert will be given to the
driver. Introduction of the paper should explain the
nature of the problem, previous work, purpose, and
the contribution of the paper. The contents of each
section may be provided to understand easily about
the paper.
II. LITERATURE SURVEY / RELATED
WORK
Some researches have already done in the
field of driving monitoring tools. Some of them are
knows as driver vigilance monitoring. It works on
detecting and preventing fatigue of the driver. Other
researchers focus on real-time driving pattern
recognition.
In detail, they worked with various
methodologies and techniques mentioned as follows.
Visual observation is an option to detect driver
fatigue. Two cameras were used on dashboard to
collect the visual cues of drivers, such as head
movement, eyelid movement, facial expression, and
gaze movement in order to detect fatigue with a
probabilistic model [2].
Issue of sleep onset from the global analysis
of the physiological state of fatigue, and take eyes
opening and closing as cues of sleep onset is also a
major area of concern in case of fatigue driving [3].
Help of vision-based system to monitor the eyes
conditions in order to predict fatigue in driving is
discussed.
Two fixed cameras to capture the driver's
sight line and the driving lane path for the purpose of
50 | P a g e
2. Tanmoy D. Goswami et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 2( Version 2), February 2014, pp.50-53
driving pattern and status recognition is dealt.
Correlation coefficients calculated to monitor the
driving status and patterns [4]. These methods all
required one or more cameras to be installed in the
vehicle and just in front of the driver. It will cause
some potential safety issues to the driver. Besides
visual methods, the interaction at the vehicle-human
interface also gives clues to driving information
monitoring.
It is assumed that the time derivative of
force exerted by the driver at the vehicle-human
interface, such as pressure on the accelerator pedal,
can help to decide the level of alertness of the driver.
Practically, a force sensor on the accelerator pedal to
capture the exerted force to predict driver fatigue
used [5].
Saab, automobile manufacturer has designed
an experimental product AlcoKey, which used the
breath sample of drivers. It collects the breath sample
before they start the vehicle. Then the AlcoKey's
radio transmitter sends a signal to the vehicle's
electronic control unit. Now the control unit will
decide wither the vehicle to be started or not based on
the level of alcohol present in the breath sample.
These researches worked based on the interactions
between human and vehicle to determine drunk
driving. It also required that the vehicle need to be
tightly coupled with the auxiliary add-ons, so their
compatibility have been compromised most of the
time [6].
Architecture for driving information system
using GPS receiver and specific sensors is
implemented. They have recorded the acceleration
and GPS data and used pattern matching to detect and
classify driving styles. The work shows that the
acceleration reflects the measures of driving pattern.
However, it do not only aim on the acceleration
signature, but also take help of GPS data. The devices
required in their system are specific and not
conveniently compatible [7].
III. RESEARCH PROBLEM
In the US NHTSA’s [8] has studied many
driving behaviors when vehicles are drive under
influence of alcohol. The researchers have found that
there are some patterns of driving behaviors for these
drivers who are under influence of alcohol. Based on
this research we can conclude that there are some
categories related to drunken driving behaviors. All
these driving behaviors are related to the vehicle
movement. Also depends on the driver’s vigilance &
judgment. The hints to solve this problem can be
classified as follows:
Clues related to vigilance problem and
judgment:
Example: such as poor response to traffic signal,
Failure in identifying lane markers and driving
www.ijera.com
www.ijera.com
without headlights at dark and drive on wrong side of
road.
Hints related to maintaining Speed issues:
Example: Sudden acceleration or deceleration and
breaking inappropriately and stopping carelessly.
Stimulus related to lane position maintenance
problem:
Example: Driving with twist and turns, swerving,
drifting, rough turning or taking a wide radius turn.
Fig 1: Problem in maintaining the lane position:
(a) Weaving, (b) Drifting, (c) Swerving, (d)
turning with wide radius [9]
51 | P a g e
3. Tanmoy D. Goswami et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 2( Version 2), February 2014, pp.50-53
The outcome concludes that:
These driving patterns produce clear idea about
driving under the influence of alcohol.
The pattern related to maintaining lane position
& speed control is the prime categories for good
enough to conclude drunken drive identification.
If we focus on these hints we can implement the
identification system for drunk driving or rush
driving.
www.ijera.com
2. Calibration module
3. Data processing and pattern matching module
4. Alert and communication module.
The third module marked by a dashed box
will implement the identification algorithm. Our
design will consume very less power, as the screen is
only activated when required. The work flow of our
rush and drunken driving alerting system is also
illustrated in Fig. 2.
IV. PROPOSED METHODOLOGY
A. LANE POSITION MAINTENANCE AND LATERAL
ACCELERATION
Normally, the prime reason of abnormal or
irregular curvy movements is the lane position
maintenance which causes weaving, drifting,
weaving and turning with a wide radius. Result of
these all driving behaviors is an extraordinary change
on lateral acceleration. U.S. NHTSA’s report releases
the clear representation of these situations, as shown
in Fig. 1.
As demonstrated in Fig. 1(a), weaving in
simple words means moving a vehicle in zigzag
manner. Probably, the lateral movement is caused by
rotating a steering wheel toward one direction and a
next coming steering toward the other direction.
Similarly as stated above, the drifting, swerving and
turning with a wide radius have the abnormal lateral
movements, as shown in Fig. 1(b) (c) (d).
B. SPEED MAINTAINING AND LONGITUDINAL
ACCELERATION
A rush driver or a driver who is driving
vehicle under the influence of alcohol unable to keep
proper speed and so he often experiences difficulty in
driving. Sudden acceleration or deceleration,
eccentric braking and shaky stop are some strong
hints that concludes the driver is an under influence
of alcohol. They all cause an inappropriate change in
longitudinal acceleration.
We
pretend
that
the
longitudinal
acceleration is toward the head of the vehicle. So the
concise acceleration of vehicle will lead to an
extensive increase of longitudinal acceleration i.e. in
positive values. And on the converse, the concise
deceleration, eccentric braking or shaky stop will
cause an immense decrease of longitudinal
acceleration i.e. in negative values.
Fig.2. Work function of the rush and drunk driver
alerting system.
When the system starts manually, a
calibration i.e. computation procedure will start
working when the system identifies that the cell
phone is placed in a running vehicle. Then the main
program launches, and will work as a background
function. This vigilance procedure monitors the
behaviors of driver in real time and gathers
acceleration readings using the sensors. The gathered
information will consist of lateral and longitudinal
acceleration. They will be processed separately, and
used as inputs to the multiple round pattern matching
modules. At the same time, the historical data will be
uploaded in the system. This information will support
in pattern matching process. If the match found,
which indicates a drunk or rush driving is identified;
and finally one signal is send to trigger an alert. The
cell phone may also alarm several time the driver or
automatically contact the relatives of driver for help
using SMS service. If the pattern matching condition
is not satisfied, execution returns to the Real-time
surveillance module immediately.
VI. CONCLUSION
V. DESIGN OF PROPOSED SYSTEM
In this section we will describe the design of
our proposed alerting system for rush and drunk
driver.
The alerting system will consist of four
components, as presented in Fig. 2.
They are:
1. Surveillance module
www.ijera.com
In this paper, we proposed a very efficient
android cell phone based rush and drunk driver
alerting system. The cell phone, which is located in
the moving vehicle, collects and analyses the
information from its orientation sensor and
accelerometer to identify any irregular or dangerous
driving behaviours typically related to driving under
alcohol influence. In our future work, we plan to
52 | P a g e
4. Tanmoy D. Goswami et al Int. Journal of Engineering Research and Applications
ISSN : 2248-9622, Vol. 4, Issue 2( Version 2), February 2014, pp.50-53
Improve our identification system by
integrating all available sensing data on a cell phone,
e.g., GPS data and camera image also improve the
communication part by using free SMS services.
[5]
References
[1]
[2]
[3]
[4]
Report on “Road Accidents in India 2011”
by ministry of Road Transport and Highway
Transport Research Wings New Delhi” in
June 2012
Z. Zhu and Q. Ji, "Real Time and Nonintrusive Driver Fatigue Monitoring", in The
7th International IEEE Conference on
Intelligent Transportation Systems, pp. 657662, Oct. 2004.
A. B. Albu, B. Widsten, T. Wang, J. Lan
and 1. Mah, "A Computer Vision-Based
System for Real-Time Detection of Sleep
Onset in Fatigued Drivers", in 2008 IEEE
Intelligent Vehicles Symposium, pp. 25-30,
June 2008
J. Lee, J. Li, L. Liu and C. Chen, "A Novel
Driving Pattern Recognition and Status
Monitoring System", in First pacific rim
www.ijera.com
[6]
[7]
[8]
[9]
www.ijera.com
symposium, PSIVT 2006, pp. 504-512,
December 2006.
A. V. Desai and M. A. Haque, "Vigilance
Monitoring for Operator Safety: A
Simulation Study on Highway Driving", in
Journal of Safety Research, Vol. 37, No. 2,
pp. 139-147, 2006.
"Saab Alco Key Helps Drivers", http://
www.saabnet.comltsnlpress/061013a.html.
V. D. Lecce and M. Calabrese,
"Experimental System to Support Real Time
Driving Pattern Recognition", in Advanced
Intelligent Computing Theories and
Applications With Aspects of Artificial
Intelligence Annals of Emergency Medicine,
pp. 1192-1199, 2008.
U.S. NHTSA, "Traffic Safety", http://wwwnrd.nhtsa.dot.govlPubs/811172.pdf
“Mobile Phone Based Drunk Driving
Detection Jiangpeng Dai” Jin Teng, Xiaole
Bai, Zhaohui Shenj and Dong Xuan Digital
Object Identifier 10.41 0BIICST. PERVAS
IVEHEALTH2010.8901 http://dx.doi.org/10
.410BIICST.PERVASIVEHEAL TH2010.
8901
53 | P a g e