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.
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.
Eye Gaze Estimation Invisible and IR Spectrum for Driver Monitoring Systemsipij
Driver monitoring system has gained lot of popularity in automotive sector to ensure safety while driving.
Collisions due to driver inattentiveness or driver fatigue or over reliance on autonomous driving features
arethe major reasons for road accidents and fatalities. Driver monitoring systems aims to monitor various
aspect of driving and provides appropriate warnings whenever required. Eye gaze estimation is a key
element in almost all of the driver monitoring systems. Gaze estimation aims to find the point of gaze which
is basically,” -where is driver looking”. This helps in understanding if the driver is attentively looking at
the road or if he is distracted. Estimating gaze point also plays important role in many other applications
like retail shopping, online marketing, psychological tests, healthcare etc. This paper covers the various
aspects of eye gaze estimation for a driver monitoring system including sensor choice and sensor
placement. There are multiple ways by which eye gaze estimation can be done. A detailed comparative
study on two of the popular methods for gaze estimation using eye features is covered in this paper. An
infra-red camera is used to capture data for this study. Method 1 tracks corneal reflection centre w.r.t the
pupil centre and method 2 tracks the pupil centre w.r.t the eye centre to estimate gaze. There are
advantages and disadvantages with both the methods which has been looked into. This paper can act as a
reference for researchers working in the same field to understand possibilities and limitations of eye gaze
estimation for driver monitoring system.
Impaired driving detection using textile sensorsLeMeniz Infotech
Impaired Driving Detection Using Textile Sensors
Statistical data shows that driving-related accidents and human casualties caused by vehicles are on the rise in the US and globally. Most of these accidents are caused by impaired or distracted driving. To address this problem we present, a system that uses capacitive textile sensors embedded into car seats, headrests, and arm rests to capture whole body motion. The system also uses inertial and GPS sensors for determining vehicle speed and turns. Using a combination of these sensors and a tiered signal processing algorithm, we infer attributes that are indicative of impaired driving.
Web : http://www.lemenizinfotech.com
web : http://www.lemenizinfotech.com/embedded-ieee-projects-2016-2017/
Web : http://ieeemaster.com
Web : http://ieeemaster.com/embedded-ieee-projects-2016-2017/
Address: 36, 100 Feet Road(Near Indira Gandhi Statue), Natesan Nagar, Pondicherry-605 005
Contact numbers: +91 95663 55386, 99625 88976 (0413) 420 5444
Mail : projects@lemenizinfotech.com
Mobile : 9566355386 / 9962588976
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.
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.
Eye Gaze Estimation Invisible and IR Spectrum for Driver Monitoring Systemsipij
Driver monitoring system has gained lot of popularity in automotive sector to ensure safety while driving.
Collisions due to driver inattentiveness or driver fatigue or over reliance on autonomous driving features
arethe major reasons for road accidents and fatalities. Driver monitoring systems aims to monitor various
aspect of driving and provides appropriate warnings whenever required. Eye gaze estimation is a key
element in almost all of the driver monitoring systems. Gaze estimation aims to find the point of gaze which
is basically,” -where is driver looking”. This helps in understanding if the driver is attentively looking at
the road or if he is distracted. Estimating gaze point also plays important role in many other applications
like retail shopping, online marketing, psychological tests, healthcare etc. This paper covers the various
aspects of eye gaze estimation for a driver monitoring system including sensor choice and sensor
placement. There are multiple ways by which eye gaze estimation can be done. A detailed comparative
study on two of the popular methods for gaze estimation using eye features is covered in this paper. An
infra-red camera is used to capture data for this study. Method 1 tracks corneal reflection centre w.r.t the
pupil centre and method 2 tracks the pupil centre w.r.t the eye centre to estimate gaze. There are
advantages and disadvantages with both the methods which has been looked into. This paper can act as a
reference for researchers working in the same field to understand possibilities and limitations of eye gaze
estimation for driver monitoring system.
Impaired driving detection using textile sensorsLeMeniz Infotech
Impaired Driving Detection Using Textile Sensors
Statistical data shows that driving-related accidents and human casualties caused by vehicles are on the rise in the US and globally. Most of these accidents are caused by impaired or distracted driving. To address this problem we present, a system that uses capacitive textile sensors embedded into car seats, headrests, and arm rests to capture whole body motion. The system also uses inertial and GPS sensors for determining vehicle speed and turns. Using a combination of these sensors and a tiered signal processing algorithm, we infer attributes that are indicative of impaired driving.
Web : http://www.lemenizinfotech.com
web : http://www.lemenizinfotech.com/embedded-ieee-projects-2016-2017/
Web : http://ieeemaster.com
Web : http://ieeemaster.com/embedded-ieee-projects-2016-2017/
Address: 36, 100 Feet Road(Near Indira Gandhi Statue), Natesan Nagar, Pondicherry-605 005
Contact numbers: +91 95663 55386, 99625 88976 (0413) 420 5444
Mail : projects@lemenizinfotech.com
Mobile : 9566355386 / 9962588976
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
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.
Real Time Detection System of Driver FatigueIJCERT
The leading cause of vehicle crashes and accidents is the driver distraction. With the rapid development of motorization, driver fatigue has become a very serious traffic problem. Reasons for traffic accidents are driving after alcohol consumption, driving at night, driving without taking rest, aging, sleepiness, and fatigue occurred due to continuous driving, long working hours and night shifts. So to reduce rate of accidents due to above reasons, is aim of this project. This paper presents a method for detection of early signs of fatigue using feature extraction, Haar classifier and delivering of information and whereabouts of the driver to the emergency contact numbers.
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.
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
Eye Gesture Analysis for Prevention of Road Accidentsijsrd.com
Around the globe, death is a daily occurrence mainly due to accidents. Research has been conducted intensively to attempt reduce accidents and extemporize the Driver Assistance System. The core idea for this paper is depicted through a process evolved to enhance effectively the Intelligent Driver assistance system and also a safety system to access the driver's perspectives with vehicles. The system uses a dynamic CCD camera in the vehicle that observes the driver's face. A prototype to match the approach is used to compare the Driver's eye pattern with a set of existing templates of the driver gazing at various focal points inside the vehicle. The windscreen is further divided into segments and a comparison of the driver's eye gaze pattern with the existing stencil determines the driver's view point on the windscreen. For instance, in case the driver is detected to be drowsy with closed eyelids for more than a few seconds then he will be alerted automatically.
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.
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.
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
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.
Real Time Detection System of Driver FatigueIJCERT
The leading cause of vehicle crashes and accidents is the driver distraction. With the rapid development of motorization, driver fatigue has become a very serious traffic problem. Reasons for traffic accidents are driving after alcohol consumption, driving at night, driving without taking rest, aging, sleepiness, and fatigue occurred due to continuous driving, long working hours and night shifts. So to reduce rate of accidents due to above reasons, is aim of this project. This paper presents a method for detection of early signs of fatigue using feature extraction, Haar classifier and delivering of information and whereabouts of the driver to the emergency contact numbers.
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.
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
Eye Gesture Analysis for Prevention of Road Accidentsijsrd.com
Around the globe, death is a daily occurrence mainly due to accidents. Research has been conducted intensively to attempt reduce accidents and extemporize the Driver Assistance System. The core idea for this paper is depicted through a process evolved to enhance effectively the Intelligent Driver assistance system and also a safety system to access the driver's perspectives with vehicles. The system uses a dynamic CCD camera in the vehicle that observes the driver's face. A prototype to match the approach is used to compare the Driver's eye pattern with a set of existing templates of the driver gazing at various focal points inside the vehicle. The windscreen is further divided into segments and a comparison of the driver's eye gaze pattern with the existing stencil determines the driver's view point on the windscreen. For instance, in case the driver is detected to be drowsy with closed eyelids for more than a few seconds then he will be alerted automatically.
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.
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.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
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Water scarcity is the lack of fresh water resources to meet the standard water demand. There are two type of water scarcity. One is physical. The other is economic water scarcity.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Vaccine management system project report documentation..pdfKamal Acharya
The Division of Vaccine and Immunization is facing increasing difficulty monitoring vaccines and other commodities distribution once they have been distributed from the national stores. With the introduction of new vaccines, more challenges have been anticipated with this additions posing serious threat to the already over strained vaccine supply chain system in Kenya.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
Maintaining high-quality standards in the production of TMT bars is crucial for ensuring structural integrity in construction. Addressing common defects through careful monitoring, standardized processes, and advanced technology can significantly improve the quality of TMT bars. Continuous training and adherence to quality control measures will also play a pivotal role in minimizing these defects.