scholarly journals Drivers' Real-Time Drowsiness Identification Using Facial Features and Automatic Vehicle Speed Control

2021 ◽  
Vol 3 (1) ◽  
pp. 44-52
Author(s):  
Natraj N.A ◽  
Bhavani S
Keyword(s):  
Real Time ◽  
Image Recognition ◽  
Warning System ◽  
Speed Control ◽  
Facial Features ◽  
Vehicle Speed ◽  
Road Accidents ◽  
The Road ◽  
Driver Drowsiness ◽  
Road Crash

The road crash is one of the significant problems that is of great concern in today's world. Road accidents are often caused by drivers' carelessness and negligence. The drowsy condition of the drivers, which occurs due to overwork, fatigue, and many other factors, is one of those causes. It is therefore most critical to establish systems that can detect the driver's drowsy state and provide the drivers with the appropriate warning system. In addition to the automatic speed control of the car, this system thus supports drivers in incidents by providing warnings in advance. This means that road collisions that are harmful to living lives are minimised. This is achieved by using the technique of image recognition, where driver drowsiness is observed, and using this method, simultaneous warning and speed monitoring of the vehicle is carried out.

Collecting Vehicle-Speed Data by Using Time-Lapse Video Recording Equipment

2003 ◽  
Vol 1855 (1) ◽  
pp. 97-104 ◽  
Author(s):  
Christopher Strong ◽  
Scott Lowry ◽  
Peter McCarthy
Keyword(s):  
Real Time ◽  
Video Recording ◽  
Warning System ◽  
Time Lapse ◽  
Vehicle Speed ◽  
Recording Equipment ◽  
Safety Improvement ◽  
Camera Location ◽  
Message Signs ◽  
Time Lapse Video

An innovative application of time-lapse video recording is used to assist in an evaluation of a highway safety improvement. The improvement is an icy-curve warning system near Fredonyer Summit in northern California that activates real-time motorist warnings via extinguishable message signs, based on weather readings collected from road weather information systems. A measure of effectiveness is whether motorist speed is reduced as a result of real-time warnings to drivers. Why indirect speed measurement with video was preferred over radar for this case is discussed, as is how specific methodological issues related to the custom-built equipment, including camera location and orientation, distance benchmarking, and data collection and reduction. Theoretical and empirical accuracy measurements show that the video surveillance trailers yield results comparable to radar and, hence, would be applicable for studies in which speed change is measured. Because this particular technology had not been used previously, several lessons are documented that may help determine where and how similar equipment may be optimally used in future studies.

Real-Time Warning System for Driver Drowsiness Detection Using Visual Information

2009 ◽  
Vol 59 (2) ◽  
pp. 103-125 ◽  
Author(s):  
Marco Javier Flores ◽  
José María Armingol ◽  
Arturo de la Escalera
Keyword(s):  
Real Time ◽  
Visual Information ◽  
Warning System ◽  
Drowsiness Detection ◽  
Driver Drowsiness

scholarly journals Real-Time Driver Drowsiness Detection using Computer Vision

2021 ◽  
Vol 11 (1) ◽  
pp. 109-113
Author(s):  
Mahek Jain ◽  
◽  
Bhavya Bhagerathi ◽  
Dr. Sowmyarani C N ◽  
◽  
...  
Keyword(s):  
Computer Vision ◽  
Aspect Ratio ◽  
Real Time ◽  
Threshold Value ◽  
Transportation Safety ◽  
Road Accidents ◽  
Text To Speech ◽  
Upper Lip ◽  
Lower Lip ◽  
Driver Drowsiness

The proposed system aims to lessen the number of accidents that occur due to drivers’ drowsiness and fatigue, which will in turn increase transportation safety. This is becoming a common reason for accidents in recent times. Several faces and body gestures are considered such as signs of drowsiness and fatigue in drivers, including tiredness in eyes and yawning. These features are an indication that the driver’s condition is improper. EAR (Eye Aspect Ratio) computes the ratio of distances between the horizontal and vertical eye landmarks which is required for detection of drowsiness. For the purpose of yawn detection, a YAWN value is calculated using the distance between the lower lip and the upper lip, and the distance will be compared against a threshold value. We have deployed an eSpeak module (text to speech synthesizer) which is used for giving appropriate voice alerts when the driver is feeling drowsy or is yawning. The proposed system is designed to decrease the rate of accidents and to contribute to the technology with the goal to prevent fatalities caused due to road accidents.

scholarly journals SMART WARNING SYSTEM USING EDGE COMPUTING

2021 ◽  
Author(s):  
Devi R
Keyword(s):  
Mobile Phones ◽  
Warning System ◽  
Edge Computing ◽  
Road Accidents ◽  
Human Errors ◽  
The Road ◽  
Computing Paradigm ◽  
Road Users ◽  
The People ◽  
General Rules

<div>In recent years, the occurrence of road accidents increases drastically. There are many factors influencing the road accidents. Nowadays usage of mobile phones while driving is common but it leads to the distraction in driving and subsequently causes accidents. Though jurisdictions are made that usage of electronic devices such as mobile phones, tablets, laptops while driving are illegal, no one is aware of that. The drivers who use mobile gadgets while driving not only risk their lives but also the people around them. Most of the road users are well aware of the general rules and safety measures. However due to human errors, accidents occur. To overcome from the human errors this paper focuses on developing a security alert system for drivers using edge computing paradigm.</div>

scholarly journals SMART WARNING SYSTEM USING EDGE COMPUTING

2021 ◽  
Author(s):  
Devi R
Keyword(s):  
Mobile Phones ◽  
Warning System ◽  
Edge Computing ◽  
Road Accidents ◽  
Human Errors ◽  
The Road ◽  
Computing Paradigm ◽  
Road Users ◽  
The People ◽  
General Rules

<div>In recent years, the occurrence of road accidents increases drastically. There are many factors influencing the road accidents. Nowadays usage of mobile phones while driving is common but it leads to the distraction in driving and subsequently causes accidents. Though jurisdictions are made that usage of electronic devices such as mobile phones, tablets, laptops while driving are illegal, no one is aware of that. The drivers who use mobile gadgets while driving not only risk their lives but also the people around them. Most of the road users are well aware of the general rules and safety measures. However due to human errors, accidents occur. To overcome from the human errors this paper focuses on developing a security alert system for drivers using edge computing paradigm.</div>

Research on Exploitation Technology of Snow Disaster Forecast Warning System on Roads

2014 ◽  
Vol 533 ◽  
pp. 350-353
Author(s):  
Ye Dan Wang ◽  
Yong Chun Cheng ◽  
Peng Zhang ◽  
Jing Lin Tao ◽  
Ya Feng Gong
Keyword(s):  
Real Time ◽  
Snow Depth ◽  
Warning System ◽  
Automatic Monitoring ◽  
Laser Ranging ◽  
The Road ◽  
The Status

Through using the technology of laser ranging and establishing the stations which can monitor snow depth automatically, a real-time, continuous and automatic monitoring for the status of snow-covered roads was achieved. In this paper, forecast warning system was constructed. Firstly, the data of snow depth was transmitted to database using GPRS technology. Then the snow disaster was evaluated quantitatively according to the existing criteria, and the evaluation results were stored back to the database. Finally, the evaluation results about snow disaster were published through the publishing platform. The results indicated that the forecast warning system was stable and fast, which could estimate the road snow disaster levels accurately.

scholarly journals IOT Based Vehicle Speed Control Automatically in Restricted Areas using RFID

2018 ◽  
Vol 7 (3.31) ◽  
pp. 72
Author(s):  
K N. V. Satyanarayana ◽  
G Yaswanthini ◽  
P L. Kartheeka ◽  
N Rajkumar
Keyword(s):  
Speed Control ◽  
Vehicle Speed ◽  
Road Accidents ◽  
Rf Transmitter ◽  
School Zones

Now-a-days road accidents are occurring frequently, due to rash driving of people.  The most unfortunate thing is that by making small mistakes during driving, we lost our valuable future. If we observe, most of the accidents will occur at school zones, parks, hospitals, hill areas and highways. Even a police also can’t monitor all such kind of accidents. So in order to reduce the number of accidents and to control the vehicle speed the highway department has placed the signboards. But it is difficult to observe such kind of signboards and hence accidents will occur. This paper will provide a new way for controlling the speed of the vehicle without harming others. In this paper, we are using RFID module to limit vehicle speed. The RF transmitter will be placed at first and last of the restricted areas and RFID receiver should be placed inside the vehicle. The vehicle speed was obtained by speedometer which is available in vehicle. And that speed is compared and monitored by the controller. If the vehicle speed exceeds the limited speed, It automatically controls the speed of the vehicle according to that particular zone. Hence, automatically the speed reduced. If there is any emergency, a switch will be available in the vehicle. When the switch is ON, the speed is not controlled automatically. The vehicle which is switched ON, that vehicle number was stored in cloud. Here the main purpose of cloud is it loads the route map of the vehicle.  

scholarly journals Driver Drowsiness Detection System Based on Eyes, Mouth and Head Tilt

2020 ◽  
Vol 9 (5) ◽  
pp. 506-511
Keyword(s):  
Detection System ◽  
Head Tilt ◽  
Road Accident ◽  
Economic Losses ◽  
Road Accidents ◽  
Essential Requirement ◽  
Automobile Manufacturing ◽  
The Road ◽  
Driver Drowsiness ◽  
The Universe

The modernization of the automobile manufacturing automatically increases the number of automobiles on transportation way. Day by day with the quick increase in automobiles, the number of road accidents seems to be drastically increasing. In our daily life accidents are common phenomenon. In the Universe, yearly the accidents on road may cause fatal injuries, death and economic losses. Drowsiness of the driver may be one of the prime causes for accidents on the way and the driver is prone to a possible accident. So it is essential requirement to find the driver’s drowsiness to reduce the road accident rates. In this paper we proposed a system to find the driver drowsiness based on eye, mouth and head tilt. This system is helpful to monitor a driver’s observance level and warns him for a significant part in avoiding road mishaps.

scholarly journals SSW: Smart Steering Wheel for Real-Time Heart Rate Monitoring of Drivers

2020 ◽  
Vol 9 (4) ◽  
pp. 3040-3043
Keyword(s):  
Heart Rate ◽  
Real Time ◽  
Health Condition ◽  
World Health ◽  
Steering Wheel ◽  
Road Accidents ◽  
The Road ◽  
Related Data ◽  
Rescue Team ◽  
On The Road

It’s very hard to know that Over 467,044 accidents took place specifically on the road in our country in 2018 as per a report revealed by the MoRTH recently. Rapid increasing in numbers of vehicles on the road, stress level of drivers in traffic and even lethargic driving are few reasons for road accidents. Unfortunately, sudden heart attacks of drivers also a reason behind some road accidents; this can be preventable. During driving, monitoring heart rate is not a big deal in today’s hi-tech world. Health monitoring while driving is not only important in daily healthcare, also a prevention of bus accidents. Here the proposed work is designing a smart steering wheel based on the technology so-called the Internet of Things (IoT) that monitors the heart rate and foresees the onslaught of fatigue of a driver; also it shares the location to the rescue team. Pulse sensor, GPS and GSM modules are conjoined into the steering wheel. The setup once it gets powered-up, which transmits the data of a driver’s health condition and get stored in the cloud environment. By this approach, the steering wheel gives the real-time based monitoring. Therefore this work is aiming for the development of a system which includes multiple sensors incorporated with the steering wheel which is capable to measure the pulse rate and alert the rescue team dynamically about the health related data of a driver, to prevent accidents.

A Simulation Study of Vehicle Curve Speed Control System

2006 ◽  
Author(s):  
Yong H. Lee ◽  
Weiwen Deng
Keyword(s):  
Control System ◽  
Coming Out ◽  
Vision System ◽  
Speed Control ◽  
Vehicle Speed ◽  
Speed Profile ◽  
Simulation Studies ◽  
Lateral Dynamics ◽  
The Road ◽  
Speed Control System

In this paper, a speed control system for vehicle approaching, traveling, and coming out of a curve is investigated using simulation. In order to assist driver in ahcieving safer and more comfortable curve following performance, vehicle speed is controlled using the preview data of the road ahead, which is obtained from the GPS and Map or vision system. The control system is comprised of a method for determining a desired curve speed profile to help achieve the best cornering performance for an up-coming curve and regulating vehicle speed toward the desired speed. The lateral dynamics of vehicle is used for computing the desired speed for a curve. From the current vehicle speed and the desired speed profile, the acceleration profile for a curve ahead of the vehicle is computed. Then, the acceleration command is generated to slow the vehicle so the driver can achieve the optimal curve following. From the simulation studies, it is concluded that the system can potentially improve driver cornering performance.

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