IOT based Accident Prevention and Detection System using GSM-GPS, Eye blink, and Alcohol Sensor

Detection of drowsiness of driver is a vehicle safety technology, which helps to put off accidents which caused by the driver being dozy. A variety of studies have recommended that around 20% of all road accidents are due to drowsiness of the driver. The developments of technologies for detecting or preventing drowsiness while driving is a major confront in accident evasion systems. Because of the peril of the tiredness while driving, different new methods need to be developed for counteracting the effect. The paper is based on a example for detection of drowsiness system. The intend of this paper is design of an automated system for safety of driver from improper driving. The system is designed such that it will precisely scrutinize the eye blink. In this paper, the eye blink of the driver is detected by using eye blink sensor which is IR based. The disparity across the eye will vary as per eye blink.The output is high, if the eye is closed or else output is low. It indicates closing or opening position of an eye. TheIR outputis given to circuit to signify the alarm. The controller will send a warning signal so that it is displayed on liquid crystal display screen. The buzzer, which is placed near the driver, will be activated and alters the driver when he falls asleep during driving. The alcohol sensor is also used to detect whether the driver is drunken which avoids accident caused by the drunken drivers. According to the intensity of light, the lights will be ON or OFF inside the vehicle, this saves power consumption. Tilt sensor is also used to detect whether the vehicle met with an accident or not.

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EEG-Eye Blink Detection System for Brain Computer Interface

Converging Clinical and Engineering Research on Neurorehabilitation - Biosystems & Biorobotics ◽

10.1007/978-3-642-34546-3_98 ◽

2013 ◽

pp. 603-608 ◽

Cited By ~ 3

Author(s):

S. Rihana ◽

P. Damien ◽

T. Moujaess

Keyword(s):

Detection System ◽

Brain Computer Interface ◽

Computer Interface ◽

Eye Blink ◽

Blink Detection

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AN IMPROVED AND PORTABLE EYE-BLINK DURATION DETECTION SYSTEM TO WARN OF DRIVER FATIGUE

Instrumentation Science & Technology ◽

10.1080/10739149.2013.796560 ◽

2013 ◽

Vol 41 (5) ◽

pp. 429-444 ◽

Cited By ~ 14

Author(s):

Chin-Shun Hsieh ◽

Cheng-Chi Tai

Keyword(s):

Detection System ◽

Driver Fatigue ◽

Eye Blink

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A Vehicle On-Board Alcohol Detection System Based on Integrated Multi-Sensors

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.490-495.91 ◽

2012 ◽

Vol 490-495 ◽

pp. 91-94 ◽

Cited By ~ 1

Author(s):

Li Fu ◽

Jun Xiang Wang

Keyword(s):

Embedded System ◽

Information Fusion ◽

Detection System ◽

High Sensitivity ◽

Visual Sensor ◽

Dangerous Driving ◽

Alcohol Sensor ◽

Single Sensor ◽

Sensor Information ◽

Current Detection

A design and implementation of a detection system for dangerous driving was proposed based on multi-sensor-fusion. It is actually an embedded system consisting of visual,sensor, acceleration sensor, alcohol sensor input, and ARM cortex-M3 microcontroller. Experiment results show that the system has high linearity, high sensitivity,and excellent real-time performance. It can be further used to validate the multi-sensor information fusion algorithms in the field for improving the low reliability of the current detection by using one single-sensor method

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Smart Assistant for Accident Prevention and Rescue

10.36227/techrxiv.14420315 ◽

2021 ◽

Author(s):

Yaswanth Pagadala

Keyword(s):

Human Life ◽

Vital Role ◽

Accident Prevention ◽

Ultrasonic Sensor ◽

Vibration Sensor ◽

Late Arrival ◽

Rescue Team ◽

Alcohol Sensor ◽

Project Prevention ◽

Death Cases

Travelling is playing a vital role in human life, now it has turned to be dangerous due to accidents. In a survey, Govt declared that more than 1.5 lakhs people are expiring in a year via mishap. More-over in the reported death cases two-third victims die due to late arrival of rescue team. In our project Prevention with alcohol sensor & we are interfacing GSM, GPS, Vibration sensor to know the accident occurrence and place of occurrence and sending message to the rescue team to save the victims as soon as possible. If the route is not visible (due to fog) through Ultrasonic sensor we can drive safely to our destination.

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Eye Blink Detection System for Paralyzed Patients

International Journal of Recent Technology and Engineering - 2 ◽

10.35940/ijrte.f7368.038620 ◽

2020 ◽

Vol 8 (6) ◽

pp. 333-336

Keyword(s):

Motor Neurons ◽

Detection System ◽

Brain Wave ◽

Eye Blink ◽

Video Oculography ◽

Incurable Disease ◽

Blink Detection ◽

Wave Technique ◽

Paralyzed Patient ◽

Visual Technologies

Paralysis of an human being is caused due to the degeneration of motor neurons which weakens the muscle, so that it does not allow patient to move, speak, breathe , and loss in the voluntary actions. It is an incurable disease. To understand the feelings of a paralyzed patients Brain wave technique and Electro-oculography techniques were used. These techniques are afflictive, discomfortable and leads to unconsciousness of the paralyzed patient. The real time video oculography system fills the communication gap between the patient and the world. Video Oculography (VOG) is video-based method of measuring the vertical, torsional and horizontal position components of both the eye blinks with the help of small cameras placed in the head-mounted mask .This paper presents different visual technologies, such as eye blink detection, eye center localization and conversion of the eye blink to speech. The video oculography could achieve accuracy of 0.968.

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