Alcohol detection and seat belt control system using Arduino

Malathi, M.; Sujitha, R.; Revathy, M.

doi:10.1109/iciiecs.2017.8275841

Cited by 16 publications

(7 citation statements)

References 1 publication

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“…Therefore, we emphasize that future work in this direction will aim at methods and techniques of learning and image processing leading to an ideal solution for implementation in production. According to the obtained results, a representative graphical simulation was generated in Figure 17 with the data extracted from the procedures [93,94].…”

Section: Experimental Evaluation and Practical Resultsmentioning

confidence: 99%

Inter-Urban Analysis of Pedestrian and Drivers through a Vehicular Network Based on Hybrid Communications Embedded in a Portable Car System and Advanced Image Processing Technologies

Zadobrischi

Dimian

2021

Remote Sensing

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Vehicle density and technological development increase the need for road and pedestrian safety systems. Identifying problems and addressing them through the development of systems to reduce the number of accidents and loss of life is imperative. This paper proposes the analysis and management of dangerous situations, with the help of systems and modules designed in this direction. The approach and classification of situations that can cause accidents is another feature analyzed in this paper, including detecting elements of a psychosomatic nature: analysis and detection of the conditions a driver goes through, pedestrian analysis, and maintaining a preventive approach, all of which are embedded in a modular architecture. The versatility and usefulness of such a system come through its ability to adapt to context and the ability to communicate with traffic safety systems such as V2V (vehicle-to-vehicle), V2I (vehicle-to-infrastructure), V2X (vehicle-to-everything), and VLC (visible light communication). All these elements are found in the operation of the system and its ability to become a portable device dedicated to road safety based on (radio frequency) RF-VLC (visible light communication).

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Section: Experimental Evaluation and Practical Resultsmentioning

confidence: 99%

Inter-Urban Analysis of Pedestrian and Drivers through a Vehicular Network Based on Hybrid Communications Embedded in a Portable Car System and Advanced Image Processing Technologies

Zadobrischi

Dimian

2021

Remote Sensing

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“…Through the GSM module, the resulting information is sent by SMS to a nearby acquaintance. Malathi et al [14] developed software in which an alcohol sensor was mounted on the steering to monitor the level of alcohol ditto the seat belt preventing the ignition from startup. Gbenga et al [15] suggested a prototype that uses an Arduino-Uno microcontroller, an alcohol sensor, an LCD screen, and a DC motor to detect alcohol and activate an engine locking mechanism.…”

Section: The 2000s Studies On Drunkometer and Breathalyzermentioning

confidence: 99%

Development of a Driver Safety Monitoring Device with Ignition Interlock

Kayode¹,

Agim²,

Afolalu³

et al. 2022

IJSSE

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Drunk driving and falling asleep on the wheel are the most prevalent causes of car accidents. We cannot ban individuals from consuming alcohol, but we can reduce the number of accidents by monitoring who is drinking and embedding safety devices in the car to ascertain that no one drinks and drives, and as well warn the driver if he or she falls asleep behind the wheel. This embedded safety system consists of an alcohol sensor, infrared sensor, motor, buzzer, and other devices that are all linked to the core microcontroller unit. An eye blink sensor was utilized to detect sleep by establishing a time limit; When the driver falls asleep. The system alerts him. The alcohol sensor detected whether or not the motorist is intoxicated. When he or she was too inebriated, the car issued a warning and the engine shuts down. Likewise, when the IR sensor detected tiredness in the driver or the alcohol sensor detected alcohol, the system notified the driver via buzzing sounds and a message on the Liquid Crystal Display (LCD) and the ignition locked further slowing the vehicle when the driver failed to respond to the alarm. The adoption of this embedded technology guarantees a method for monitoring a driver's tiredness and alcohol levels, thereby preventing car accidents before they occur.

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“…Those components are stored in database and checked for further validity. It also includes the message sending to both Arduino through GPS and GSM module [6].…”

Section: Literature Surveymentioning

confidence: 99%

Intelligent Car Anti-Theft Face Recognition System

Akila¹,

Sriharshini²,

Sravani³

et al. 2021

Int. J. Onl. Eng.

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Abstract - Security and safety of the car is the major problem of vehicle users in the present situation. The growth in Biometric Technologies has provided a way to solve the safety and security problems. Here, we use Open CV Face Detection Subsystem (FDS) which works using Global Positioning System (GPS) and Global System for Mobile Communication (GSM) module along with Arduino. This model provides a cheaper cost security system for four or more-wheeled vehicles. This project describes the foremost module for Open CV Face Detection Subsystem (FDS) which takes photos of driver using Open CV algorithm and compare it in database provided with photos of different drivers. The other modules are being useful to send all the authorized information about vehicle to the owner. The whole system works based on Arduino module. This system we can keep track of our vehicle in a very cheaper cost and more accurate. Using this system the identification of the thief will be easy and tracking the location of the car will be faster and cheaper than earlier method.

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Alcohol detection and seat belt control system using Arduino

Cited by 16 publications

References 1 publication

Inter-Urban Analysis of Pedestrian and Drivers through a Vehicular Network Based on Hybrid Communications Embedded in a Portable Car System and Advanced Image Processing Technologies

Inter-Urban Analysis of Pedestrian and Drivers through a Vehicular Network Based on Hybrid Communications Embedded in a Portable Car System and Advanced Image Processing Technologies

Development of a Driver Safety Monitoring Device with Ignition Interlock

Intelligent Car Anti-Theft Face Recognition System

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