Intelligent Alcohol Detection System for Car Drivers

Das, Rahul K.; Chattopadhyay, Oishik; Biswas, Pratnadeep; Das, Monoram; Chatterjee, Sumanta; Paul, Apurba

doi:10.2139/ssrn.3526008

Cited by 6 publications

(2 citation statements)

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“…Daw Khaing Zar Win [53] presented an alcohol detection system that can switch off vehicles upon sensing the presence of alcohol and report to an assigned phone number in case of an accident. Das et al [54] developed a detection system for alcohol presence and the drowsiness of the driver using an eye-blink sensor, which provides further safety precautions. Wakana et al [55] developed a detection system that can report the presence of alcohol and the presence of a human being in ambient surroundings by sensing the humidity of human breath.…”

Section: Introductionmentioning

confidence: 99%

Development and Performance Evaluation of an IoT-Integrated Breath Analyzer

Khamis

Idris

Abdellatif

et al. 2023

IJERPH

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Although alcohol consumption may produce effects that can be beneficial or harmful, alcohol consumption prevails among communities around the globe. Additionally, alcohol consumption patterns may be associated with several factors among communities and individuals. Numerous technologies and methods are implemented to enhance the detection and tracking of alcohol consumption, such as vehicle-integrated and wearable devices. In this paper, we present a cellular-based Internet of Things (IoT) implementation in a breath analyzer to enable data collection from multiple users via a single device. Cellular technology using hypertext transfer protocol (HTTP) was implemented as an IoT gateway. IoT integration enabled the direct retrieval of information from a database relative to the device and direct upload of data from the device onto the database. A manually developed threshold algorithm was implemented to quantify alcohol concentrations within a range from 0 to 200 mcg/100 mL breath alcohol content using electrochemical reactions in a fuel-cell sensor. Two data collections were performed: one was used for the development of the model and was split into two sets for model development and on-machine validation, and another was used as an experimental verification test. An overall accuracy of 98.16% was achieved, and relative standard deviations within the range from 1.41% to 2.69% were achieved, indicating the reliable repeatability of the results. The implication of this paper is that the developed device (an IoT-integrated breath analyzer) may provide practical assistance for healthcare representatives and researchers when conducting studies involving the detection and data collection of alcohol consumption patterns.

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Section: Introductionmentioning

confidence: 99%

Development and Performance Evaluation of an IoT-Integrated Breath Analyzer

Khamis

Idris

Abdellatif

et al. 2023

IJERPH

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“…The authors examine the various detection technologies that are now available, highlighting their advantages and disadvantages as well as difficulties in their adoption and application. Provide a review of the adoption and use of alcohol ignition interlock regulations in the US, which mandate that drivers convicted of driver utility [19], [20]. The authors evaluate the effectiveness of these laws in reducing DUI recidivism and discuss challenges to their implementation and enforcement.…”

mentioning

confidence: 99%

Design and implementation of an alcohol detection driver system

Alabi,

Adeaga,

Ajagbe

et al. 2024

IJRES

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A technology called an alcohol detection driver system is used to stop drunk driving by identifying alcohol in a motorist's breath or blood. This technology correctly measures the amount of alcohol a driver has in their system using sensors and algorithms, and it stops the car from starting if the amount is more than the legal limit. The number of fatal accidents and traffic fatalities caused by drinking could be greatly decreased thanks to this technology. The main focus of this project is to carry out the experiment in lowering the number of alcohol-related incidents on the road. Alcohol detection devices come in a variety of forms right now, including ignition interlocks, passive alcohol sensors, and in-car breathalyzers. Although these systems have reduced the number of drunk driving accidents, there remain questions about their efficiency, dependability, and cost. According to the sensor's specs, the output voltage of the MQ-3 sensor reduces by 69% during the sensor's recovery period of 30 seconds at 69% of baseline resistance. To assess the long-term viability and efficiency of these systems in lowering alcohol-related accidents and enhancing traffic safety, more research is required.

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Analysis of Breathalyzer Effect on a Passenger Vehicle

Dhanasekaran

Reddy

et al. 2022

Lecture Notes in Mechanical Engineering

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Intelligent Alcohol Detection System for Car Drivers

Cited by 6 publications

References 0 publications

Development and Performance Evaluation of an IoT-Integrated Breath Analyzer

Development and Performance Evaluation of an IoT-Integrated Breath Analyzer

Design and implementation of an alcohol detection driver system

Analysis of Breathalyzer Effect on a Passenger Vehicle

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