scholarly journals Design of Driver Alcohol Detection System with Automatic Engine Locking

2021 ◽  
Author(s):  
Salman Ahmad Siddiqui ◽  
Neda Fatima ◽  
Anwar Ahmad
Keyword(s):  
Detection System ◽  
Integrated Design ◽  
Drunk Driving ◽  
Road Transport ◽  
Alcohol Concentration ◽  
Design Environment ◽  
Middle Income ◽  
Premature Deaths ◽  
Breath Testing ◽  
Drunken Driving

Drunken Driving is one of the most fatal causes of premature deaths around the world. According to WHO, about 20% of the fatally injured drivers have excess alcohol in their blood in high income countries whereas the figures may be as high as 69% in low and middle income countries. In India alone, there have been 38,000 road mishaps due to drunk driving in the past three years according to the latest report of Ministry of Road Transport and Highways. The objective of this paper is to make human driving safer and overcome such incidences. The present paper describes the process of detection of alcohol in sample breath testing, developed using Arduino and Arduino Integrated Design Environment (IDE). The system will sense the alcohol concentration in breath and control the switching of ignition engine according the data it receives. Also, it allows the driver a delay time in case the breath is detected after the vehicle has started to avoid traffic mismanagement. Finally, it will send an SMS alert to his/her relatives/close friends to alert them of possible drunken driving incident and prevent it.

Automatic Alcohol Detection System

2021 ◽  
Vol 9 (8) ◽  
pp. 1273-1279
Author(s):  
Prof. Pranjal Jog
Keyword(s):  
Law Enforcement ◽  
Detection System ◽  
Alcohol Concentration ◽  
Virtual Instrumentation ◽  
Locking Mechanism ◽  
Breath Testing ◽  
Keywords Alcohol ◽  
Drunken Driving ◽  
And Control ◽  
Opening Up

Abstract: In pretty much every industry and field, innovation keeps on disturbing old frameworks and opening up new pathways. Not more so than in the field of law enforcement, where analysts, designers, and tech virtuosos are chipping away at further developed apparatuses not exclusively to uphold DUI, yet additionally to forestall it. Maybe the most encouraging of these drives is the Alcohol Safety Detection System, fostering an innovation that will consequently keep an intoxicated driver from driving an engine vehicle, an attempt will be made to fabricate a locking mechanism for vehicles so it would not begin without an Alcohol detection system. This paper portrays a driver alcohol concentration detection framework dependent on breath testing, created utilizing a microcontroller Compatible Compiler, that permits the program of microcontroller boards. The framework can gauge the liquor from the breath test and control the activity of the vehicle start framework to forestall smashed driving. Additionally, the utilization of virtual instrumentation gives high adaptability, in contrast to traditional methods. Drunken driving has become a significant problem in present-day culture. It is a typical reason for vehicle crashes including human mistakes. This venture focused on developing a system to prevent, in anticipation of making everyday traffic safe. Keywords: Alcohol safety detection system, MQ3 sensor, Arduino UNO.

Research on the Drunk Driving Intelligent Test System Based on μC/OS-II

2014 ◽  
Vol 539 ◽  
pp. 538-542
Author(s):  
Bing Guo Liu ◽  
Yun Han ◽  
Bing Zhao
Keyword(s):  
Detection System ◽  
Drunk Driving ◽  
Test System ◽  
Alcohol Concentration ◽  
Detection Sensitivity ◽  
Signal Interference ◽  
Application Layer ◽  
Accurate Identification ◽  
Hardware System ◽  
Low Sensitivity

The article design the hardware system scheme using STM32F407 as the control core circuit, and designed the software structure of the system and application layer multi task and priority based on transplanted μC/OS operating system. Aimed at that the traditional drunk driving detection system has low sensitivity and unable to distinguish diffuse alcohol signal interference. For accurate identification of pilot and crew alcohol concentration, the paper puts forward a driving intelligent identification wine system based on embeddedμC/OS-II. The experimental results show that the detection sensitivity of the system has high accuracy rate, effectively prevent the purpose for the prevention of drunk driving, drunk driving has very good practical value.

An Prevent Drunk Driving System Based on Embedded System

2014 ◽  
Vol 1008-1009 ◽  
pp. 1521-1524
Author(s):  
Yi Xian Chen
Keyword(s):  
Embedded System ◽  
Liquid Crystal Display ◽  
Drunk Driving ◽  
Alcohol Concentration ◽  
Text Messages ◽  
System Stability ◽  
Functional Modules ◽  
Driving System ◽  
Stability And Accuracy ◽  
The Voice

In this paper, a kind of prevent drunk driving system is designed, which is based on the ARM9 core, alcohol detection module, GPS module, GSM module, voice module, LCD (Liquid Crystal Display), power and other functional modules are included in this new system. The system detect alcohol concentration, prevent drunk driving through the voice prompt and send text messages to a preset phone number. The system has absorbed the idea that most of the hardware functionality through software modular, so the circuit in the system is simple and that makes the system stability and accuracy greatly improved.

4. Are a Blood Alcohol Concentration of 256mg/dl and Minimal Signs of Impairment Reliable Indications of Alcohol Dependence?

1994 ◽  
Vol 34 (3) ◽  
pp. 265-270 ◽  
Author(s):  
A W Jones
Keyword(s):  
Expert Witness ◽  
Blood Alcohol Concentration ◽  
Drunk Driving ◽  
Alcohol Concentration ◽  
Driving Under The Influence ◽  
Blood Alcohol ◽  
Lower Court ◽  
Dna Profile ◽  
Court Of Appeals ◽  
Driving Scenario

This article describes a drink-driving scenario where a woman was apprehended for driving under the influence (DUI) with a blood alcohol concentration (BAC) of 256mg/dl1 The correctness of this result was vigorously challenged by a medical expert witness for the defence, who was actually a specialist in alcohol diseases. Despite reanalysis to confirm the BAC as well as a DNA profile to prove the identity of the blood specimen, the woman was acquitted of the charge of drunk driving by the lower court. However, she was subsequently found guilty in the High Court of Appeals with a unanimous decision and sentenced to four weeks imprisonment. This case report illustrates some of the problems surrounding the use of expert medical evidence by the defence to challenge the validity of the prosecution evidence based solely on a suspect's BAC. In situations such as these, an expert witness should be called by the prosecution to clarify and, if necessary, rebut medical and/or scientific opinions that might mislead the court and influence the outcome of the trial.

scholarly journals Epidemics, Lockdown Measures and Vulnerable Populations: A Mixed-Methods Systematic Review of the Evidence of Impacts on Mother and Child Health in Low-And- Lower Middle-Income Countries

2021 ◽  
Author(s):  
Giuliano Russo ◽  
Tiago Silva Jesus ◽  
Kevin Deane ◽  
Abdinasir Yusuf Osman ◽  
David McCoy
Keyword(s):  
Systematic Review ◽  
Mixed Methods ◽  
Inclusion Criteria ◽  
Middle Income ◽  
Middle Income Countries ◽  
Premature Deaths ◽  
Trade Offs ◽  
Mother And Child ◽  
New Research ◽  
The Impact

Background: The aim of this research was to synthetise the existing evidence on the impact of epidemic-related lockdown measures on women and children’s health in low-and-lower-middle-income countries. Methods: A mixed-methods systematic review was conducted of qualitative, quantitative and mixed-methods evidence. Between November 1st-10th 2021, seven scientific databases were searched. The inclusion criteria were that the paper provided evidence on the impact of lockdown and related measures, focused on low-and-lower-middle-income countries, addressed impacts on women and child’s health, addressed epidemics from 2000-2020, was peer-reviewed, provided original evidence, and was published in English. The Joanne Briggs Institute’s critical appraisal tools were used to assess the quality of the studies, and the PRISMA guidelines for reporting. The evidence from the papers was grouped by type of lockdown measure and categories of impact, using a narrative data-based convergent synthesis design. Results: The review process identified 46 papers meeting the inclusion criteria from 17 countries whichall focussed on the COVID-19 and Ebola epidemics. The evidence on the decrease of utilisation of health services showed plummeting immunisation rates and faltering use of maternal and perinatal services, which was linked to a growth of premature deaths. Impacts on the mental health of children and women is well-established, with lockdowns associated with surges in depression, anxiety and low life satisfaction. Vulnerability may be compounded by lockdowns, as livelihoods are disrupted, and poverty levels increase. Conclusion: Limitations included that searches were conducted in late-2020 as new research was being published, and that some evidence not published in English may have been excluded. Epidemic-related lockdown measures carry consequences for the health of women and children in lower-income settings. Governments will need to weigh the trade-offs of introducing such measures and consider policies to mitigate their impacts on the most vulnerable.

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