Intelligent vehicle black box using IoT

Kumar, M. Anil; Suman, M Venkata; Misra, Yogesh; Pratyusha, M Geetha

doi:10.14419/ijet.v7i2.7.10296

Cited by 17 publications

(4 citation statements)

References 3 publications

(3 reference statements)

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“…Although several studies were found to implement IoT with an alcohol detection technology [41,45,46,51], this paper presents a concept for implementing cellular IoT with a breath analyzer equipped with input (number pad) and output (LCD display) devices to enable using the device for collecting data from multiple participants.…”

Section: Discussionmentioning

confidence: 99%

“…Other vehicle-related technologies have been presented as well. For instance, Anil Kumar et al [51] introduced a black box that utilizes IoT technologies to detect alcohol and danger in the surroundings and act upon prepared actions such as identifying the location and alerting government representatives and emergency contacts. Nirosha et al [52] developed a prototype of a device that senses alcohol in the atmosphere of the car and then reports to the nearest police station.…”

Section: Introductionmentioning

confidence: 99%

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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: Discussionmentioning

confidence: 99%

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 study conducted by Anil Kumar et al [23] aims to enhance vehicle security and raise driver awareness through IoT technology. It continuously analyzes vehicle performance and driver behavior using various sensors, including a breath analyzer, accelerometers, and distance sensors between other vehicles.…”

Section: Related Workmentioning

confidence: 99%

Enhancing Vehicle Safety: A Comprehensive Accident Detection and Alert System

Alsayaydeh,

Yusof,

Abdillah

et al. 2023

IJACSA

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This research pioneers a ground-breaking system meticulously engineered to swiftly detect vehicular accidents and dispatch immediate alerts to both emergency services and preassigned contacts. This symphony of cutting-edge technologies includes an accelerometer sensor attuned to detect acceleration in any vector, a dynamic Liquid-Crystal Display (LCD) display for rapid alert dissemination, an assertive buzzer for resonant alarms, a Global System for Mobile (GSM) module for the swift transmission of distress messages, and pinpoint location data provided by a Global Positioning System (GPS) module. A userfriendly 'cancel' button acts as an escape hatch from potential false alarms. Orchestrated by the dexterity of an Arduino Uno microcontroller, this ensemble orchestrates a harmonious ballet of safety. This solution boasts cost-effectiveness, steadfastness, and unparalleled efficiency. Rigorous testing across diverse scenarios confirms its precision and robustness. By enhancing accident detection accuracy, expediting emergency responses, and facilitating rapid location dissemination, this innovation serves as a vital lifeline, empowering both passengers and rescue services upon accident initiation. With location data as its guiding star, emergency services gain a swift navigational edge, offering a beacon of hope in the battle against accident-related casualties.

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“…discussed a technique to transfer traffic information to the vehicle [28]. Anil Kumar explains a technique to monitor driver fatigue to prevent vehicle accident [29]. Joshua Alvaro Fitzhan explains the challenges of smart contracts and how it is used in Indonesian industries [30].…”

Section: Related Workmentioning

confidence: 99%

Preserving Privacy Techniques for Autonomous Vehicles

2020

IJETER

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In this automated world, there will be increase in population, more city development and less space for parking results in parking related problems. In our day-to-day life vehicle became an important resource. To go anyplace we require a vehicle, when we are using vehicle, parking will be the big problem. Due to insufficient parking lots and no knowledge about the parking lots (i.e., do not the parking lots places). To park a vehicle manually we have to wait in line to take the token for parking which is a time-consuming process. There is a need to find a secured, smart, efficient system for finding nearest unoccupied parking lots, to reserve parking lot, guidance to navigate to parking lot, to negotiate parking fee and finally to secure the vehicle in parking places. Smart parking system is introduced by Intelligent Transport Systems (ITS). This article gives an overview on different smart parking services like reserving parking lots, navigating to parking lots, finding nearest parking lots, how to provide security to vehicle. It shows the cons and pros of every smart parking system.

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Intelligent vehicle black box using IoT

Cited by 17 publications

References 3 publications

Development and Performance Evaluation of an IoT-Integrated Breath Analyzer

Development and Performance Evaluation of an IoT-Integrated Breath Analyzer

Enhancing Vehicle Safety: A Comprehensive Accident Detection and Alert System

Preserving Privacy Techniques for Autonomous Vehicles

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