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Swaminarayan Siddhanta Institute of Technology
Kalmeshwar, Nagpur
Department of Electronics and Communication Engineering
Session 2022-2023
“Design & Development Of Driver Safety System
With Alcohol Detection And Seat Belt Detection
Based On IoT”
Guided By :-
Prof :- POOJATHAKARE
Name of Candidate :-
PRIYANKA UKEY
Content:
1. Objective
2. Introduction
3. Problem Statement
4. Literature survey
5. Present Work
⮚ Block Diagram
⮚ Major Block of System
⮚ Algorithms/ System Design
⮚ Flowchart of Project
6. Implementation Overview
7. Applications/ Advantages
8. Conclusions & Future Scope
9. References
Objective:
To design and implement the system for driver
safety -
- Seat belt weared or not
- Alcohol detection
- Camera
- IoT updates for the seatbelt wear or not aswell
as alcohol detection
Introduction:
• On a survey that has been done recently, said that nearly 70 of
road accidents occur due to drunken drive, with a range of 44%
to 67% in small cities.
•They also conveyed that overall of 56 accidents and 14 to 15
deaths occur on our roads per day due to not wearing the seat belts.
•In the already available system, the alcohol sensor is kept on the
car steering and thereby controls the vehicle according to the
presence of alcohol.
•But road safety is indeed important in other aspect that is the
reason we are controlling the system based on the seatbelt wearing.
Problem Statement
● As per the issue of driver safety it is notice that the seat
belt is weared by driver in very less time only whenpolice
verification is occur.
● Some time seatbelt directly fix without wearing tostop
buzzer
● Need to find the solution for the seatbelt if and only if it
wears then only car will start
● Second if alcohol detected then also car will notstart
● All these data with respect to date and time car ownercan
monitor online
Literature survey :
1. Alcohol Detection and Seat Belt Control System IEEE 2019 In
the already available system, the alcohol sensor is kept on the car
steering and thereby controls the vehicle according to the presence
of alcohol. But road safety is indeed important in other aspect that
is the reason we are controlling the system based on the seatbelt
wearing.
2. Smart Car Seat Belt: Accident Detection and Emergency Services
in Smart City Environment IEEE 2021Importantly, to unlicensed
people from driving, the proposed system avails fingerprint
recognition based biometric system for driver authentication and
car ignition. Later, the system uses the information collected by
sensor mounted inside the seat belt to detect whether accident has
occurred. If accident is detected, then the driver heart beat rate is
captured using pulse sensor to conform the accident. The proposed
system demonstrated to reduce the number of false rate in accident
detection
Literature survey :
3. Intelligent Car Safety System IEEE 2016In the proposed
system the NeuroSky Mind-wave headset is used to
capture different electroencephalogram (EEG) levels. In
addition to this, a limit Switch electrical circuit is designed
and attached between the seat belt and the ignition system
to control the engine starting. Finally, Arduino
microcontroller with its software is used as a signal
processing unit to control the safety system in the car. The
experimental results show that the system is accurately
able to enhance the safety aspect of drivers.
Literature survey :
4. IoT Based Alcohol Detection for Drivers The proposed
system makes use of Raspberry Pi which is interfaced with
an alcohol sensor (MQ-3) to detect drunk drivers. When a
drunk driver is detected a buzzer is turned on and thespeed
of the vehicle is reduced. The drunk driver’s data(real-time
location, date and time )is updated on the Google Cloud
using internet .If internet is not available an SMS with the
drunk drivers data is sent to the concerned persons. The
information from the cloud can be fetched by the Android
application on the user’s mobile phone.
Literature survey :
5. IoT-Enabled Alcohol Detection System for Road Transportation
Safety in Smart City In this paper, an alcohol detection system was
developed for road transportation safety in smart city using Internet
of Things (IoT) technology. Two Blood Alcohol Content (BAC)
thresholds are set and monitored with the use of a microcontroller.
When the first threshold is reached, the developed system transmits
the BAC level of the driver and the position coordinates of the
vehicle to the central monitoring unit. At the reach of the second
BAC threshold, the IoT-enabled alcohol detection system shuts down
the vehicle’s engine, triggers an alarm and puts on the warning light
indicator. A prototype of this scenario is designed and implemented
such that a Direct Current (DC) motor acted as the vehicle’s engine
while a push button served as its ignition system. The efficiency of
this system is tested to ensure proper functionality. The deployment
of this system will help in reducing the incidence of drunk driving
related road accidents in smart cities.
Present Work:
Block Diagram
Present Work:
Major Block of System
• Nodemcu : A wifi based microcontroller which is programmable
• Alcohol sensor : use to detect the alcohol in the car
• Relay : Use for ignition connection
• IR Sensor: For seatbelt measurement
• ESP32 CAMERA : For live footage
Present Work:
System Design: Seatbelt and Alcohol detection
Present Work:
System Design : Dashboard Camera
Present Work:
Flowchart of Project
Implementation Overview:
Implementation Overview:
Applications/ Advantages:
• Use for the driver protection.
•Use for tracking the reason of accident if occur help
for police verification and insurance.
•Car will not start if seatbelt not weared oralcohol
detected.
Conclusions & Future Scope
● An alcohol & seat belt detection system will be
developed for road transportation safety in smart city
using Internet of Things (IoT) technology.
● This system not only curbs drunk driving by
automatically shutting down the vehicle that contains
the drunk driver but also allows for traffic authorities to
easily locate the shutdown vehicles using the
coordinates of the vehicle sent to web server.
● The technologies which are used in the proposed system
are good enough to ensure the perfect shut down and
pick up of the drunk driven vehicle..

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Seat Belt IoT 00.pptx

  • 1. Swaminarayan Siddhanta Institute of Technology Kalmeshwar, Nagpur Department of Electronics and Communication Engineering Session 2022-2023 “Design & Development Of Driver Safety System With Alcohol Detection And Seat Belt Detection Based On IoT” Guided By :- Prof :- POOJATHAKARE Name of Candidate :- PRIYANKA UKEY
  • 2. Content: 1. Objective 2. Introduction 3. Problem Statement 4. Literature survey 5. Present Work ⮚ Block Diagram ⮚ Major Block of System ⮚ Algorithms/ System Design ⮚ Flowchart of Project 6. Implementation Overview 7. Applications/ Advantages 8. Conclusions & Future Scope 9. References
  • 3. Objective: To design and implement the system for driver safety - - Seat belt weared or not - Alcohol detection - Camera - IoT updates for the seatbelt wear or not aswell as alcohol detection
  • 4. Introduction: • On a survey that has been done recently, said that nearly 70 of road accidents occur due to drunken drive, with a range of 44% to 67% in small cities. •They also conveyed that overall of 56 accidents and 14 to 15 deaths occur on our roads per day due to not wearing the seat belts. •In the already available system, the alcohol sensor is kept on the car steering and thereby controls the vehicle according to the presence of alcohol. •But road safety is indeed important in other aspect that is the reason we are controlling the system based on the seatbelt wearing.
  • 5. Problem Statement ● As per the issue of driver safety it is notice that the seat belt is weared by driver in very less time only whenpolice verification is occur. ● Some time seatbelt directly fix without wearing tostop buzzer ● Need to find the solution for the seatbelt if and only if it wears then only car will start ● Second if alcohol detected then also car will notstart ● All these data with respect to date and time car ownercan monitor online
  • 6. Literature survey : 1. Alcohol Detection and Seat Belt Control System IEEE 2019 In the already available system, the alcohol sensor is kept on the car steering and thereby controls the vehicle according to the presence of alcohol. But road safety is indeed important in other aspect that is the reason we are controlling the system based on the seatbelt wearing. 2. Smart Car Seat Belt: Accident Detection and Emergency Services in Smart City Environment IEEE 2021Importantly, to unlicensed people from driving, the proposed system avails fingerprint recognition based biometric system for driver authentication and car ignition. Later, the system uses the information collected by sensor mounted inside the seat belt to detect whether accident has occurred. If accident is detected, then the driver heart beat rate is captured using pulse sensor to conform the accident. The proposed system demonstrated to reduce the number of false rate in accident detection
  • 7. Literature survey : 3. Intelligent Car Safety System IEEE 2016In the proposed system the NeuroSky Mind-wave headset is used to capture different electroencephalogram (EEG) levels. In addition to this, a limit Switch electrical circuit is designed and attached between the seat belt and the ignition system to control the engine starting. Finally, Arduino microcontroller with its software is used as a signal processing unit to control the safety system in the car. The experimental results show that the system is accurately able to enhance the safety aspect of drivers.
  • 8. Literature survey : 4. IoT Based Alcohol Detection for Drivers The proposed system makes use of Raspberry Pi which is interfaced with an alcohol sensor (MQ-3) to detect drunk drivers. When a drunk driver is detected a buzzer is turned on and thespeed of the vehicle is reduced. The drunk driver’s data(real-time location, date and time )is updated on the Google Cloud using internet .If internet is not available an SMS with the drunk drivers data is sent to the concerned persons. The information from the cloud can be fetched by the Android application on the user’s mobile phone.
  • 9. Literature survey : 5. IoT-Enabled Alcohol Detection System for Road Transportation Safety in Smart City In this paper, an alcohol detection system was developed for road transportation safety in smart city using Internet of Things (IoT) technology. Two Blood Alcohol Content (BAC) thresholds are set and monitored with the use of a microcontroller. When the first threshold is reached, the developed system transmits the BAC level of the driver and the position coordinates of the vehicle to the central monitoring unit. At the reach of the second BAC threshold, the IoT-enabled alcohol detection system shuts down the vehicle’s engine, triggers an alarm and puts on the warning light indicator. A prototype of this scenario is designed and implemented such that a Direct Current (DC) motor acted as the vehicle’s engine while a push button served as its ignition system. The efficiency of this system is tested to ensure proper functionality. The deployment of this system will help in reducing the incidence of drunk driving related road accidents in smart cities.
  • 11. Present Work: Major Block of System • Nodemcu : A wifi based microcontroller which is programmable • Alcohol sensor : use to detect the alcohol in the car • Relay : Use for ignition connection • IR Sensor: For seatbelt measurement • ESP32 CAMERA : For live footage
  • 12. Present Work: System Design: Seatbelt and Alcohol detection
  • 13. Present Work: System Design : Dashboard Camera
  • 17. Applications/ Advantages: • Use for the driver protection. •Use for tracking the reason of accident if occur help for police verification and insurance. •Car will not start if seatbelt not weared oralcohol detected.
  • 18. Conclusions & Future Scope ● An alcohol & seat belt detection system will be developed for road transportation safety in smart city using Internet of Things (IoT) technology. ● This system not only curbs drunk driving by automatically shutting down the vehicle that contains the drunk driver but also allows for traffic authorities to easily locate the shutdown vehicles using the coordinates of the vehicle sent to web server. ● The technologies which are used in the proposed system are good enough to ensure the perfect shut down and pick up of the drunk driven vehicle..