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Helmet Safety Using Iot.pptx
1. 1
ANJUMAN COLLEGE OF
ENGINEERING & TECHNOLOGY
BACHELOR OF ENGINEERING
In
Department of Computer Science & Engineering
Final Seminar
Fardeen Sheikh Pushpak Goswami
Rohish Zade Smit Ramteke
Sumesh Chaure
Helmet Safety Using IoT
Group Members
2. TABLE OF
CONTENTS
Helmet Safety Using IoT 2
ABSTRACT
INTRODUCTION
LITERATURE REVIEW
PROPOSED SYSTEM
HARDWARE AND SOFTWARE
MODULES
CIRCUIT DIAGRAM
PROCESS
FLOW CHART
OUR WORK
ADVANTAGES AND
DISADVANTAGES
APPLICATION
CONCLUSION
REFERENCES
3. Abstract
• The most common prey of road
accident.
• There are many laws made but the
result is null and void.
• To lessen the number of death.
Helmet Safety Using IoT 3
4. Introduction
• Motorcyclist involves in a high speed
accident without wearing a helmet is very
dangerous
• Wearing a helmet can reduce shock from
the impact and may save a life
• 60 percent of Indian people travel with two-
wheelers
Helmet Safety Using IoT 4
5. Literature Review
Existing System:
Challan System
Advantages:
1) The number of people wearing a helmet has
increased.
2) Accident deaths due to head injuries are reduced by
2-3 %.
Disadvantages:
I) Traffic police are not available everywhere.
II) People are still not wearing helmets
Helmet Safety Using IoT 5
6. Research Work
Smart helmet:
• More Advanced features
• Camera detecting faces
• More hardware
Helmet Safety Using IoT 6
7. Research Work Vs Our
Work
Properties Research Work Our Work
Technology Simple system with
hardware and Arduino
coding.
Simple system with
hardware and Arduino
coding.
+
IoT
Software Arduino IDE, Different
Clouds and Servers.
Arduino IDE, Bolt Cloud,
Ubuntu, Twilio Server
Hardware More Hardware
components
Less Hardware
components
Cost Expensive Cheap
Additional Features Calling to hospital and
police station when
accident occurs.
No such feature as of
now.
Accuracy More Accurate Less Accurate
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8. Aim And Objective
Aim:- To develop or create a system to enforce
individuals to wear helmets while driving two-wheeler
vehicles.
Objective:
- To reduce the death rate of two-wheeler accidents.
- To make people feel safe while driving a two-wheeler
vehicle.
- To demolish the challan system.
Helmet Safety Using IoT 8
9. Proposed System
Problem Statement: “The Problem is people
are not wearing helmets while driving two
wheeler vehicles”.
Solution: If the person is not wearing a helmet
then the person is unable to start the two-
wheeler vehicle.
Helmet Safety Using IoT 9
10. Hardware Required
Helmet Safety Using IoT 10
2 X Arduino
Uno
1 X Bolt Wifi
Module
1 X Relay
Module
2 X IR sensor
Module
2 X 9v
Batteries
2 X
Breadboard
Jumper
Wires
12. Modules
1)Circuit connected in helmet along with
IR sensor.
2) Circuit with relay connected in
vehicle’s battery.
3) Python Script.
Helmet Safety Using IoT 12
14. Process/Working
• IR sensor detects the head inside the
helmet.
• Transmitter transfer the value to the
receiver.
• Receiver will receive and switch on the relay.
• The vehicle will start.
Helmet Safety Using IoT 14
20. Advantages
• Better than the chalan system
• Reduce the Death Rate
• Enforcing to wear helmet
Helmet Safety Using IoT 20
21. Disadvantages
• IR Sensor: As IR sensor can
detect any object not necessarily
the head
Helmet Safety Using IoT 21
22. Applications
• This system can be applied in electric
vehicles.
• Useful for bike and scooters.
• Help to protect life in accident case.
• Number of cases of violated traffic rules
can be reduced.
Helmet Safety Using IoT 22
23. Future Scope
• This system is highly efficient in
two-wheeler electric vehicles.
Helmet Safety Using IoT 23
24. Conclusion
• The conclusion is that this system will enforce the vehicle
driver to wear the helmet.
• It is an automated system.
• It does not involve any human intervention.
• This system is also cost-efficient.
• In the future can come preinstalled with the E-vehicles.
Helmet Safety Using IoT 24