This document describes a smart helmet system with intercom features. The system includes a helmet module, bike module, and intercom module. The helmet module uses IR sensors to detect if a helmet is being worn and an alcohol sensor to detect alcohol consumption. The bike module uses a vibration sensor to detect accidents and a GSM module to send alerts. An intercom system allows for wireless communication between riders. The system aims to improve road safety by enforcing helmet usage and providing medical assistance in the event of an accident.

1. SMART HELMET
WITH INTERCOM FEATURE
Presented by:
KIMAYA MHATRE
RAJ NANDWADEKAR
ADITYA PATIL
RUSHIKESH SHINDE
Supervised by
PROF. PRADNYA KAMBLE
B E Project Stage-II

2. INTRODUCTION
 In today’s era, especially in the young generation, the craze to ride bike is
rapidly increasing. The middle class families prefer to buy two-wheeler over
four-wheeler because of their low price.
 As the number of two-wheeler are increasing, road mishaps are also
increasing day by day. In the event of an accidents, serious head injuries and
lack of timely medical help can cause death.
 Thus, there is a need for a system which ensures safety of rider by
enforcing rider to wear helmet as per government guidelines and also assist
in providing the rider for a medical assistance in the event of an accident.
2SMART HELMET WITH INTERCOM FEATURE

3. BLOCK DIAGRAM
SMART HELMET WITH INTERCOM FEATURE 3
Fig. 1: Block Diagram of Helmet Module

4. SMART HELMET WITH INTERCOM FEATURE 4
HELMET MODULE
 Arduino (ATMega328P): Arduino UNO is used as a controller part in our
project for both bike and helmet module. We have connected analog and digital
pins to IR sensors and Alcohol sensor and interface for wireless connection has
been established using arduino uno
 IR sensor: IR sensor is used to detect the presence of an object. in project we
used 2 IR sensor which are connected to the digital pins of arduino. The 5V
power supply is been given to each sensor.
 MQ-3 Alcohol Sensor- The analog pin of the alcohol sensor is connected to
arduino ‘s analog pin A0.
 NRF24L01- It is a module which we used for wireless communication. It is a
7 pin module. It has a SPI interface and MOSI and MISO pins connected to
9,10,11,12 digital pins of arduino. A 3.3V power supply has been given to this
module.

5. SMART HELMET WITH INTERCOM FEATURE 5
Fig. 2: Block Diagram of Bike Module

6. SMART HELMET WITH INTERCOM FEATURE 6
BIKE MODULE
Vibration Sensor- Vibration sensor is used to detect accident. It
has a digital pins connected to the arduino and 5V supply has been
given to power up the vibration sensor.
GSM SIM900A- SIM900A is a 2G technology based GSM
module which is used to send a alert message based on the
situation occurred. It has a 12V supply and pins Tx and Rx pins are
connected serially with arduino pins 2 and 3
GPS Neo6mv2- GPS module is used to find the location of the
biker or an accident location. It has 3.3V supply given . Pins Tx
and Rx are connected to Rx and Tx pin of arduino respectively.

7. SMART HELMET WITH INTERCOM FEATURE 7
Fig. 3: Block Diagram of Intercom System

8. SMART HELMET WITH INTERCOM FEATURE 8
FLOWCHART
Fig. 4: Flowchart of transmitter-receiver module

9. SMART HELMET WITH INTERCOM FEATURE 9
Fig. 5: Flowchart of Transmitter section of Intercom module

10. SMART HELMET WITH INTERCOM FEATURE 10
Fig. 6: Flowchart of Receiver section of Intercom module

11. CIRCUIT DIAGRAM OF SYSTEM
SMART HELMET WITH INTERCOM FEATURE 11
Fig. 7: Circuit Diagram of Bike Module

12. SMART HELMET WITH INTERCOM FEATURE 12
Fig. 8: Circuit Diagram of Helmet Module

13. SMART HELMET WITH INTERCOM FEATURE 13
Fig. 9: Circuit Diagram of Intercom Module

14. IMPLEMENTED MODEL
14SMART HELMET WITH INTERCOM FEATURE
Fig. 10: Implemented Bike Model

15. 15SMART HELMET WITH INTERCOM FEATURE
Fig. 11: Implemented Helmet Model

16. SMART HELMET WITH INTERCOM FEATURE 16
Fig. 12: Implemented Intercom Model

17. RESULTS AND DISCUSSION
 Automatic detection of helmet wear
 Alcohol consumption rate
 Accidents detection
 Accident Location
 Bluetooth intercom communication
 Statistics based on speed of the bike
 Displaying various activities of helmet and bike
17SMART HELMET WITH INTERCOM FEATURE

18. CONCLUSION
 Thus this system is very effective for the safety purpose of the user. User
has to wear helmet to ride a bike and hence traffic rules will be followed by
the rider.
 This system is under pocket control i.e. Riding the two wheeler vehicle
having safety in hand and in budget. This system has easy functionalities. It
provides a better security to the biker.
SMART HELMET WITH INTERCOM FEATURE 18

19. TIME PLAN (VIII SEM)
JANUARY
FEBRUARY
MARCH
APRIL
• Implementation
of GSM, GPS &
Intercom
• Conference
paper
• Black Book
• PCB designing
19SMART HELMET WITH INTERCOM FEATURE
Fig. 13: Time Plan

20. BUDGET (SEM VII)
20
Category Sub Category Price (in INR)
software Arduino IDE Nil
hardware GSM module(sim 900A)
MQ3 Alcohol Sensor
Vibration sensor
IR sensor
Arduino nano
Arduino mega
NRF-2401 (×2)
GPS Module
Transformer
7805 IC (×2)
Jumper Wires (×2)
800
160
90
60
190
600
500
550
200
50
100
Stationary Printing
Log Book
Other
500
TOTAL: 3800/-
SMART HELMET WITH INTERCOM FEATURE

21. REFERENCES
 Jesudoss A, Vybhavi R and Anusha B, “Design of Smart Helmet for Accident Avoidance”, International Conference on Communication
and Signal Processing, April 4-6, 2019, India.
 Narong Boonsirisumpun, Wichai Puarungroj, Phonratichi Wairotchanaphuttha, “Automatic Detector for Bikers with no Helmet using
Deep Learning”, 978-1-5386-8164-0/18/$31.00 ©2018 IEEE.
 Prashant Ahuja, Prof. Ketan Bhavsar, “Microcontroller based Smart Helmet using GSM & GPRS”, 2nd International Conference on
Trends in Electronics and Informatics (ICOEI 2018).
 Amitava Das, Soumitra Goswami, “Design and Implementation of Inteligent Helmet to Prevent Bike Accident in India”, IEEE INDICON
2015 1570172571.
 Sayan Tapadar, Shinjini Ray, Arnab Kumar Saha, Robin Karlose, Dr. Himadri Nath Saha, “Accident and Alcohol Detection in Bluetooth
enabled Smart Helmets for Motorbikes”, 978-1-5386-4649-6/18/$31.00 ©2018 IEEE.
 Rashmi Vashisth, Sanchit Gupta, Aditya Jain, Sarthak Gupta, Sahil, Prashant Rana, “IMPLEMENTATION AND ANALYSIS OF SMART
HELMET”, 4th IEEE International Conference on Signal Processing, Computing and Control (ISPCC 2k17), Sep21-23, 2017.
 Agung Rahmat Budiman, Dodi Wisaksono Sudiharto, Tri Brotoharsono, “The Prototype of Smart Helmet with Safety Riding Notification
for Motorcycle Rider”, 2018 3rd International Conference on Information Technology, Information Systems and Electrical Engineering
(ICITISEE), Yogyakarta, Indonesia.
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