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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1173
Enhancing Indoor Mobility for Visually Impaired: A System with Real-
Time Obstacle Detection Using QR Code with Audio Feedback
Shubham Nimkar1, Ajay Kumar2, Mrs. Pradnya A. kamble3
1,2Final Year Student, Department of Electronics and Telecommunications Engineering, Sinhgad Institute of
Technology, Lonavala, Maharashtra, India
3Professor, Dept. of Electronics and Telecommunications Engineering, Sinhgad Institute of Technology, Lonavala,
Maharashtra, India
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract – It’s tough for people with visual defects to
maneuver freely in their surroundings. The essential demand
for them is to maneuver freely, knowing the concerning
obstacles around them. The system presents the thought of an
indoor navigation system using the QR Code equipped with
audio feedback. The system bestowed is capable of detecting
an obstacle with the assistance of ultrasonic sensors. The
visual markers (QR Code) will give the knowledge about the
thing or location on which it’s placed. The user will get audio
feedback through headphones or speakers, enhancing the
user’s expertise about the environment. The system proposed
is simple, efficient and robust.
Key Words: Human echolocation, QRCode,ATmega328,
aPR33A (Voice Recording IC), HC SR-04 (Ultrasonic
Sensor), HC-05 (Bluetooth Module)
1.INTRODUCTION
Visual Impairment is one of the biggest problems in all over
the world. The people suffering from it face a lot of
difficulties in their daily life. They are not able to perform a
variety of activities without anyone's help. Mobilityforthem
is a crucial issue and moving freely while knowing about the
nearby obstacles is even tough. While ordinary people
experience new technologies and make their day to day life
much easier, people who are visually impaired don’t have
enough. For outdoor mobility and navigation, we have GPS
but for indoor positioning, we don’t have any. Currently,
several methods have been identified to help visually
impaired people but they may not be the most appropriate
way which benefits them. Various works have been made in
the past to help people with a visual impairment such as
guiding sticks, ultrasonic equipped shoes, etc. Human
echolocation is a human ability to detect objects by sensing
the echo sound from the objects. This prototype uses sonar
echolocation for sensing the environment. To aware user
about hindrances which are there in his front view, this
device uses audio feedback. Personalization of this obstacle
detection system can be done through a mobile device
according to the user’s suggestions and needs.
2. PROPOSED SYSTEM
The system proposed here is developed to provide visually
impaired users with easy mobility in indoor environments
with real-time obstacle detection with audio feedback. The
basic block diagram of the system can be seen in the figure
below.
Fig -1: Basic Block Diagram of System
2.1. WORKING OF THE PROPOSED SYSTEM
As we can see in fig -1, the system is using the QR code for
storing the information about the location or the type of
object on which it’ll be placed. The QR code will be decoded
using a mobile camera, that information will be sent to the
microcontroller using Bluetooth link. To provide the
Bluetooth module (HC 05). The ultrasonic sensor(HC-SR04)
will detect the obstacle in real-time and will send the data to
the microcontroller. There theinformationwill beprocessed
in the microcontroller, from both the ultrasonic sensor and
from the BlueTooth link. Here we are using ATmega 328 for
the proposed system. The microcontroller will thensendthe
signal to enable the voice recorder module to provide the
audio feedback via speakers or headphones. For voice
playback, we have used aPR33A chip with 60 seconds voice
playback module. The obstacle detection and voiceplayback
can work parallelly or independently.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1174
2.2. MAIN CIRCUIT DIAGRAM
Fig -2: Main Circuit Diagram
2.3. HARDWARE USED
1) ATmega 328:
ATmega 328 is a microcontroller created by Atmel in the
megaAVR family. ATmega 328 is using 32KB flash memory,
1K - EEPROM, 2KB - SRAM. It is an 8-bit microcontroller.
Fig -2: ATmega 328
2) APR33A3:
It is an 8 channel voice recording module. With 340-680sec
voice recording length. Powerful 16bits digital audio
processor. Non-volatile flash memory technology.
Fig -3: APR33A3
3) HC SR-04 (Ultrasonic Sensor):
Ultrasonic ranging module HC SR-04 is having a range of
2cm-400cm or 1 inches to 13feet,themeasurementfunction
ranging is accurate up to reach 3mm. The modules include 3
main parts of the ultrasonic transmitter section, receiver
section and control circuit.
Fig -4: HC SR-04
4) HC 05 (Bluetooth Module):
HC 05 is a Bluetooth module, designed for wireless
communication. The HC-05 Bluetooth Modulecanbeusedin
a Master and Slave configuration, makingit the bestsolution
for wireless communication. 3Mbps rate of Modulationwith
a complete 2.4GHz radio transceiver and baseband. It
utilizes the CSR Bluecore 04 External single-chip Bluetooth
system using CMOS technology working withAFH(Adaptive
Frequency Hopping Feature).
Fig -5: HC 05
5) Speakers:
The main purpose of a speaker is to produce audio output
that can be heard to everyone. Speakers are the transducers
that convert the electromagnetic waves into sound waves. It
receives audio input. The input fed to the speaker is in
analog or digital form. Analog speakers simply amplify
electromagnetic signals or waves into sound waves while
digital-first convert the signal into analog and then amplify
it.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1175
Fig -6: Speaker
2.4. QR CODE
QR code is meant by Quick Response code (or two-
dimensional barcode). It is the same as the barcode.QRcode
contains the information in encoded form and can be seen
using a QR code scanner. The QR codes are faster to detect
and the data is safe with them. The QR codes are basically a
matrix of random black and white squares. They provide
information to any user using them. And hence we are using
this in our proposed system, to store the information about
the location.
Fig -7: QR CODE
3. DESIGN FLOW
3.1. SYSTEM DESIGN FLOW
The system design flow is shown in the figure. 8. The
diagram gives us an idea about how the flow model will
work for the proposed system.
Fig -8: System design flow
3.2. QR CODE DECODING FLOW
The decoding flow for the QR code is shown in figure.9. How
the QR code will get detected and what exactly will be the
flow is shown.
Fig -9: QR Code decoding flow
4. IMPLEMENTATION
The hardware implementation is shown in the fig-10.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1176
Fig -10: Implemented System (Hardware)
Fig -10: QR Code Detection using mobile camera
5. CONCLUSION
The system is implemented using Atmega 328
microcontroller. The HC SR-04 (ultrasonicsensors)areused
for obstacle detection.TheQRcodedetectionwasdoneusing
a mobile camera. The audio feedback was provided using
APR33A3 (voice playback module). The system
implementation is done successfully. The goal wasachieved.
6. FUTURE WORK
In the future, there are many possibilities to improve this
presented system. The system can be made wearable using
high-performance processors which will also be having
minimal size. For QR Code detection, an embedded micro
camera can be used. And the obstacle detection can also be
provided using micro transducers.All togetherimplemented
as one system on a single platform.
REFERENCES
[1] S. Advani, P. Zientara, N. Shukla, I. Okafor, K. Irick,
J.Sampson, S. Datta, and V. Narayanan, “A multitask grocery
assist system for the visuallyimpaired:Smartglasses,gloves,
and shopping carts provide auditory and tactile feedback,”
IEEE Consum. Electron. Mag., vol. 6, no. 1, pp. 73–81, Jan.
2017.
[2] Y. C. Huang, S.-J. Ruan, O. Christen, and E. Naroska, “A
wearable indoor locating system based on visual marker
recognition for people with visual impairment,” in Proc.
2016 IEEE 5th Global Conf. Consumer Electronics, Kyoto,
Japan, 2016, pp. 1–2.
[3] D. V. Opdenbosch, G. Schroth, R. Huitl, S. Hilsenbeck, A.
Garcea, and E. Steinbach, ”Camera-based indoor positioning
using scalable streaming of compressed binary image
signatures,” in Proc. IEEE Int. Conf. Image Processing (ICIP),
2014, pp. 2804–2808.
[4] O. Christen, E. Naroska, A. Micheel, and S. J. Ruan, “Target
marker: A visual marker for long distances and detection in
real-time on mobile devices,” in Proc. 2nd Int. Conf. Machine
Vision and Machine Learning, 2013, p. 339.
[5] F. Harjanto, Z. Wang, S. Lu, and D. D. Feng. “Evaluatingthe
impact of frame rate on video based human action
recognition,” in Proc. 27th Conf.ImageandVisionComputing,
2012.

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IRJET Enhancing Indoor Mobility for Visually Impaired

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1173 Enhancing Indoor Mobility for Visually Impaired: A System with Real- Time Obstacle Detection Using QR Code with Audio Feedback Shubham Nimkar1, Ajay Kumar2, Mrs. Pradnya A. kamble3 1,2Final Year Student, Department of Electronics and Telecommunications Engineering, Sinhgad Institute of Technology, Lonavala, Maharashtra, India 3Professor, Dept. of Electronics and Telecommunications Engineering, Sinhgad Institute of Technology, Lonavala, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract – It’s tough for people with visual defects to maneuver freely in their surroundings. The essential demand for them is to maneuver freely, knowing the concerning obstacles around them. The system presents the thought of an indoor navigation system using the QR Code equipped with audio feedback. The system bestowed is capable of detecting an obstacle with the assistance of ultrasonic sensors. The visual markers (QR Code) will give the knowledge about the thing or location on which it’s placed. The user will get audio feedback through headphones or speakers, enhancing the user’s expertise about the environment. The system proposed is simple, efficient and robust. Key Words: Human echolocation, QRCode,ATmega328, aPR33A (Voice Recording IC), HC SR-04 (Ultrasonic Sensor), HC-05 (Bluetooth Module) 1.INTRODUCTION Visual Impairment is one of the biggest problems in all over the world. The people suffering from it face a lot of difficulties in their daily life. They are not able to perform a variety of activities without anyone's help. Mobilityforthem is a crucial issue and moving freely while knowing about the nearby obstacles is even tough. While ordinary people experience new technologies and make their day to day life much easier, people who are visually impaired don’t have enough. For outdoor mobility and navigation, we have GPS but for indoor positioning, we don’t have any. Currently, several methods have been identified to help visually impaired people but they may not be the most appropriate way which benefits them. Various works have been made in the past to help people with a visual impairment such as guiding sticks, ultrasonic equipped shoes, etc. Human echolocation is a human ability to detect objects by sensing the echo sound from the objects. This prototype uses sonar echolocation for sensing the environment. To aware user about hindrances which are there in his front view, this device uses audio feedback. Personalization of this obstacle detection system can be done through a mobile device according to the user’s suggestions and needs. 2. PROPOSED SYSTEM The system proposed here is developed to provide visually impaired users with easy mobility in indoor environments with real-time obstacle detection with audio feedback. The basic block diagram of the system can be seen in the figure below. Fig -1: Basic Block Diagram of System 2.1. WORKING OF THE PROPOSED SYSTEM As we can see in fig -1, the system is using the QR code for storing the information about the location or the type of object on which it’ll be placed. The QR code will be decoded using a mobile camera, that information will be sent to the microcontroller using Bluetooth link. To provide the Bluetooth module (HC 05). The ultrasonic sensor(HC-SR04) will detect the obstacle in real-time and will send the data to the microcontroller. There theinformationwill beprocessed in the microcontroller, from both the ultrasonic sensor and from the BlueTooth link. Here we are using ATmega 328 for the proposed system. The microcontroller will thensendthe signal to enable the voice recorder module to provide the audio feedback via speakers or headphones. For voice playback, we have used aPR33A chip with 60 seconds voice playback module. The obstacle detection and voiceplayback can work parallelly or independently.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1174 2.2. MAIN CIRCUIT DIAGRAM Fig -2: Main Circuit Diagram 2.3. HARDWARE USED 1) ATmega 328: ATmega 328 is a microcontroller created by Atmel in the megaAVR family. ATmega 328 is using 32KB flash memory, 1K - EEPROM, 2KB - SRAM. It is an 8-bit microcontroller. Fig -2: ATmega 328 2) APR33A3: It is an 8 channel voice recording module. With 340-680sec voice recording length. Powerful 16bits digital audio processor. Non-volatile flash memory technology. Fig -3: APR33A3 3) HC SR-04 (Ultrasonic Sensor): Ultrasonic ranging module HC SR-04 is having a range of 2cm-400cm or 1 inches to 13feet,themeasurementfunction ranging is accurate up to reach 3mm. The modules include 3 main parts of the ultrasonic transmitter section, receiver section and control circuit. Fig -4: HC SR-04 4) HC 05 (Bluetooth Module): HC 05 is a Bluetooth module, designed for wireless communication. The HC-05 Bluetooth Modulecanbeusedin a Master and Slave configuration, makingit the bestsolution for wireless communication. 3Mbps rate of Modulationwith a complete 2.4GHz radio transceiver and baseband. It utilizes the CSR Bluecore 04 External single-chip Bluetooth system using CMOS technology working withAFH(Adaptive Frequency Hopping Feature). Fig -5: HC 05 5) Speakers: The main purpose of a speaker is to produce audio output that can be heard to everyone. Speakers are the transducers that convert the electromagnetic waves into sound waves. It receives audio input. The input fed to the speaker is in analog or digital form. Analog speakers simply amplify electromagnetic signals or waves into sound waves while digital-first convert the signal into analog and then amplify it.
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1175 Fig -6: Speaker 2.4. QR CODE QR code is meant by Quick Response code (or two- dimensional barcode). It is the same as the barcode.QRcode contains the information in encoded form and can be seen using a QR code scanner. The QR codes are faster to detect and the data is safe with them. The QR codes are basically a matrix of random black and white squares. They provide information to any user using them. And hence we are using this in our proposed system, to store the information about the location. Fig -7: QR CODE 3. DESIGN FLOW 3.1. SYSTEM DESIGN FLOW The system design flow is shown in the figure. 8. The diagram gives us an idea about how the flow model will work for the proposed system. Fig -8: System design flow 3.2. QR CODE DECODING FLOW The decoding flow for the QR code is shown in figure.9. How the QR code will get detected and what exactly will be the flow is shown. Fig -9: QR Code decoding flow 4. IMPLEMENTATION The hardware implementation is shown in the fig-10.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 1176 Fig -10: Implemented System (Hardware) Fig -10: QR Code Detection using mobile camera 5. CONCLUSION The system is implemented using Atmega 328 microcontroller. The HC SR-04 (ultrasonicsensors)areused for obstacle detection.TheQRcodedetectionwasdoneusing a mobile camera. The audio feedback was provided using APR33A3 (voice playback module). The system implementation is done successfully. The goal wasachieved. 6. FUTURE WORK In the future, there are many possibilities to improve this presented system. The system can be made wearable using high-performance processors which will also be having minimal size. For QR Code detection, an embedded micro camera can be used. And the obstacle detection can also be provided using micro transducers.All togetherimplemented as one system on a single platform. REFERENCES [1] S. Advani, P. Zientara, N. Shukla, I. Okafor, K. Irick, J.Sampson, S. Datta, and V. Narayanan, “A multitask grocery assist system for the visuallyimpaired:Smartglasses,gloves, and shopping carts provide auditory and tactile feedback,” IEEE Consum. Electron. Mag., vol. 6, no. 1, pp. 73–81, Jan. 2017. [2] Y. C. Huang, S.-J. Ruan, O. Christen, and E. Naroska, “A wearable indoor locating system based on visual marker recognition for people with visual impairment,” in Proc. 2016 IEEE 5th Global Conf. Consumer Electronics, Kyoto, Japan, 2016, pp. 1–2. [3] D. V. Opdenbosch, G. Schroth, R. Huitl, S. Hilsenbeck, A. Garcea, and E. Steinbach, ”Camera-based indoor positioning using scalable streaming of compressed binary image signatures,” in Proc. IEEE Int. Conf. Image Processing (ICIP), 2014, pp. 2804–2808. [4] O. Christen, E. Naroska, A. Micheel, and S. J. Ruan, “Target marker: A visual marker for long distances and detection in real-time on mobile devices,” in Proc. 2nd Int. Conf. Machine Vision and Machine Learning, 2013, p. 339. [5] F. Harjanto, Z. Wang, S. Lu, and D. D. Feng. “Evaluatingthe impact of frame rate on video based human action recognition,” in Proc. 27th Conf.ImageandVisionComputing, 2012.