jasc: journal of applied science and computations issn no ...ultrasonic sensor, arduino uno, power...

Pothole Detection Using Ultrasonic Sensor & Arduino

Asst.Prof. Rashmi Deshpande, Siddhant Patil , Arti Gagare, Rajshree Sanap, Renuka Suryabanshi

Dept. of Computer Engineering

Dr. D.Y. Patil Institute Of Engineering Management &Research Akurdi

Pune, India [email protected] [email protected]

[email protected] [email protected]

[email protected]

Abstract— Pothole detection system is a system that aims at warning the driver about the uneven roads and potholes in its path. We

study the different ways in which goal of the system can be achieved. This system can have sensors(ULTRA sonic sensor), which will

detect the potholes & network connection is required. Survey will be conducted and data will be stored on database. Which can be

manually updated .User will see the pothole location on Maps which may help him to avoid potholes.

Keywords— Ultrasonic Sensor, Arduino Uno, Power Supply, LCD Display.

I. Introduction The objective of this project is to detect the potholes on the road. First the survey is conducted and the potholes is detected and

plotted on the maps. User can login to the map and can see the location of the potholes on the map. This will help user to avoid

potholes and will result in the reduction of accidents. When the pothole is removed from the road, the location of the potholes can

be manually deleted from the database.

Fig: Potholes on road

II. LITERATURE SURVEY

Real Time Pothole Detection using Android Smart phones with Accelerometers Artis Mednis Girts Strazdins, Reinholds

Zviedris, Georgijs Kanonirs, Leo Selavo, (IPSN 2011), 2011. The importance of the road infrastructure for the society could be

compared with importance of blood vessels for Humans. To ensure road surface quality it should be monitored Continuously and

repaired as necessary. The optimal distribution of resources for road repairs is possible providing the availability of comprehensive

and objective real time data about the state of the roads. Participatory sensing is a promising approach for such data collection.

JASC: Journal of Applied Science and Computations

Volume VI, Issue VI, JUNE/2019

ISSN NO: 1076-5131

Page No:1643

Real Time Pothole Tracking System Using Android Smart Phone. Pavan Gorade, Dogambar Kasde, Poonam Khilore, Abhishek

Sontakke, Prof.Ranjana M.Kedar, May 2014 Pothole Tracking System investigates an application of mobile detecting and

reporting the surface conditions of roads. It describes a system to monitor this important civil infrastructure using an android

based smart phone. The pothole tracking system uses the inherent mobility of the participating smart phone by the citizen,

opportunistically gathering data from image clicking from an android based smart phone which is GPRS enabled, and processing

the data to assess road surface conditions. Using a simple retagging technique which is a feature of android OS, it show that we

are able to identify potholes and other severe road surface anomalies from images clicked by the citizens and uploaded by the

same application on the server.

Pothole Tracking System Using Android Mr. Aditya Bamne, Mr. Omkar Shinde,IJACCE,2016 Pothole Tracking System which

assists the driver in avoiding pot-holes on the roads investigates an application of mobile detecting and reporting the surface

conditions of roads. It describes a system to monitor this important civil infrastructure using an android based smart phone. The

pothole tracking system uses the inherent mobility of the participating smart phone by the citizen, opportunistically gathering data

from image clicking from an android based smart phone which is GPRS enabled, and processing the data to assess road surface

conditions

Pothole Detection System using Machine Learning on Android Aniket Kulkarni1, Nitish Mhalgi2, Sagar Gurnani3, Dr.

Nupur Giri, An application of mobile sensing: detection of potholes on roads. We describe a system and an associated algorithm

to monitor the pothole conditions on the road. This system, that we call the Pothole Detection System, uses Accelerometer Sensor

of Android smart phone for detection of potholes and GPS for plotting the location of potholes on Google Maps.

.

III. PROPOSED SYSTEM

A . Client side

1) Login: User logs in to its account using its id and password given during registration

2) Access: The snapped pic is directly clicked and geotagged with latitude & longitude using GPS and GPRS and geotagged

image is sent to the server and the location is recorded through user interaction and input.

3) Upload: Then pic is uploaded to pothole server for verification & validation for confidential purpose.

B. Server side system.

1) Upload: Pic via App is uploaded to the web server then it goes to the data mining server. The pothole server store & the

pic for further processing and authenticity

2) Server: It stores the content uploaded and all the privileges to the admin section is provided through this server because

server administrator cell is the authenticator and authorizer of the content uploaded.

IV. PROPOSED SYSTEM

The pothole sensor plug-in monitors the changes in the acceleration in order to detect potholes. For this, the user needs to have

an Android smart phone. The device‘s built-in accelerometer is used to collect the x, y and z axis accelerations. The native GPS

(Global Positioning System) chip is used to collect location co-ordinates. As seen in Figure, this is included in the Display module,

with appropriate buttons to carry out the task. The implemented plug-in should be generic so that it can be used along with other

context-aware applications.

The pothole detection algorithm is good, in terms of speed and accuracy. This algorithm accepts the training set and displays

the pothole scenario in the particular area. Specific details related to the algorithm are present in following paragraphs, and one

can get the gist of how values required by the algorithm are collected and used, by noting the Logic module in Figure. The pothole

detection algorithm is good, in terms of speed and accuracy. This algorithm accepts the training set and displays the pothole

scenario in the particular area. Specific details related to the algorithm are present in following paragraphs, and one can get the

gist of how values required by the algorithm are collected and used, by noting the Logic module in Figure .



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Fig. System architecture

V. ALGORITHM

Step1: Start

Step2: Start application and login

Step3: Do survey for find coordinates of pothole

Step4: Calculate the distance of Poth whole and get co ordinates

Step5: Save those coordinates on database

Step6: Show the pothole location Stop7:

Stop

VI. METHODOLOGY

ULTRASONIC SENSOR:

As the name indicates, ultrasonic sensor measure distance by using ultrasonic wave. The sensor head emit an ultrasonic wave

and receives the wave reflected bank from the target. Ultasonic sensor measure the distance to the target by measuring the time

bet the emission and reception.

ARDUINO UNO:

The Arduino Uno is a microcontroller board based on the ATmega328. Arduino is an open-source, prototyping platform and

its simplicity makes it ideal for hobbyists to use as well as professionals. The Arduino Uno has 14 digital input/output pins (of

which 6 can be used as PWM outputs), 6 analog inputs, a 16 MHz crystal oscillator, a USB connection, a power jack, an ICSP

header, and a reset button. It contains everything needed to support the microcontroller; simply connect it to a computer with a

USB cable or power it with a AC-to-DC adapter or battery to get started

GPS Sensor:

GPS sensors are receivers with antennas that use a satellite-based navigation system with a network of 24 satellites in orbit

around the earth to provide position, velocity, and timing information.

POWER SUPPLY: 12V external power supply is required.

Result:



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Acknowledgment

It gives us great pleasure in presenting the preliminary project report on ‘POTHOLE DETECTION USING IOT’. I would like to

take this opportunity to thank my internal guide Prof. Rashmi Deshpande for giving me all the help and guidance I needed. I am

really grateful to them for their kind support. Their valuable suggestions were very helpful. I am also grateful to Prof. P. P.

Shevatekar, Head of Computer Engineering Department, College Name for his indispensable support, suggestions. In the end our

special thanks to Prof. Naresh Kumar R. M. for providing various sources such as laboratory with all needed software platforms,

continuous Internet connection, and constant support and guidance for Our Project.

REFERENCES

[1] "Real time pothole detection using Android smartphones with accelerometers," A. Mednis, G. Strazdins, R. Zviedris, G. Kanonirs, L. Selavo, dcoss, pp.16, 2011 International Conference on Distributed Computing in Sensor Systems and Workshops (2011)

[2] Detecting User Activities using the Accelerometer on Android Smartphones‖, Sauvik Das -Georgia Institute of Technology, LaToya Green —University of Houston, Beatrice Perez — University of Puerto Rico, Mayaguez, Michael Murphy — Franklin W. Olin College of Engineering (2010)

[3] Pothole Detection and Warning System using Wireless Sensor Networks” Sudarshan, Vijay, Goyal, Kulkarni, Arya, Embedded Real-Time Systems Laboratory, Indian Institute of Technology Bombay (2009)

[4] The Pothole Patrol: Using a Mobile Sensor Network for Road Surface Monitoring‖, Eriksson, J., Girod, L., Hull, B., Newton, R., Madden, S., Balakrishnan, In: MobiSys'08. pp. 29-39 (2008)

[5] Gps coordinate pothole mapping‖, N. Angelini, J. Brache, M. Gdula, and G. Shevlin, Technical report, Worchester Polytechnic (2006). [6] Virtual Ground Truth in Vehicular Sensing Experiments: How to Mark it Accurately‖, Girts Strazdins, Artis Mednis, Reinholds Zviedris, Georgijs

Kanonirs, Leo Selavo, ISSN: 2308-4405, ISBN: 978-1-61208-144-1 (2011).



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[7] A public transport system based sensor network for road surface condition monitoring,‖ K. De Zoysa, C. Keppitiyagama, G. Seneviratne, and W. Shihan,

in Proc. NSDR‘07, pp. 9–14 (2007)..



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