International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 10 Issue: 04 | Apr 2023
p-ISSN: 2395-0072
www.irjet.net
Pothole Detection using IoT, Android and iOS Shreya Ghute1, Xavier Dsouza2, Srushti Satardekar3 1 Shreya Ghute, 2Xavier Dsouza, 3Srushti Satardekar, Students, Dept. of Information Technology, Don Bosco
Institute of Technology, Mumbai University, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------
Abstract - Due to various reasons, potholes are created
pothole detection is based on laser imaging technique, which collects the road information using algorithms like Artificial neural network [3].
which causes problems in day to day lives of the people. The objective of this project was to make transparency between people and provide updates about potholes in their travel route. This project was focused on getting the data from a cloud database, reported by the user, and that data could be accessed through the mobile application. Project has achieved detecting the potholes and reporting the potholes successfully on the database. People can view the current pothole conditions and can report a pothole manually which is a key feature of the app. The IoT device can detect a pothole and location with the help of sensors like accelerometer, GPS, Arduino. The detected latitude, longitude, z axis values are sent to the cloud database for reporting. The future scope is to detect depth of the pothole to get accuracy in data and solve the problem more efficiently.
C. Another method by researchers Lin and Liu used using a vector machine algorithm could provide high accuracy.[4] This has high accuracy but requires more computational power.
3. TECHNICAL REQUIREMENTS The following technical requirements were chosen as a basis for pothole finder system: 1. System should be able to detect potholes along with its location while driving in a passenger car. Two-wheeler vehicles such as motorcycles and scooters are not considered.
Key Words:
Accelerometer, GPS sensor, sensing, potholes, detection, location.
2. System should be able to detect potholes in real time. Collection of raw data will be stored in a local SD card in the system.
1. INTRODUCTION
3. Data will be then pushed into a cloud database, and processed and stored into it.
Potholes have always been a menace and are one of the biggest problems which people face on a daily basis while they travel. There is presently no such system to track potholes on the road in India [1]. Our approach to detect potholes is using an IoT device fitted in cars. Users can also report manually through Android and iOS applications. This system can track and record the potholes in a centralized system. It displays the pothole’s progress on the map. This system will aid to reduce accidents and fatalities on roads due to potholes.
4. A smart-phone is required with Android OS or IOS to access the application for viewing the pothole. 5. An authenticated phone number is required to report through the mobile application. 6. System available on mobile should be able to display potholes on its locations.
2. RELATED WORK
7. Internet connectivity for viewing data in mobile.
A. A pothole detection system was created using various Android smartphones with accelerometers. They worked with accelerometers present in various smartphones using various pothole detection algorithms to deploy this system [2].
4. ARCHITECTURAL DESIGN The device is based on Arduino which is connected with sensors consisting of a 3-axis accelerometer ADXL345 used to detect a vertical force(pothole) using z-axis [5]and keeping a note of device positioning using x-axis. Accelerometer was tested at different sensitivities, using at 4g and 8g no accuracy was obtained as shown in fig.1. Using 16g in ADXL345 accuracy was observed as shown in fig.2. A GPS module, Ublox NEO-6M GPS [6] is used to record the location of the pothole.
B. There are various systems that use mobile sensing technology for detection of potholes. This part provides a short explanation about different mechanisms which were implemented on various resources. There is an image recognition method which Yu and Salari proposed for
© 2023, IRJET
|
Impact Factor value: 8.226
|
ISO 9001:2008 Certified Journal
|
Page 129