IRO Journals

Journal of Ubiquitous Computing and Communication Technologies

Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
Volume-3 | Issue-2

Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach
Volume-3 | Issue-2

Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division
Volume-3 | Issue-2

Blockchain Framework for Communication between Vehicle through IoT Devices and Sensors
Volume-3 | Issue-2

Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method
Volume-3 | Issue-3

A Review on Data Securing Techniques using Internet of Medical Things
Volume-3 | Issue-3

Machine Learning Algorithms Performance Analysis for VLSI IC Design
Volume-3 | Issue-2

Maximizing the Prediction Accuracy in Tweet Sentiment Extraction using Tensor Flow based Deep Neural Networks
Volume-3 | Issue-2

Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment
Volume-3 | Issue-4

DDOS ATTACK DETECTION IN TELECOMMUNICATION NETWORK USING MACHINE LEARNING
Volume-1 | Issue-1

Gas Leakage Detection in Pipeline by SVM classifier with Automatic Eddy Current based Defect Recognition Method
Volume-3 | Issue-3

Design an Adaptive Hybrid Approach for Genetic Algorithm to Detect Effective Malware Detection in Android Division
Volume-3 | Issue-2

Comparison of Stock Price Prediction Models using Pre-trained Neural Networks
Volume-3 | Issue-2

Construction of a Framework for Selecting an Effective Learning Procedure in the School-Level Sector of Online Teaching Informatics
Volume-3 | Issue-4

Machine Learning Algorithms Performance Analysis for VLSI IC Design
Volume-3 | Issue-2

Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach
Volume-3 | Issue-2

Characterizing WDT subsystem of a Wi-Fi controller in an Automobile based on MIPS32 CPU platform across PVT
Volume-2 | Issue-4

Assimilation of IoT sensors for Data Visualization in a Smart Campus Environment
Volume-3 | Issue-4

Design of Data Mining Techniques for Online Blood Bank Management by CNN Model
Volume-3 | Issue-3

Ethereum and IOTA based Battery Management System with Internet of Vehicles
Volume-3 | Issue-3

Home / Archives / Volume-2 / Issue-3 / Article-3

Volume - 2 | Issue - 3 | september 2020

Smart Pothole Detection and Mapping System
Pages: 136-144
Published
08 September, 2020
Abstract

In any country public services and infrastructure is very crucial part of development. The qualities of these are shed light on how well the government is doing its job, the consequences of disparities in local funding. But there are few answers on these many questions. This is why this system was implemented to detect all types of potholes using different methods based on data acquired by ultrasonic sensor, gyroscope and image acquired by Pi-camera which gives the intensity and shape of the pothole in any given condition. Potholes have been a major problem in Mumbai road in recent times. Proposes system is trying to study potholes and their distribution on the roads of Mumbai with the help of hardware mentioned to acquire images and deep learning framework for potholes detection and mapping then using Android App and Google map it is generalize to the entire city.

Keywords

pothole detection mapping Internet of Things(IoT) image processing deep learning

Full Article PDF Download Article PDF 
×

Currently, subscription is the only source of revenue. The subscription resource covers the operating expenses such as web presence, online version, pre-press preparations, and staff wages.

To access the full PDF, please complete the payment process.

Subscription Details

Category Fee
Article Access Charge
For single article (Indian)
1,200 INR
Article Access Charge
For single article (non-Indian)
15 USD
Open Access Fee (Indian) 5,000 INR
Open Access Fee (non-Indian) 80 USD
Annual Subscription Fee
For 1 Journal (Indian)
15,000 INR
Annual Subscription Fee
For 1 Journal (non-Indian)
200 USD
secure PAY INR / USD
Subscription form: click here