Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Automatic road crack detection and characterization


Published on

Final Year IEEE Projects for BE, B.Tech, ME, M.Tech,M.Sc, MCA & Diploma Students latest Java, .Net, Matlab, NS2, Android, Embedded,Mechanical, Robtics, VLSI, Power Electronics, IEEE projects are given absolutely complete working product and document providing with real time Software & Embedded training......
Networking, Network Security, Data Mining, Cloud Computing, Grid Computing, Web Services, Mobile Computing, Software Engineering, Image Processing, E-Commerce, Games App, Multimedia, etc.,

Embedded Systems,Micro Controllers, DSC & DSP, VLSI Design, Biometrics, RFID, Finger Print, Smart Cards, IRIS, Bar Code, Bluetooth, Zigbee, GPS, Voice Control, Remote System, Power Electronics, etc.,

Mobile Robots, Service Robots, Industrial Robots, Defence Robots, Spy Robot, Artificial Robots, Automated Machine Control, Stair Climbing, Cleaning, Painting, Industry Security Robots, etc.,

Android Application, Web Services, Wireless Application, Bluetooth Application, WiFi Application, Mobile Security, Multimedia Projects, Multi Media, E-Commerce, Games Application, etc.,
Auto Mobiles, Hydraulics, Robotics, Air Assisted Exhaust Breaking System, Automatic Trolley for Material Handling System in Industry, Hydraulics And Pneumatics, CAD/CAM/CAE Projects, Special Purpose Hydraulics And Pneumatics, CATIA, ANSYS, 3D Model Animations, etc.,

23/A, 2nd Floor, SKS Complex,
OPP. Bus Stand, Karur-639 001.
TamilNadu , India.Cell: +91 9894917187.
Website: |
Mail to:

Published in: Engineering
  • Be the first to comment

  • Be the first to like this

Automatic road crack detection and characterization

  1. 1. ECWAY TECHNOLOGIES IEEE PROJECTS & SOFTWARE DEVELOPMENTS OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE BANGALORE / HYDRABAD CELL: 9894917187 | 875487 1111/2222/3333 | 8754872111 / 3111 / 4111 / 5111 / 6111 Visit: Mail to: AUTOMATIC ROAD CRACK DETECTION AND CHARACTERIZATION ABSTRACT A fully integrated system for the automatic detection and characterization of cracks in road flexible pavement surfaces, which does not require manually labeled samples, is proposed to minimize the human subjectivity resulting from traditional visual surveys. The first task addressed, i.e., crack detection, is based on a learning from samples paradigm, where a subset of the available image database is automatically selected and used for unsupervised training of the system. The system classifies non-overlapping image blocks as either containing crack pixels or not. The second task deals with crack type characterization, for which another classification system is constructed, to characterize the detected cracks' connect components. Cracks are labeled according to the types defined in the Portuguese Distress Catalog, with each different crack present in a given image receiving the appropriate label. Moreover, a novel methodology for the assignment of crack severity levels is introduced, computing an estimate for the width of each detected crack. Experimental crack detection and characterization results are presented based on images captured during a visual road pavement surface survey over Portuguese roads, with promising results. This is shown by the quantitative evaluation methodology introduced for the evaluation of this type of system, including a comparison with human experts' manual labeling results. EXISTING SYSTEM The Crack and Pothole in the roads is one of the major problems nowadays. People are struggling to travel from one place to another. People feel lazy to complain to the
  2. 2. government about the issue. So for this purpose, we propose the automatic crack and Pothole detection using the sensor and monitor on the Google map. PROPOSED SYSTEM In this paper we propose the automatic road crack and pothole detection using the sensor and the information will be updated on the PC. The place where the crack will be detected is monitored by using the Google map. If the crack has presented in the road by using the sensor the information regarding the crack or pothole is updated on the PC and also the information send the officials for the future recovery. By using this project, we reduce the human effect to report about the problem. BLOCK DIAGRAM ZIGBEE ARM MICROCONTROLLER GPRS Wireless Transmission Module ZIGBEE Sensors of Street Light Human Detection Power Calculator Light Sensor RELAY LIGHT
  3. 3. HARDWARE REQUIRMENT  8051(or)PIC - microcontroller project board  IR - Sensor  PC SOFTWAREREQUIRMENT  Kiel ide  Flash magic  Embedded-c