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Automatic road crack detection and characterization

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Ecwaytech

The document proposes a fully automated system for detecting and characterizing cracks in road surfaces using image analysis techniques. This aims to minimize human subjectivity in traditional visual surveys. The system first performs unsupervised crack detection using samples from an image database. It then classifies the detected cracks according to type as defined in a distress catalog. A novel method also assigns severity levels by estimating crack widths. Experimental results on Portuguese road images show promising accuracy when evaluated against human experts.

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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 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 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 Sensors of Street Light Human Detection Power Calculator ZIGBEE RELAY Light Sensor ZIGBEE ARM MICROCONTROLLER PC (VB.NET) GPRS Wireless Transmission Module GPRS Wireless Transmission Module LIGHT
HARDWARE REQUIRMENT 8051(or)PIC - microcontroller project board IR - Sensor PC SOFTWAREREQUIRMENT Kiel ide Flash magic Embedded-c

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Automatic road crack detection and characterization

  • 1. 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 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 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.
  • 2. 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 Sensors of Street Light Human Detection Power Calculator ZIGBEE RELAY Light Sensor ZIGBEE ARM MICROCONTROLLER PC (VB.NET) GPRS Wireless Transmission Module GPRS Wireless Transmission Module LIGHT
  • 3. HARDWARE REQUIRMENT 8051(or)PIC - microcontroller project board IR - Sensor PC SOFTWAREREQUIRMENT Kiel ide Flash magic Embedded-c