BRIDGE CRACK DETECTION AND MONITORING USING IMAGE PROCESSING

Monitoring Bridges this day gets very importance as it is the most important part of the roadway, train transportation. The common problem to the bridge safety is today of bridge cracks. The different parameters on which the crack depends are area, length and width. Tiny and the cracks which are not clear that are not detected. Bridges may get collapsed due to many reasons such as flooding, natural calamities, or any concrete problems. Disasters are naturally occurring events which destroys everything including plains surfaces, roads and bridges also. The cracks which occur on bridges can be of various types such as big crack, thin crack, etc. Now when we talk about image processing the image which will be captured should be preprocessed so that we do proper detection of crack the shadow and rough surfaces should not be misinterpreted as crack on the bridge. The study states the maximum allowable crack size is 0.3mm, if the size of crack is more than this the bridge conditions will be not suitable for use. So there is need to design a system which can continuously monitor conditions of bridges. The system which we are designing will be useful for public safety and will reduce human losses. The system which we have constructed will help in disaster management and recovery. Bridge crack detection and safety monitoring system can monitor and analyze the condition of the bridge in real time. The manual efforts are reduced due to this automatic system which we have designed. The environment and other safety parameters are also monitored. This paper presents a survey of structural health monitoring using WSNs. We are using image processing which have output in our required manner. The image processing gives accurate results of every image captured. The embedded system is giving backup to our work.