Monitoring of construction progress plays a very pivoting role in any infrastructural construction. One of the important issues in any construction activity is to know its progress status. Incorrect understanding of ongoing status can give rise to more added errors and mismanagement in the project. Normally, a project manager needs to move around the site so as to monitor the progress of the work done. In this paper, to avoid this time consuming process and in an effort to monitor the site progress in a Metro Environment, the concept of crowd sensing and image processing are considered as a whole. On the request from admin, the image of the construction site whose progress activity is to be verified is captured by the user, using Mobile Crowd Sensing (MCS). The image and location are sent to the central server. The image processing component attempts to match the captured image with the reference image. The system outputs the current bridge construction progress done. At the end, the accuracy of designed system is calculated and is proved to be factual.

Monitoring of construction progress plays a very significant role in any infrastructural construction. It is an exact and sure manner in which we check the quality, progress and accuracy of our construction activity. In order to get a clear glimpse of our project's progress, we need to monitor the activities well so as to avoid or address the problems before and as they arise. Normally, a project manager has to walk around the site so as to monitor the progress of the work done. In this paper, we introduce a concept which uses Mobile crowd sensing and Image processing in a combining way to monitor the construction sites in Metro environment. The user sends an image of construction site which gets stored on the cloud. The admin who wants to check the progress of site can ask for the image of any area of his interest. Image processing module aims to match the captured image with the referenced one. Finally, we integrate the system to get the final progress done to get some value in percentage. Keywords-Mobile Crowd Sensing, Image Processing, construction management, progress monitoring. I. INTRODUCTION A well-timed progress monitoring is very important for the successful completion of any construction project. Lately, mobile crowd sensing and image processing have been examined as a trending means of automated progress monitoring. Mobile Crowd Sensing is advantageous in recording, retrieval and transfer of wireless data, whereas Image Processing is able to analyze the site images to extract progress information[1]. Mobile crowd sensing is defined as the process of obtaining required information, or asking for contributions from a large group of people. It can be called as a trending sensing technique based on the group of crowd mutually with the sensing capabilities of various sensors such as mobile devices, vehicular sensors etc. Recently, the mobile internet and mobile social networking techniques have been developed so fast, that it has given rise to the increased scope of crowd problem solving systems using mobile devices. The traditional internet crowd sourcing is turning into a new benchmark that is Mobile Crowd Sensing. MCS promotes the increasing number of mobile device users to participate in crowd sensing tasks[2]. There have been introduced many projects related to infrastructural construction which made the use of equipments like digital camera or closed circuit television camera (CCTV) to record the images of construction site[3]. However it is not always so convenient to set up CCTV camera or screens to verify the progress. In this paper, an effort is used where we can use the crowd sensing and image processing combined together in order to monitor the construction operation in Metro Environment.