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The project aims to develop an automated system for finding the dimensions of the road assets. All this process is being done manually before which required a lot of manpower, time, and cost. But with Automated Asset Management (AAM) all this process is now shifted towards automation and that saves a lot of resources. The Automated Asset Management will help the transportation department in maintaining the road asset`s condition on time. The system will take four input data files with extensions (txt, bin, json, jpg) and it will give you the dimensions of the assets identified in the image.
The system uses LiDAR point cloud data and maps the 3D point data on the 2D image. It will generate an excel sheet in which the information regarding the assets and their dimensions are stored. |
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