Image recognition and automated data extraction for application in the construction industry.
Published: 2005
Language: eng
Number of pages: 87
Description: Timely information about a construction project is crucial for project management. Collecting data using traditional, manual ways is costly. Manual data collection is also tedious, prone to error and time-consuming. Automated data collection is a solution for reducing cost and increasing accuracy. In this research, a prototype method for collecting data using digital videos was investigated.For this purpose, digital image processing was used. The data of interest were the cycle-times of a tower crane delivering concrete. Several ways to detect the hopper and the hook were examined. After detecting the hook, an algorithm was developed to calculate cycle-time. The results were promising.
Notes: Source: Masters Abstracts International, Volume: 44-02, page: 0979.

Thesis (M.A.Sc.)--University of Toronto, 2005.

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