BRICKS COUNTING FROM AN IMAGE USING IMAGE PROCESSING
Keywords:
component,, formatting,, styleAbstract
Construction progress is predominantly measured with manual site surveys. These surveys are labor-intensive, on-site manual investigations. The generated survey reports are subjective and approximate because they are based on the surveyors’ individual experiences. The “Counting bricks in an image using python” this project helps us to prevalent method of measuring progress is through manual site surveys. The prevalent method of measuring progress is through manual site surveys. These surveys are tedious and time consuming. They are also approximate, as counting the number of bricks in-place to compare against those ordered is a very laborious task compared to its end value. In previous research, we are able to count the number of bricks using single images. This paper presents a method for counting bricks in-placed to automate the brick site survey using image processing. This method improves the brick counting method on image to a continuous counting in image. It can compare the brick detection results in successive frames and accumulate the counts when new bricks appear. The method works by the following two steps. (1) Count the number of bricks in an image. and add new bricks to the count upon the appearance in an image. This paper also demonstrated a performance comparison of traditional brick counting approach and automated counting approach. Test results demonstrate that this method is capable of counting the number of bricks in an image with acceptable error.
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0 DEED).
You are free to:
- Share — copy and redistribute the material in any medium or format
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- NonCommercial — You may not use the material for commercial purposes .
- NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
Rights of Authors
Authors retain the following rights:
1. Copyright and other proprietary rights relating to the article, such as patent rights,
2. the right to use the substance of the article in future works, including lectures and books,
3. the right to reproduce the article for own purposes, provided the copies are not offered for sale,
4. the right to self-archive the article.
