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Detection of bulk feed volume based on binocular stereo vision
Zhihai Liu1, Zhenrui Dai2, Qingliang Zeng2,3
1College of Transportation, Shandong University of Science and Technology, Qingdao, 266590, China.
Scientific Reports
|June 6, 2022
Summary
Accurately measuring mouse feed volume is vital for animal health. This study introduces a binocular stereo vision method to precisely calculate feed volume, achieving a 7.12% average error.
Area of Science:
- Biotechnology
- Computer Vision
- Animal Science
Background:
- Accurate monitoring of mouse feed intake is essential for understanding animal growth, development, and health status.
- Current methods for calculating bulk feed volume in mice present challenges.
Purpose of the Study:
- To propose and validate a novel method for detecting the bulk volume of mouse feed using binocular stereo vision.
- To address the limitations of existing feed volume calculation techniques.
Main Methods:
- Utilized binocular stereo vision for three-dimensional (3D) reconstruction of the feed surface, generating a dense point cloud.
- Applied projection methods to calculate point cloud volume, followed by denoising and Delaunay triangulation.
- Calculated the total volume by summing the volumes of tetrahedrons derived from triangulation.
Main Results:
- The proposed method significantly improved stereo matching accuracy, leading to more precise 3D surface point coordinates.
- Experimental validation using wood blocks as feed surrogates yielded an average volume calculation error of 7.12%.
- Demonstrated the effectiveness of binocular stereo vision for calculating remaining mouse feed volume.
Conclusions:
- Binocular stereo vision offers a viable and accurate solution for determining mouse feed volume.
- This technology can aid in better understanding and managing the nutritional requirements of mice.
- The method provides a foundation for automated and precise monitoring of feed consumption in research settings.
