Accuracy Improvement of Binocular Vision Measurement System for Slope Deformation Monitoring

Area of Science:

• Geotechnical Engineering
• Geosensing Technology
• Computer Vision

Background:

• Binocular vision systems are crucial for slope displacement monitoring.
• Monitoring accuracy is often limited by system structure and environmental factors.
• Understanding these limitations is key to improving measurement reliability.

Purpose of the Study:

• To analyze the limitations of binocular vision technology in slope monitoring accuracy.
• To investigate the influence of system structure and environmental parameters on monitoring errors.
• To propose methods for enhancing the accuracy and reliability of slope deformation monitoring.

Main Methods:

• Error analysis theory applied to functional relationships between structure parameters and monitoring error.
• Laboratory testing and sensitivity analysis to obtain error distribution curves.
• Development of image optimization methods based on environmental parameter error distributions.

Main Results:

• Identified key factors affecting slope surface displacement monitoring accuracy.
• Established functional relationships between structure parameters and monitoring error.
• Proposed parameter selection criteria and effective image optimization techniques.
• Demonstrated significant improvement in measurement accuracy through extensive testing.

Conclusions:

• The developed system and methods effectively improve the accuracy of slope deformation monitoring.
• Parameter selection and image optimization are critical for overcoming binocular vision limitations.
• The proposed approach is reliable and accurate for on-site slope displacement measurements.