Research on motion tracking and impact force detection of flying objects.

Area of Science:

• Robotics and Automation
• Computer Vision
• Mechanical Engineering

Background:

• Accurate measurement of airborne object motion and collision impact is crucial for safety and performance analysis.
• Existing methods face challenges with high-frame-rate image acquisition and precise parameter detection.

Purpose of the Study:

• To develop and validate a robust system for measuring motion parameters and collision impact forces of flying objects.
• To address limitations in high-frame-rate image processing for dynamic object tracking.

Main Methods:

• Established a binocular vision system for capturing object flight data.
• Calibrated the binocular camera for precise, high-speed image acquisition.
• Developed a novel image processing technique integrating Otsu's method and three-frame difference to prevent data gaps.
• Derived motion equations for a marked ball using the binocular vision system.
• Conducted experiments to quantify motion parameters and impact forces under various conditions.

Main Results:

• Successfully measured motion parameters and collision impact forces of flying objects.
• The integrated image processing method effectively resolved the "hole" issue in high-frame-rate acquisition.
• Experimental validation confirmed the system's accuracy in quantifying dynamics and impact forces.

Conclusions:

• The developed binocular vision system provides an accurate and reliable method for detecting motion parameters and collision impact forces of airborne objects.
• The novel image processing approach enhances the robustness of dynamic object tracking in high-speed scenarios.