This technology is an image processing method that calculates the 3D position and angle of a microrobot by performing thresholding and noise removal on top-view and side-view images of the microrobot collected within a simulation environment, followed by setting a Region of Interest (ROI) and applying edge detection and line detection algorithms.
Challenges include reduced mobility efficiency due to the miniaturization of microrobots, increased control difficulty for real-world human applications, and a lack of precise state recognition technology for pre-testing and simulation.
This technology utilizes camera images to identify the initial position of the microrobot, performs ROI setting and length-based noise filtering, and then extracts the slope and length of line segments through edge and line detection to ultimately derive the microrobot's rotation angles (Yaw, Roll, Pitch) and position. It can be applied to industrial robots and automation systems, improving the control of medical microrobots by providing a method to clearly recognize their position and angle within a simulation environment.
This invention was developed with support from the Ministry of Trade, Industry and Energy for the development of a microrobotic system for the treatment of chronic total occlusion in myocardial infarction.
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