Laparoscopic camera control robot based on surgical video analysis and method for adjusting laparoscopic camera views using the same

Laparoscopic camera control robot with automated view adjustment based on surgical video analysis

This technology is a laparoscopic camera control robot and a method for adjusting the camera view that uses AI algorithms to analyze real-time laparoscopic surgical footage. It autonomously controls the optimal camera perspective by recognizing surgical instruments, anatomical structures, and surgical actions.

The quality of laparoscopic camera operation has historically been inconsistent, depending on the skill level and fatigue of the surgical assistant. Furthermore, manual operation methods often lead to interruptions in the surgeon's workflow and a decrease in concentration.

This technology proposes a method that adjusts the camera center based on the position of surgical instruments within the laparoscopic video, corrects screen tilt by analyzing anatomical structures and environmental data, and automatically performs zoom-in and zoom-out functions based on the analysis of surgical actions. Applicable to all types of laparoscopic surgery, it reduces reliance on assistant personnel while simultaneously enhancing the surgeon's focus and the overall quality of the procedure.

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Key Features:

• A step of acquiring real-time surgical footage from the laparoscopic camera during surgery
• A step of identifying the surgical instruments and anatomical structures appearing in the acquired surgical footage
• A step of analyzing surgical actions corresponding to the movement of the surgical instruments within the footage
• A step of adjusting the laparoscopic camera view based on the identification and analysis results

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This invention was developed with support from the Ministry of Science and ICT for the development of an automated rectal cancer surgery stage recognition system based on deep learning analysis of surgical video data.