Intuitive Surgical had two patents in edtech during Q1 2024. Intuitive Surgical Inc’s patents filed in Q1 2024 involve systems that use sensors to track tool movement based on user input, creating a visual index of motion pictures for training and performance evaluation. Another system uses image recognition to identify medical components in a medical environment and provide virtual guidance based on kinematic information, aiding in procedures. GlobalData’s report on Intuitive Surgical gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Intuitive Surgical had no grants in edtech as a theme in Q1 2024.
Recent Patents
Application: Training users using indexed to motion pictures (Patent ID: US20240071243A1)
The patent filed by Intuitive Surgical Inc. describes a system that includes a sensor to detect changes in the position of an input control component and a tool, along with a collection of motion pictures showing tool movement controlled by user input. The system also involves determining a user's performance, recording tool movement by individual users, indexing the recorded motion pictures, generating an interactive visual index, and displaying selected motion pictures based on user input at the interactive visual index.
The system further comprises processors that identify motion pictures showing tool movement controlled by user input, display a visual index based on performance metrics, receive user selections from the visual index, and display motion pictures corresponding to the selected performance level. The metrics used include economy of motion, workspace range performance, and speed of movement. Additionally, the system can display the visual index in a user interface, show the density of users at each performance level, and provide an overall score for the users. The patent also covers a computer-implemented method and a non-transitory computer-readable medium with instructions for identifying motion pictures, generating a visual index, and displaying motion pictures based on user performance metrics related to tool manipulation.
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