000306700 001__ 306700
000306700 005__ 20251203140118.0
000306700 0247_ $$2arXiv$$aarXiv:2511.20254
000306700 0247_ $$2doi$$a2511.20254
000306700 037__ $$aDKFZ-2025-02690
000306700 1001_ $$0P:(DE-He78)c2ea3fc4e18ec924b975ab72bf843cf0$$aJenke, Alexander$$b0$$eCorresponding author
000306700 245__ $$aXiCAD: Camera Activation Detection in the Da Vinci Xi User Interface
000306700 260__ $$c2025
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000306700 520__ $$aPurpose: Robot-assisted minimally invasive surgery relies on endoscopic video as the sole intraoperative visual feedback. The DaVinci Xi system overlays a graphical user interface (UI) that indicates the state of each robotic arm, including the activation of the endoscope arm. Detecting this activation provides valuable metadata such as camera movement information, which can support downstream surgical data science tasks including tool tracking, skill assessment, or camera control automation. Methods: We developed a lightweight pipeline based on a ResNet18 convolutional neural network to automatically identify the position of the camera tile and its activation state within the DaVinci Xi UI. The model was fine-tuned on manually annotated data from the SurgToolLoc dataset and evaluated across three public datasets comprising over 70,000 frames. Results: The model achieved F1-scores between 0.993 and 1.000 for the binary detection of active cameras and correctly localized the camera tile in all cases without false multiple-camera detections. Conclusion: The proposed pipeline enables reliable, real-time extraction of camera activation metadata from surgical videos, facilitating automated preprocessing and analysis for diverse downstream applications. All code, trained models, and annotations are publicly available.
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000306700 536__ $$0G:(GEPRIS)390696704$$aDFG project G:(GEPRIS)390696704 - EXC 2050: Centre for Tactile Internet with Human-in-the-Loop (CeTI) (390696704)$$c390696704$$x2
000306700 588__ $$aDataset connected to arXivarXiv
000306700 7001_ $$0P:(DE-He78)cbde465cf4a8129c7f200a88aa5e9f99$$aJust, Gregor$$b1
000306700 7001_ $$0P:(DE-HGF)0$$ade Boer, Claas$$b2
000306700 7001_ $$0P:(DE-He78)c68bcd9fdce315f09d37310dc10833a3$$aWagner, Martin$$b3
000306700 7001_ $$0P:(DE-He78)7e1dc3bb70d3108f5a58a20d7fc75981$$aBodenstedt, Sebastian$$b4
000306700 7001_ $$0P:(DE-He78)191434cf815e27a18a86287bacc2d496$$aSpeidel, Stefanie$$b5$$eLast author
000306700 773__ $$a2511.20254$$p9$$tArxiv$$vOnline$$y2025
000306700 8564_ $$uhttps://arxiv.org/pdf/2511.20254
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