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公开(公告)号：US11854260B2
公开(公告)日：2023-12-26
申请号：US16516105
申请日：2019-07-18
Applicant: AUTODESK, INC.
Inventor： Fraser Anderson , Jun Gong , George Fitzmaurice
CPC classification number: G06V20/20 , G02B27/017 , G02C11/10 , G06F3/013 , G06V40/18 , G06V40/193 , G02B2027/0178
Abstract: Techniques disclosed herein combine computer vision with eye tracking by identifying, via computer vision, safety hazards in a video captured by a camera mounted on a pair of safety glasses, and generating an alert if a user wearing the safety glasses has not (recently) noticed the hazard. Whether the user has noticed the hazard is determined based on eye tracking information extracted from a video captured by another camera that is mounted on the safety glasses and points toward the user. As a result, safety hazards may be automatically detected and reported to the user. In addition, only those hazards that have not been (recently) noticed by the user cause an alert to be generated, so the user is not distracted with unnecessary notifications.
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公开(公告)号：US12242987B2
公开(公告)日：2025-03-04
申请号：US16537463
申请日：2019-08-09
Applicant: AUTODESK, INC.
Inventor： Jun Gong , Fraser Anderson , George Fitzmaurice , Tovi Grossman
IPC: G06Q10/0631 , G06F18/214 , G06F18/24 , G06N20/00 , G06V40/20
Abstract: Techniques are disclosed for determining users, tasks, and levels of expertise in fabrication environments. Sensors may be placed in a fabrication environment, instrumented in tools, and/or worn on users. Given labeled features extracted from sensor data, machine learning techniques are used to train models to recognize users, tasks, and levels of expertise. The trained models may then be deployed to determine the users, tasks, and levels of expertise in a fabrication environment based on features extracted from new sensor data. In turn, actions such as displaying guidance or instructional materials, or locking a user out of using certain tools or parts of the fabrication environment, may be taken.
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