公开(公告)号：US20240404271A1

公开(公告)日：2024-12-05

申请号：US18800296

申请日：2024-08-12

Applicant: Tomahawk Robotics, Inc.

Inventor： William S. BOWMAN ,  Sean WAGONER ,  Andrew D. FALENDYSZ ,  Matthew D. SUMMER ,  Kevin MAKOVY ,  Jeffrey S. COOPER ,  Brad TRUESDELL

IPC: G06V10/96 ,  G05B13/02 ,  G06V10/70 ,  G06V10/764 ,  G06V10/94 ,  G06V20/56

Abstract: Methods and systems are described herein for hosting and arbitrating algorithms for the generation of structured frames of data from one or more sources of unstructured input frames. A plurality of frames may be received from a recording device and a plurality of object types to be recognized in the plurality of frames may be determined. A determination may be made of multiple machine learning models for recognizing the object types. The frames may be sequentially input into the machine learning models to obtain a plurality of sets of objects from the plurality of machine learning models and object indicators may be received from those machine learning models. A set of composite frames with the plurality of indicators corresponding to the plurality of objects may be generated, and an output stream may be generated including the set of composite frames to be played back in chronological order.

公开(公告)号：US20250086831A1

公开(公告)日：2025-03-13

申请号：US18959555

申请日：2024-11-25

Applicant: Tomahawk Robotics, Inc.

Inventor： Daniel R. HEDMAN ,  Matthew D. SUMMER ,  William S. BOWMAN ,  Michael E. BOWMAN ,  Brad TRUESDELL ,  Andrew D. FALENDYSZ

IPC: G06T7/73 ,  G06T7/60 ,  G06V10/774 ,  G06V20/17 ,  G06V40/20 ,  H04N7/18 ,  H04N23/661

Abstract: Methods and systems are described herein for determining three-dimensional locations of objects within identified portions of images. An image processing system may receive an image and an identification of location within an image. The image may be input into a machine learning model to detect one or more objects within the identified location. Multiple images may then be used to generate location estimations of those objects. Based on the location estimations, an accurate three-dimensional location may be calculated.

公开(公告)号：US20250022167A1

公开(公告)日：2025-01-16

申请号：US18350722

申请日：2023-07-11

Applicant: Tomahawk Robotics, Inc.

Inventor： Daniel R. HEDMAN ,  Matthew D. SUMMER ,  William S. BOWMAN ,  Michael E. BOWMAN ,  Brad TRUESDELL ,  Andrew D. FALENDYSZ

IPC: G06T7/73 ,  G05D1/10 ,  G06T7/60 ,  G06V10/774 ,  G06V20/17 ,  G06V40/20 ,  H04N7/18 ,  H04N23/661

Abstract: Methods and systems are described herein for determining three-dimensional locations of objects within identified portions of images. An image processing system may receive an image and an identification of location within an image. The image may be input into a machine learning model to detect one or more objects within the identified location. Multiple images may then be used to generate location estimations of those objects. Based on the location estimations, an accurate three-dimensional location may be calculated.

公开(公告)号：US20240378880A1

公开(公告)日：2024-11-14

申请号：US18772099

申请日：2024-07-12

Applicant: Tomahawk Robotics, Inc.

Inventor： William S. BOWMAN ,  Sean WAGONER ,  Andrew D. FALENDYSZ ,  Matthew D. SUMMER ,  Kevin MAKOVY ,  Jeffrey S. COOPER ,  Brad TRUESDELL

IPC: G06V10/96 ,  G05B13/02 ,  G06V10/70 ,  G06V10/764 ,  G06V10/94 ,  G06V20/56

Abstract: Methods and systems are described herein for hosting and arbitrating algorithms for the generation of structured frames of data from one or more sources of unstructured input frames. A plurality of frames may be received from a recording device and a plurality of object types to be recognized in the plurality of frames may be determined. A determination may be made of multiple machine learning models for recognizing the object types. The frames may be sequentially input into the machine learning models to obtain a plurality of sets of objects from the plurality of machine learning models and object indicators may be received from those machine learning models. A set of composite frames with the plurality of indicators corresponding to the plurality of objects may be generated, and an output stream may be generated including the set of composite frames to be played back in chronological order.