公开(公告)号：US09558563B1

公开(公告)日：2017-01-31

申请号：US14036523

申请日：2013-09-25

Applicant: Amazon Technologies, Inc.

Inventor： Vijay Kamarshi ,  Amit Tikare ,  Ronald Joseph Degges, Jr. ,  Eric Wang ,  Christopher David Coley

IPC: H04N5/225 ,  G06T7/20

CPC classification number: G06T7/20 ,  G06T7/246 ,  G06T2207/10016 ,  G06T2207/10028 ,  G06T2207/30196

Abstract: In a system that monitors the positions and movements of objects within an environment, a depth camera may be configured to produce depth images based on configurable measurement parameters such as illumination intensity and sensing duration. A supervisory component may be configured to roughly identify objects within an environment and to specify observation goals with respect to the objects. The measurement parameters of the depth camera may then be configured in accordance with the goals, and subsequent analyses of the environment may be based on depth images obtained using the measurement parameters.

Abstract translation: 在监视环境中对象的位置和移动的系统中，深度摄像机可以被配置为基于可配置的测量参数（例如照明强度和感测持续时间）产生深度图像。 监督组件可以被配置为粗略地识别环境内的对象并且指定关于对象的观察目标。 然后可以根据目标配置深度相机的测量参数，并且随后的环境分析可以基于使用测量参数获得的深度图像。

公开(公告)号：US11412108B1

公开(公告)日：2022-08-09

申请号：US16883700

申请日：2020-05-26

Applicant: Amazon Technologies, Inc.

Inventor： Vijay Kamarshi ,  Prasanna Venkatesh Krishnasamy ,  Amit Tikare

IPC: H04N5/222 ,  G01B11/02 ,  H04N13/00 ,  G06T7/246 ,  G01S5/00 ,  G06T7/73 ,  G06F3/01 ,  G06T7/20 ,  G06V20/00 ,  G06V20/20 ,  G06V20/56 ,  G06V40/10 ,  A61B34/20

Abstract: Techniques for efficiently identifying objects of interest in an environment and, thereafter, determining the location and/or orientation of those objects. As described below, a system may analyze images captured by a camera to identify objects that may be represented by the images. These objects may be identified in the images based on their size, color, and/or other physical attributes. After identifying these potential objects, the system may define a region around each object for further inspection. Thereafter, portions of a depth map of the environment corresponding to these regions may be analyzed to determine whether any of the objects identified from the images are “objects of interest”—or objects that the system has previously been instructed to track. These objects of interest may include portable projection surfaces, a user's hand, or any other physical object. The techniques identify these objects with reference to the respective depth signatures of these objects.

公开(公告)号：US09563955B1

公开(公告)日：2017-02-07

申请号：US13895025

申请日：2013-05-15

Applicant: Amazon Technologies. Inc.

Inventor： Vijay Kamarshi ,  Prasanna Venkatesh Krishnasamy ,  Amit Tikare

IPC: G06T7/00 ,  G06T7/20 ,  G01B11/02 ,  H04N13/00 ,  G06K9/00 ,  H04N5/222

CPC classification number: H04N5/2226 ,  A61B2034/2065 ,  G01B11/026 ,  G01S5/00 ,  G06K9/00362 ,  G06K9/00671 ,  G06K9/00791 ,  G06K2209/21 ,  G06T7/20 ,  G06T7/246 ,  G06T2207/10016 ,  G06T2207/10028 ,  G06T2207/30196 ,  H04N13/00

Abstract: Techniques for efficiently identifying objects of interest in an environment and, thereafter, tracking the location and/or orientation of those objects. As described below, a system may analyze images captured by a camera to identify objects that may be represented by the images. These objects may be identified in the images based on their size, color, and/or other physical attributes. After identifying these potential objects, the system may define a region around each object for further inspection. Thereafter, portions of a depth map of the environment corresponding to these regions may be analyzed to determine whether any of the objects identified from the images are “objects of interest”—or objects that the system has previously been instructed to track. These objects of interest may include portable projection surfaces, a user's hand, or any other physical object. The techniques identify these objects with reference to the respective depth signatures of these objects.

Abstract translation: 用于有效地识别环境中的感兴趣对象的技术，此后跟踪这些对象的位置和/或方位。 如下所述，系统可以分析由相机拍摄的图像以识别可由图像表示的对象。 这些对象可以根据图像的尺寸，颜色和/或其他物理属性在图像中被识别。 在识别这些潜在对象之后，系统可以定义每个对象周围的区域以供进一步检查。 此后，可以分析对应于这些区域的环境的深度图的部分，以确定从图像中识别的任何对象中的任何一个是否是“感兴趣的对象” - 或者系统先前已经被指示跟踪的对象。 这些感兴趣的物体可以包括便携式投影表面，用户的手或任何其他物理对象。 这些技术通过参考这些对象的相应深度签名来识别这些对象。

公开(公告)号：US10671846B1

公开(公告)日：2020-06-02

申请号：US15425660

申请日：2017-02-06

Applicant: Amazon Technologies, Inc.

Inventor： Vijay Kamarshi ,  Prasanna Venkatesh Krishnasamy ,  Amit Tikare

IPC: G06K9/00 ,  G06T7/73 ,  G06F3/01

Abstract: Techniques for efficiently identifying objects of interest in an environment and, thereafter, determining the location and/or orientation of those objects. As described below, a system may analyze images captured by a camera to identify objects that may be represented by the images. These objects may be identified in the images based on their size, color, and/or other physical attributes. After identifying these potential objects, the system may define a region around each object for further inspection. Thereafter, portions of a depth map of the environment corresponding to these regions may be analyzed to determine whether any of the objects identified from the images are “objects of interest”—or objects that the system has previously been instructed to track. These objects of interest may include portable projection surfaces, a user's hand, or any other physical object. The techniques identify these objects with reference to the respective depth signatures of these objects.

公开(公告)号：US10514256B1

公开(公告)日：2019-12-24

申请号：US13888047

申请日：2013-05-06

Applicant: Amazon Technologies, Inc.

Inventor： Vijay Kamarshi ,  Robert Warren Sjoberg ,  Menashe Haskin ,  Amit Tikare

IPC: G01C3/08

Abstract: In some examples, a vision system includes multiple time of flight (ToF) cameras and a single illumination source. The illumination source and the multiple ToF cameras may be synchronized with each other, such as through a phase locked loop based on a generated control signal. A first one of the ToF cameras may be co-located with the illumination source, and a second one of the ToF cameras may be spaced away from the illumination source and the first ToF camera. For instance, the first ToF camera may have a wider field of view (FoV) for generating depth mapping of a scene, while the second ToF camera may have a narrower FoV for generating higher resolution depth mapping of a particular portion of the scene, such as for gesture recognition.