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公开(公告)号：US11386764B2
公开(公告)日：2022-07-12
申请号：US16589887
申请日：2019-10-01
发明人： John M. Hageman , Herman Herman , Tarik Loukili
摘要： One or more undesired objects can be detected in a restricted zone at worksite. In one example, a base station is configured to be placed in or around the restricted zone. The base station includes a housing, a sensor suite, and a base station controller. The sensor suite is configured to detect one or more undesired object in a subzone at least partially overlapping with the restricted zone and generate an output signal based on the undesired object. The subzone is limited by a range of detection from the sensor suite. The base station controller can receive the output signal from the sensor suite and transmit an alert signal. A warning indicator can receive the alert signal and activate in response to receiving the alert signal. The warning indicator can be positioned on the base station or on a mobile device located remote from the base station.
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公开(公告)号：US10188036B2
公开(公告)日：2019-01-29
申请号：US15253641
申请日：2016-08-31
IPC分类号： G06K9/00 , A01D41/127 , A01D41/06 , A01D61/00 , A01F12/46
摘要： Disclosed herein is a diagnostic module configured to determine an average image of a set or a sequence of collected images, to obtain a last image of the set or the sequence of collected images, and to determine a difference between the average image and the last image to yield a differenced image. Background image data or background pixels are eliminated from the differenced image to produce an initial image mask of unchanged content in the last image. A diagnostic module or data processor determines a mask area of the initial image mask or a revised image mask derived from the initial image mask. A diagnostic module or data processor generates an alert data message to inspect or clean the imaging system if the mask area exceeds a threshold area.
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公开(公告)号：US10172285B2
公开(公告)日：2019-01-08
申请号：US15253619
申请日：2016-08-31
发明人： Victor S. Sierra , Tarik Loukili , Aaron J. Bruns , John M. Hageman , Herman Herman , Vladimir A. Altman , Jaime W. Bourne
IPC分类号： A01D41/127 , A01D61/00 , A01F12/46 , A01D43/08
摘要： Disclosed herein is a system for evaluating agricultural material which comprises, in one embodiment, a housing having a passage in or through an interior of the housing with an inlet for receiving agricultural material and an outlet for outputting the agricultural material. The system further comprises a wall opening in a wall of the passage. An imaging device having a lens is located inward from a border of the imaging device. The imaging device is pivotally mounted for rotation with respect to a housing such that in a closed state the border of the imaging device rests on, engages or interlocks the wall opening of the housing, and in an open state the border exposes the wall opening and an interior of the housing.
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公开(公告)号：US20170112056A1
公开(公告)日：2017-04-27
申请号：US15253619
申请日：2016-08-31
发明人： Victor S. Sierra , Tarik Loukili , Aaron J. Bruns , John M. Hageman , Herman Herman , Vladimir A. Altman , Jaime W. Bourne
IPC分类号： A01D41/127 , A01F12/46 , A01D61/00
CPC分类号： A01D41/127 , A01D43/085 , A01D61/00 , A01F12/46
摘要： Disclosed herein is a system for evaluating agricultural material which comprises, in one embodiment, a housing having a passage in or through an interior of the housing with an inlet for receiving agricultural material and an outlet for outputting the agricultural material. The system further comprises a wall opening in a wall of the passage. An imaging device having a lens is located inward from a border of the imaging device. The imaging device is pivotally mounted for rotation with respect to a housing such that in a closed state the border of the imaging device rests on, engages or interlocks the wall opening of the housing, and in an open state the border exposes the wall opening and an interior of the housing.
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公开(公告)号：US20210097839A1
公开(公告)日：2021-04-01
申请号：US16589887
申请日：2019-10-01
发明人： John M. Hageman , Herman Herman , Tarik Loukili
摘要： One or more undesired objects can be detected in a restricted zone at worksite. In one example, a base station is configured to be placed in or around the restricted zone. The base station includes a housing, a sensor suite, and a base station controller. The sensor suite is configured to detect one or more undesired object in a subzone at least partially overlapping with the restricted zone and generate an output signal based on the undesired object. The subzone is limited by a range of detection from the sensor suite. The base station controller can receive the output signal from the sensor suite and transmit an alert signal. A warning indicator can receive the alert signal and activate in response to receiving the alert signal. The warning indicator can be positioned on the base station or on a mobile device located remote from the base station.
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公开(公告)号：US20170112057A1
公开(公告)日：2017-04-27
申请号：US15253641
申请日：2016-08-31
IPC分类号： A01D41/127 , G06T7/40 , G06T7/00
CPC分类号： A01D41/127 , A01D41/06 , A01D41/1277 , A01D61/00 , A01F12/46 , G06K9/00791 , G06T2207/10024 , G06T2207/30188
摘要： Disclosed herein is a diagnostic module configured to determine an average image of a set or a sequence of collected images, to obtain a last image of the set or the sequence of collected images, and to determine a difference between the average image and the last image to yield a differenced image. Background image data or background pixels are eliminated from the differenced image to produce an initial image mask of unchanged content in the last image. A diagnostic module or data processor determines a mask area of the initial image mask or a revised image mask derived from the initial image mask. A diagnostic module or data processor generates an alert data message to inspect or clean the imaging system if the mask area exceeds a threshold area.
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公开(公告)号：US10664726B2
公开(公告)日：2020-05-26
申请号：US15723073
申请日：2017-10-02
发明人： Carl Knox Wellington , Aaron J. Bruns , Victor S. Sierra , James J. Phelan , John M. Hageman , Cristian Dima , Hanke Boesch , Herman Herman , Zachary Abraham Pezzementi , Cason Robert Male , Joan Campoy , Carlos Vallespi-gonzalez
摘要： A method and non-transitory computer-readable medium capture an image of bulk grain and apply a feature extractor to the image to determine a feature of the bulk grain in the image. For each of a plurality of different sampling locations in the image, based upon the feature of the bulk grain at the sampling location, a determination is made regarding a classification score for the presence of a classification of material at the sampling location. A quality of the bulk grain of the image is determined based upon an aggregation of the classification scores for the presence of the classification of material at the sampling locations.
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公开(公告)号：US20180025254A1
公开(公告)日：2018-01-25
申请号：US15723073
申请日：2017-10-02
发明人： Carl Knox Wellington , Aaron J. Bruns , Victor S. Sierra , James J. Phelan , John M. Hageman , Cristian Dima , Hanke Boesch , Herman Herman , Zachary Abraham Pezzementi , Cason Robert Male , Joan Campoy , Carlos Vallespi-gonzalez
CPC分类号： G06K9/6267 , A01D41/1277 , G06K9/0014 , G06K9/036 , G06K9/342 , G06K9/52 , G06K2209/17 , G06T7/0004 , G06T7/12 , G06T2207/20081 , G06T2207/30108
摘要： A method and non-transitory computer-readable medium capture an image of bulk grain and apply a feature extractor to the image to determine a feature of the bulk grain in the image. For each of a plurality of different sampling locations in the image, based upon the feature of the bulk grain at the sampling location, a determination is made regarding a classification score for the presence of a classification of material at the sampling location. A quality of the bulk grain of the image is determined based upon an aggregation of the classification scores for the presence of the classification of material at the sampling locations.
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公开(公告)号：US09779330B2
公开(公告)日：2017-10-03
申请号：US14583473
申请日：2014-12-26
发明人： Carl Knox Wellington , Aaron J. Bruns , Victor S. Sierra , James J. Phelan , John M. Hageman , Cristian Dima , Hanke Boesch , Herman Herman , Zachary Abraham Pezzementi , Cason Robert Male , Joan Campoy , Carlos Vallespi-gonzalez
CPC分类号： G06K9/6267 , A01D41/1277 , G06K9/0014 , G06K9/036 , G06K9/342 , G06K9/52 , G06K2209/17 , G06T7/0004 , G06T7/12 , G06T2207/20081 , G06T2207/30108
摘要： A method and non-transitory computer-readable medium capture an image of bulk grain and apply a feature extractor to the image to determine a feature of the bulk grain in the image. For each of a plurality of different sampling locations in the image, based upon the feature of the bulk grain at the sampling location, a determination is made regarding a classification score for the presence of a classification of material at the sampling location. A quality of the bulk grain of the image is determined based upon an aggregation of the classification scores for the presence of the classification of material at the sampling locations.
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公开(公告)号：US20160189007A1
公开(公告)日：2016-06-30
申请号：US14583473
申请日：2014-12-26
发明人： Carl Knox Wellington , Aaron J. Bruns , Victor S. Sierra , James J. Phelan , John M. Hageman , Cristian Dima , Hanke Boesch , Herman Herman , Zachary Abraham Pezzementi , Carson Robert Male , Joan Campoy , Carlos Vallespi-gonzalez
CPC分类号： G06K9/6267 , A01D41/1277 , G06K9/0014 , G06K9/036 , G06K9/342 , G06K9/52 , G06K2209/17 , G06T7/0004 , G06T7/12 , G06T2207/20081 , G06T2207/30108
摘要： A method and non-transitory computer-readable medium capture an image of bulk grain and apply a feature extractor to the image to determine a feature of the bulk grain in the image. For each of a plurality of different sampling locations in the image, based upon the feature of the bulk grain at the sampling location, a determination is made regarding a classification score for the presence of a classification of material at the sampling location. A quality of the bulk grain of the image is determined based upon an aggregation of the classification scores for the presence of the classification of material at the sampling locations.
摘要翻译： 一种方法和非暂时的计算机可读介质捕获大块颗粒的图像并将特征提取器应用于图像以确定图像中的大块颗粒的特征。 对于图像中的多个不同采样位置中的每一个，基于采样位置处的散粒的特征，确定在采样位置处材料分类的存在的分类分数。 基于在采样位置处材料分类的存在的分类分数的聚合来确定图像的散粒的质量。
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