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1. 发明申请

WO2017052926A1 MONITORING OF GAUGES 审中-公开
标题翻译：仪表监测
公开(公告)号：WO2017052926A1
公开(公告)日：2017-03-30
申请号：PCT/US2016/048429
申请日：2016-08-24
申请人： INTEL CORPORATION
发明人： CHATTOPADHYAY, Rita , RUSSELL, Anne M. , BAYBA, David M. , GODDING, Gary
IPC分类号： G06T7/00 , G01B3/56 , G01B3/22
CPC分类号： G01B11/26 , G01D13/22 , G01D18/00 , G06F11/00 , G06K9/00771 , G06K9/78 , G06K2209/03 , H04W4/70
摘要： Methods, systems, and storage media for monitoring a gauge are disclosed herein. In an embodiment, an image processing module may receive a digital image of a gauge to identify an analog value indicator of the gauge and to form an indicator representation corresponding to the analog value indicator. A geometric analysis module may determine from the indicator representation a geometric characteristic corresponding to the analog value indicator and an indicated gauge value. Other embodiments may be disclosed and/or claimed.
摘要翻译：本文公开了用于监测仪表的方法，系统和存储介质。在一个实施例中，图像处理模块可以接收仪表的数字图像以识别量规的模拟值指示符并形成对应于模拟值指示符的指示符表示。几何分析模块可以从指示符表示确定与模拟值指示符相对应的几何特征和指示的计量值。可以公开和/或要求保护其他实施例。

2. 发明申请

WO2016195897A1 SYSTEM FOR ANALYTIC MODEL DEVELOPMENT 审中-公开
标题翻译：分析模型开发系统
公开(公告)号：WO2016195897A1
公开(公告)日：2016-12-08
申请号：PCT/US2016/030684
申请日：2016-05-04
申请人： INTEL CORPORATION
发明人： FRALICK, Celeste R. , CHATTOPADHYAY, Rita , SCHOENBERG, Sebastian , WILDE, Donald S. , GURBACKI, Phillip M.
IPC分类号： G06F9/44 , G06F17/00
CPC分类号： G06F17/5009 , G06F3/0482 , G06F3/04842 , G06F3/04847 , G06F8/20 , G06F8/35 , G06F8/38 , G06F9/453
摘要： This disclosure is directed to a system for analytic model development. In general, an analytic system may be able to formulate a model of a target system based on user interaction and data received from the system, and to perform real time activities based on the model. An analytics system may comprise at least a segment recipe module (SRM), a user interface module (UIM) and an automated analytics module (AAM). The SRM may include at least one segment recipe for use in configuring the UIM and AAM. For example, the UIM may be configured to present plain language prompts to a user. At least one of the segment recipe or data input by the user in response to the prompts may be used to configure the AAM to generate the model. The AAM may also perform real time activities that generate notifications, etc. based on the model.
摘要翻译：本公开涉及用于分析模型开发的系统。通常，分析系统可能能够基于从系统接收到的用户交互和数据来制定目标系统的模型，并且基于该模型来执行实时活动。分析系统可以至少包括段配方模块（SRM），用户接口模块（UIM）和自动分析模块（AAM）。 SRM可以包括用于配置UIM和AAM的至少一个段配方。例如，UIM可以被配置为向用户呈现简单的语言提示。响应于提示，用户输入的段配方或数据中的至少一个可以用于配置AAM以生成模型。 AAM还可以基于模型执行生成通知等的实时活动。

3. 发明申请

WO2022139781A1 AUTONOMOUS MOBILE ROBOT SCALING 审中-公开
公开(公告)号：WO2022139781A1
公开(公告)日：2022-06-30
申请号：PCT/US2020/066289
申请日：2020-12-21
申请人： INTEL CORPORATION
发明人： SINGH, Ruchika Chawla , CHATTOPADHYAY, Rita , MANEPALLI, Sangeeta , CHIN, Siew Wen
IPC分类号： B25J9/16
摘要： A robot including a resource sharing circuit, configured to operate according to a resource utilization limit, and comprising a processor, configured to receive resource data representing a resource utilization of the robot; if the resource utilization of the robot is within a predetermined range, operate according to a first operational mode, wherein an upper limit of the predetermined range is defined by a tolerance relative to the resource utilization limit; if the resource utilization of the robot is outside of the predetermined range, operate according to a second operational mode; wherein the first operational mode includes controlling a communication circuit to send a first wireless signal representing an availability to accept a task; and wherein the second operational mode includes controlling the communication circuit to send a second wireless signal representing an availability to allocate a task to an external device for remote processing.

4. 发明申请

WO2018004921A1 TECHNOLOGIES FOR EFFICIENT IDENTITY RECOGNITION BASED ON SKIN FEATURES 审中-公开
标题翻译：基于皮肤特征的有效身份识别技术
公开(公告)号：WO2018004921A1
公开(公告)日：2018-01-04
申请号：PCT/US2017/034943
申请日：2017-05-30
申请人： INTEL CORPORATION
发明人： CHATTOPADHYAY, Rita , ALAM, Tina
IPC分类号： G06K9/00 , G06K9/48 , G06K9/46
摘要： Technologies for efficient identity recognition based on skin features include a compute device. The compute device includes an image capture device and an image acquisition module to obtain, with the image capture device, an image that depicts the skin of the person. The compute device also includes a skin feature determination module to identify pixels in the obtained image that are associated with the skin of the person, and determine one or more features of the skin based on the identified pixels. Additionally, the compute device includes an identity determination module to generate a feature vector that includes the determined features of the skin, and analyze the feature vector with reference data to determine an identity of the person. Other embodiments are described and claimed.
摘要翻译：基于皮肤特征的高效身份识别技术包括计算设备。该计算设备包括图像捕获设备和图像捕获模块，以利用图像捕获设备获得描绘该人的皮肤的图像。计算设备还包括皮肤特征确定模块，以识别所获得的图像中的与人的皮肤相关联的像素，并且基于所识别的像素来确定皮肤的一个或多个特征。另外，计算设备包括身份确定模块，以生成包括所确定的皮肤的特征的特征向量，并且利用参考数据分析特征向量以确定该人的身份。描述并要求保护其他实施例。

5. 发明申请

WO2016191003A1 APPARATUS AND METHOD FOR CONDITION MONITORING OF MULTIPLE ELECTRICAL SUB-SYSTEMS 审中-公开
标题翻译：多电子系统状态监测的装置和方法
公开(公告)号：WO2016191003A1
公开(公告)日：2016-12-01
申请号：PCT/US2016/029228
申请日：2016-04-25
申请人： INTEL CORPORATION
发明人： CHATTOPADHYAY, Rita , GURBACKI, Phillip M.
IPC分类号： G01R31/40 , G01R21/06 , G01R19/02 , G01R19/04 , G01R19/25
CPC分类号： G01R21/00 , F24F11/30 , F24F11/47 , F24F11/52 , F24F2140/60 , G01R19/0092 , G01R21/006
摘要： Described is an apparatus which comprises: one or more sensors for coupling to a power source and for sensing electrical parameters of the power source, wherein the power source is operable to provide power to a system having one or more sub-systems; and a processor to analyze the sensed electrical parameters and to detect and identify one or more events associated with the system and the one or more sub-systems.
摘要翻译：描述了一种装置，其包括：用于耦合到电源并用于感测电源的电参数的一个或多个传感器，其中电源可操作以向具有一个或多个子系统的系统提供电力; 以及处理器，用于分析所感测的电参数并且检测和识别与所述系统和所述一个或多个子系统相关联的一个或多个事件。

6. 发明申请

WO2016028367A1 SYSTEM FOR DETERMINING SCALING IN A BOILER 审中-公开
标题翻译：锅炉定标系统
公开(公告)号：WO2016028367A1
公开(公告)日：2016-02-25
申请号：PCT/US2015/035193
申请日：2015-06-10
申请人： INTEL CORPORATION
发明人： CHATTOPADHYAY, Rita , VAN, Hoang T. , RYAN, Trevor , HOUGH, Paul F.
IPC分类号： F24H9/20 , F24H1/20
CPC分类号： F22B37/38 , F22B1/284 , G01M99/00
摘要： The present disclosure is directed to a system for determining scaling in a boiler. At least one sensor may monitor a boiler during operation and provide sensor data to a boiler monitoring module including a boiler scaling determination module that may determine an amount of scaling in the boiler. Example sensor data may comprise power input, a temperature of liquid in the boiler and an air temperature within an enclosure housing the boiler. The boiler monitoring module may determine thermal energy transfer to the boiler based on the liquid and enclosure temperatures. A machine learning engine may determine a rate of thermal energy transfer to the liquid in view of the power input, the rate of thermal energy transfer being evaluated by the machine learning engine to identify delay in the rate of thermal energy transfer that quantifies an amount of scaling in the boiler.
摘要翻译：本公开涉及一种用于确定锅炉中的缩放的系统。至少一个传感器可以在操作期间监测锅炉，并向锅炉监控模块提供传感器数据，该锅炉监测模块包括可以确定锅炉中的结垢量的锅炉比例确定模块。示例性传感器数据可以包括功率输入，锅炉中液体的温度以及容纳锅炉的外壳内的空气温度。锅炉监控模块可以基于液体和外壳温度来确定到锅炉的热能传递。机器学习引擎可以根据功率输入来确定到液体的热能传递速率，由机器学习引擎评估的热能传递速率以识别热能传递速率的延迟，其量化量在锅炉中缩放。

7. 发明公开

EP4369044A1 INTELLIGENT AND ADAPTIVE MULTI-MODAL REAL-TIME SIMULTANEOUS LOCALIZATION AND MAPPING BASED ON LIGHT DETECTION AND RANGING AND CAMERA OR IMAGE SENSORS 审中-公开
公开(公告)号：EP4369044A1
公开(公告)日：2024-05-15
申请号：EP23183021.7
申请日：2023-07-03
申请人： INTEL Corporation
发明人： CHATTOPADHYAY, Rita , HAGHIGHIPANAH, Mohammad
IPC分类号： G01S17/86 , G01S17/89 , G06F18/25
CPC分类号： G01S17/86 , G01S17/89
摘要： A method for motion tracking is provided including receive first data, receive second data, transform the second data to generate transformed second data corresponding to the first frame; determine a first weighting factor for the first data and a second weighting factor for the transformed second data; weight the first data using the first weighting factor to generate first weighted data; weight the transformed second data using the second weighting factor to generate second weighted data; and combine the weighted first data and the weighted second data to generate combined image data. The first data include a first frame of a first scene of an environment detected by a camera or image sensor. The second data include a second frame of a second scene of an environment detected by a light detection and ranging (LIDAR) sensor. At least a subset of the second scene corresponds to the first scene.

8. 发明申请

WO2023044661A1 LEARNING RELIABLE KEYPOINTS IN SITU WITH INTROSPECTIVE SELF-SUPERVISION 审中-公开
公开(公告)号：WO2023044661A1
公开(公告)日：2023-03-30
申请号：PCT/CN2021/119869
申请日：2021-09-23
申请人： INTEL CORPORATION , SHI, Xuesong , MANEPALLI, Sangeeta , CHATTOPADHYAY, Rita , WANG, Peng , ZHANG, Yimin
发明人： SHI, Xuesong , MANEPALLI, Sangeeta , CHATTOPADHYAY, Rita , WANG, Peng , ZHANG, Yimin
IPC分类号： G06K9/62
摘要： An apparatus to facilitate learning reliable keypoints in situ with introspective self-supervision is disclosed. The apparatus includes one or more processors to provide a view-overlapped keyframe pair from a pose graph that is generated by a visual simultaneous localization and mapping (VSLAM) process executed by the one or more processors; determine a keypoint match from the view-overlapped keyframe pair based on a keypoint detection and matching process, the keypoint match corresponding to a keypoint; calculate an inverse reliability score based on matched pixels corresponding to the keypoint match in the view-overlapped keyframe pair; identify a supervision signal associated with the keypoint match, the supervision signal comprising a keypoint reliability score of the keypoint based on a final pose output of the VSLAM process; and train a keypoint detection neural network using the keypoint match, the inverse reliability score, and the keypoint reliability score.

9. 发明申请

WO2021236529A1 METHODS AND APPARATUS TO TRAIN A MODEL USING ATTESTATION DATA 审中-公开
公开(公告)号：WO2021236529A1
公开(公告)日：2021-11-25
申请号：PCT/US2021/032784
申请日：2021-05-17
申请人： INTEL CORPORATION
发明人： SMITH, Ned M. , CHATTOPADHYAY, Rita
IPC分类号： G06N20/00 , G06N5/02 , H04L29/08
摘要： Methods, apparatus, systems and articles of manufacture to train a model using attestation data are disclosed. An example apparatus includes memory, instructions, and at least one processor to execute machine readable instructions to at least access training data originating from an edge device, the training data including telemetry information and attestation information, determine a weighting value to be used for the telemetry information based on the attestation information associated with the edge device, and train a machine learning model based on the telemetry information and the weighting value.

10. 发明申请

WO2020139478A1 TECHNOLOGIES FOR FUSING DATA FROM MULTIPLE SENSORS TO IMPROVE OBJECT DETECTION, IDENTIFICATION, AND LOCALIZATION 审中-公开
公开(公告)号：WO2020139478A1
公开(公告)日：2020-07-02
申请号：PCT/US2019/061955
申请日：2019-11-18
申请人： INTEL CORPORATION
发明人： KAVULYA, Soila , CHATTOPADHYAY, Rita , MARTINEZ-CANALES, Monica, Lucia
IPC分类号： G06T7/73
摘要： Technologies for performing sensor fusion include a compute device. The compute device includes circuitry configured to obtain detection data indicative of objects detected by each of multiple sensors of a host system. The detection data includes camera detection data indicative of a two or three dimensional image of detected objects and lidar detection data indicative of depths of detected objects. The circuitry is also configured to merge the detection data from the multiple sensors to define final bounding shapes for the objects.

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