Emotion heat mapping
    3.
    发明授权

    公开(公告)号:US10558862B2

    公开(公告)日:2020-02-11

    申请号:US15870812

    申请日:2018-01-12

    Abstract: Localization data is accessed, which is based on information collected by one or more sensor devices deployed within an environment. The localization data identifies presence of a person within a particular location within the environment. A feature vector is access, which includes values to describe a plurality of different physical characteristics of the person as measured by a set of one or more sensor devices deployed within the environment when the person was present within the particular location. An emotion of the person is determined from the feature vector data, and the emotion is associated with the particular location within the environment. An emotion heat map is generated of the environment to map emotional responses determined within the environment to specific locations within the environment.

    Monitoring health of electrical equipment

    公开(公告)号:US10256761B2

    公开(公告)日:2019-04-09

    申请号:US15253041

    申请日:2016-08-31

    Abstract: Techniques for monitoring the health of a device comprising a motor or generator are described. An apparatus to monitor the health of the device includes a plurality of sensors to detect root-mean-square (RMS) current values for a plurality of stator windings of the device. The apparatus also includes a processor to receive the RMS current values from the plurality of sensors and compute a fault indicator based on the RMS current values. The fault indicator represents a level of current imbalance between the plurality of stator windings due to winding faults.

    REAL-TIME QUALITATIVE ANALYSIS
    5.
    发明申请

    公开(公告)号:US20190043064A1

    公开(公告)日:2019-02-07

    申请号:US15939557

    申请日:2018-03-29

    Abstract: Monitoring and analyzing people interacting with an environment, e.g., looking around, touching, talking, exclaiming, moving items around, staring at something, walking, as well as producing identifiable physiological and/or movement that may be analyzed to determine a person's interest and/or emotional response to the environment. In a shopping context, analysis may determine customer interest in a specific product. Interest/emotional response may be translated into a quantified review and the reviews may be pushed peer-to-peer to others in the environment, used to update signage, propagated to social media, etc. Reviews may be determined in real time and if related to an unusual or negative review, may trigger one or more various responses, e.g., automatic assistance to clear up a problem, perform other error handling, notify a vendor of a problem, trigger an update such as to lower prices, etc.

    Autonomous mobile robot scaling
    6.
    发明授权

    公开(公告)号:US12284576B2

    公开(公告)日:2025-04-22

    申请号:US17366099

    申请日:2021-07-02

    Abstract: 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.

    SELF-LEARNING FOR AUTOMATED PLANOGRAM COMPLIANCE

    公开(公告)号:US20190102686A1

    公开(公告)日:2019-04-04

    申请号:US15721283

    申请日:2017-09-29

    Abstract: A system includes a self-learning module for creating a self-learned planogram based on images of shelving units at a location and shelving unit tracking. The self-learned planogram includes shelving unit locations for the shelving units. The system also includes a training module for training the merchandise tracking model based on merchandise-shelving unit clustering. The merchandise-shelving unit clustering is based on the self-learned planogram and sensor readings received from sensors at the location. The sensor readings are associated with items at the location. The system further includes a tracking module for tracking and storing locations of the items based on the sensor readings and the merchandise tracking model. The system also includes a planogram compliance module for determining planogram compliance based on comparing the self-learned planogram to the item locations. The system identities actionable insights based on the planogram compliance and additionally includes a display device to present the actionable insights.

    MONITORING HEALTH OF ELECTRICAL EQUIPMENT
    8.
    发明申请

    公开(公告)号:US20180062553A1

    公开(公告)日:2018-03-01

    申请号:US15253041

    申请日:2016-08-31

    CPC classification number: H02P23/14 H02P29/024

    Abstract: Techniques for monitoring the health of a device comprising a motor or generator are described. An apparatus to monitor the health of the device includes a plurality of sensors to detect root-mean-square (RMS) current values for a plurality of stator windings of the device. The apparatus also includes a processor to receive the RMS current values from the plurality of sensors and compute a fault indicator based on the RMS current values. The fault indicator represents a level of current imbalance between the plurality of stator windings due to winding faults.

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