Unobtrusive and automated detection of frequency of vibrating objects using multiple strobe sources

    公开(公告)号:US11105675B2

    公开(公告)日:2021-08-31

    申请号:US16750122

    申请日:2020-01-23

    Abstract: This disclosure relates to monitoring of machines having one or more vibrating objects. Conventional systems that address the technical problem of detecting frequency of vibrating objects are expensive, require manual intervention, sometimes depend on prior knowledge of location of faults or involve high convergence time. Systems and methods of the present disclosure provide a cost-effective and fully automated solution that employ multiple strobe sources along with a low cost camera. Besides being cost-effective and automated, the solution also reduces convergence time significantly. Employing multiple strobe sources enables generating multiple strobing frequencies in a single iteration. The strobing frequency is a configured to be a multiple of a camera frame rate selected from a set of camera frame rates having mutually prime elements to ensure faster convergence compared to the art.

    Method and system for activity recognition and behaviour analysis

    公开(公告)号:US10664671B2

    公开(公告)日:2020-05-26

    申请号:US16434597

    申请日:2019-06-07

    Abstract: Energy remains a critical challenge for continuous sensing: with low-capacity batteries, wearable devices require frequent charging. In contrast, installing sensors in everyday ‘smart objects’, such as kitchen cabinets, household appliances and office equipment, supports ADL detection via indirect observations on human interaction with such objects, but cannot provide individual-specific insights in multi-tenanted environments. The embodiments herein provide a method and system for energy efficient activity recognition and behavior analysis. Architecture disclosed utilizes a hybrid mode of inexpensive, battery-free sensing of physical activities performed by a subject been monitored during his Activities for Daily Living (ADLs). The sensing combines object interaction sensing with person-specific wearable sensing to recognize individual activities in smart spaces. The method and system disclosed quantifies a probabilistic approach that uses longitudinal observations of user-item interactions, over each individual episode, to compute the anomalous behavior of the subject.

    UNOBSTRUSIVE AND AUTOMATED DETECTION OF FREQUENCY OF VIBRATING OBJECTS USING MULTIPLE STROBE SOURCES

    公开(公告)号:US20200240833A1

    公开(公告)日:2020-07-30

    申请号:US16750122

    申请日:2020-01-23

    Abstract: This disclosure relates to monitoring of machines having one or more vibrating objects. Conventional systems that address the technical problem of detecting frequency of vibrating objects are expensive, require manual intervention, sometimes depend on prior knowledge of location of faults or involve high convergence time. Systems and methods of the present disclosure provide a cost-effective and fully automated solution that employ multiple strobe sources along with a low cost camera. Besides being cost-effective and automated, the solution also reduces convergence time significantly. Employing multiple strobe sources enables generating multiple strobing frequencies in a single iteration. The strobing frequency is a configured to be a multiple of a camera frame rate selected from a set of camera frame rates having mutually prime elements to ensure faster convergence compared to the art.

    SYSTEMS AND METHODS FOR ESTIMATING ERRORS IN GYROSCOPE SENSORS

    公开(公告)号:US20190056426A1

    公开(公告)日:2019-02-21

    申请号:US15935731

    申请日:2018-03-26

    CPC classification number: G01P21/00 G01C19/00 G01C19/5776 G01C25/005 G01P3/44

    Abstract: Embodiments of the present disclosure provide systems and methods that establish non-linear components of gyroscope errors which have not been studied or explored earlier. These errors include but are not limited to non-linear dynamic error which is a function of the angular velocity itself. Bias instability has been observed within the same environment of temperature and atmospheric pressure. In other words, the embodiments of the present disclosure analyse and models static bias errors and dynamic non-linear errors in the gyroscope sensor which may be used to model and correct errors accordingly In subsequent measurements. The system provide solution(s) when there is no way of directly estimating temperature for bias correction of gyroscope, by estimating a temperature change by considering indirect measurements from other sensors present onboard the device.

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