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21.发明授权System and method for detecting anomaly associated with driving of a vehicle 有权用于检测与车辆驾驶有关的异常的系统和方法公开(公告)号：US09165325B2
公开(公告)日：2015-10-20
申请号：US14327211
申请日：2014-07-09
Applicant: Tata Consultancy Services Limited
Inventor： Tapas Chakravarty , Avik Ghose , Arijit Chowdhury , Chirabrata Bhaumik , Balamuralidhar Purushothaman
CPC classification number: G06Q40/08 , B60W40/09 , G05B23/0232 , G07C5/008 , G07C5/085
Abstract: Disclosed are a device, system and methods for detecting an anomaly associated with driving of a vehicle. Z-axis acceleration data is determined at the device. Based on the Z-axis acceleration data, jerk energies are computed and transmitted to the system for analysis. Further, the jerk energies are received for a plurality of trips at the system. Further, at the system, statistical analysis is performed on the jerk energies for determining a hazard rate for each trip of the plurality of trips. Then based on the hazard rate determined for each of the plurality of trips, a trend analysis is performed. Based on the trend analysis, any anomaly associated with the driving of the vehicle is detected. Further, the anomaly detected may be notified to a person associated with the device or with a monitoring terminal.
Abstract translation: 公开了一种用于检测与车辆驾驶有关的异常的装置，系统和方法。 在设备上确定Z轴加速度数据。 基于Z轴加速度数据，计算冲击能量并将其传输到系统进行分析。 此外，在系统处接收多次跳闸的冲击能量。 此外，在该系统中，对用于确定多次旅行中的每个行程的危险率的冲击能量进行统计分析。 然后，基于为多个行程中的每一个确定的危险率，进行趋势分析。 根据趋势分析，检测到与车辆行驶有关的任何异常情况。 此外，检测到的异常可以被通知给与设备相关联的人或与监视终端。
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公开(公告)号：US12164017B2
公开(公告)日：2024-12-10
申请号：US17453103
申请日：2021-11-01
Applicant: Tata Consultancy Services Limited
Inventor： Arindam Ray , Taniya Das , Arijit Chowdhury , Soumya Chakravarty , Smriti Rani , Anwesha Khasnobish , Tapas Chakravarty , Arpan Pal
Abstract: An e-commerce business model has witnessed several cases where packages with faulty goods, returned by buyers, without procured object, rather replaced by different device. This disclosure relates a method to detect whether object under test a desired object. A plurality of back-scattered signals is received from the object under test occluded by packaging with continuous motion on conveyer based on first antenna-radar combination. The plurality of back-scattered signals is processed by applying four-tap difference filter to obtain motion-filtered data matrix. A low pass filter is applied on the motion-filtered data matrix to obtain enveloped motion-filtered data matrix. A sliding constant false alarm rate is applied on the enveloped motion-filtered data matrix to determine detection threshold value. A check is performed to detect whether the object under test is the desired object based on whether intensity of the plurality back-scattered signals exceeds the detection threshold value.
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公开(公告)号：US11906658B2
公开(公告)日：2024-02-20
申请号：US17037335
申请日：2020-09-29
Applicant: Tata Consultancy Services Limited
Inventor： Arijit Chowdhury , Smriti Rani , Tapas Chakravarty , Arpan Pal
Abstract: This disclosure relates to systems and methods for shapelet decomposition based recognition using radar. State-of-the-art solutions involve use of standard machine learning classification techniques for gesture recognition which suffer with problem of dependency on collected data. The present disclosure overcome the limitations faced by the state-of-the-art solutions by obtaining a plurality of time domain signal using a radar system comprising three vertically arranged radars and one or more sensors, identifying one or more gesture windows to obtain one or more shapelets corresponding to one or gestures which are further decomposed into a plurality of sub shapelets. Further, at least one of (i) a positive or (i) a negative time delay is applied to each of the plurality of sub shapelets to obtain a plurality of composite shapelets which are further mapped with a plurality of trained shapelets to recognize gestures comprised in one or more activities performed by a subject.
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公开(公告)号：US11842800B2
公开(公告)日：2023-12-12
申请号：US16923877
申请日：2020-07-08
Applicant: Tata Consultancy Services Limited
Inventor： Rajat Kumar Das , Arijit Sinharay , Arijit Chowdhury , Tapas Chakravarty , Arpan Pal
Abstract: Temperature measurement is an important part of many potential applications in process industry. Conventional temperature measurement methods require manual intervention for process monitoring and fail to provide accurate and precise measurement of temperature of an enclosed mixed fluid chamber. The present disclosure provides artificial intelligence based temperature measurement in mixed fluid chamber. A plurality of inputs pertaining to the mixed fluid chamber are received to build a fluid based model. The fluid based model is used to generate one or more fluid parameters. The one or more fluid parameters are used along with a ground truth temperature data and the received plurality of inputs for training an artificial intelligence (AI) based model. However, the AI based model is trained with and without knowledge of fluid flow. The trained AI based model is further used to accurately estimate temperature of the mixed fluid chamber for a plurality of test input data.
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公开(公告)号：US11771353B2
公开(公告)日：2023-10-03
申请号：US16934553
申请日：2020-07-21
Applicant: Tata Consultancy Services Limited
Inventor： Anwesha Khasnobish , Arijit Chowdhury , Tanushree Banerjee , Debatri Chatterjee
CPC classification number: A61B5/165 , A61B5/08 , A61B5/7225 , A61B5/7267 , A61B5/746 , G16H50/30
Abstract: Recognizing mental states from physiological signal is a concern not only for medical diagnostics, but also for cognitive science, behavioral studies as well as brain machine interfaces. Embodiments of the present disclosure utilize respiration signals to decipher mental states wherein non-linear baseline drifts in signal is implemented to extract the respiratory features in most effective way. Presence of class imbalance, is effectively rectified using Synthetic Minority Oversampling Technique (SMOTE) to resolve class imbalance problem, which not only increased the classification accuracy, but also reduced classifier bias towards the majority class, which in turn exceedingly enhanced the classifier sensitivity.
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Patent Agency Ranking
公开(公告)号：US11619509B2
公开(公告)日：2023-04-04
申请号：US17029199
申请日：2020-09-23
Applicant: Tata Consultancy Services Limited
Inventor： Varsha Sharma , Arijit Chowdhury
Abstract: Reckless behavior of drivers like, speeding, sudden acceleration and swerving through lanes can cause fatality and financial loss. Conventional methods mainly focus on driving style classification. The conventional methods mainly focus on driver classification and are not able to provide trip classification of a driver. Hence there is a challenge in trip classification of the driver based on acceleration data. The present disclosure for trip classification addresses the problem of end to end trip classification based on the acceleration data. Here, a journey is segmented into a plurality of sub-journey segments and each sub-journey segment is associated with a plurality of driving events. An event score is calculated for each sub-journey and a normalization is performed on the event score. Further, the journey is classified into at least one of good, average or bad based on the normalized data by utilizing a fuzzy based classification.
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公开(公告)号：US11353574B2
公开(公告)日：2022-06-07
申请号：US16775592
申请日：2020-01-29
Applicant: Tata Consultancy Services Limited
Inventor： Rajat Kumar Das , Arijit Chowdhury , Tapas Chakravarty , Arpan Pal
Abstract: This disclosure relates generally to tracking motion of target in indoor environment. The method includes estimating an initial position of the target in a mesh grid form based on radar data captured from radar devices installed in the indoor environment. For a subsequent target movement, a subsequent position of the target is estimated in the mesh grid form based on the initial position and a resultant velocity vector of the target. A number of outlier grid-points is computed with a threshold number, and based on comparison the outlier grid-points are either replaced with interpolated grid-points or the subsequent position of the target is repaired based on a probable position of the target obtained from at least one of a linear regression based analysis of prior positions of the target, prior knowledge of the target velocity and sampling interval, and a trilateration based technique.
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公开(公告)号：US11036303B2
公开(公告)日：2021-06-15
申请号：US16825140
申请日：2020-03-20
Applicant: Tata Consultancy Services Limited
Inventor： Smriti Rani , Andrew Gigie , Arijit Chowdhury , Tapas Chakravarty
Abstract: This disclosure relates generally to radar based human activity detection, and, more particularly to, systems and methods from radar based human activity detection and three-dimensional (3D) reconstruction of human gestures using configurable panel radar system. Traditional systems and methods may not provide for a separate capturing of top and bottom parts of the human body. Embodiment of the present disclosure overcome the limitations faced by the traditional systems and methods by identifying a user that performed a gesture; detecting each gesture performed by the identified user; generating, by simulating a set of gesture labels, a sensor data and the generated metadata, a two-dimensional (2D) reference database of different speeds of the detected gestures; computing a displacement and a time of the detected gestures via a pattern matching technique; and reconstructing a video of the identified user performing the detected gestures in 3D.
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公开(公告)号：US20180373855A1
公开(公告)日：2018-12-27
申请号：US15913515
申请日：2018-03-06
Applicant: Tata Consultancy Services Limited
Inventor： Arijit Chowdhury , Avik Ghose , Tapas Chakravarty
CPC classification number: G06F21/316 , B60W40/09 , B60W40/10 , G06F16/24578 , G07C5/08
Abstract: Currently automobiles use embedded sensors and computational powers for performance optimization. For better performance and maintenance knowing driver and driving style is important. It is known that driver identification can be achieved using dedicated sensors. Since these are external sensors they add to cost and also deployment of many sensors increases operational and maintenance overhead. Embodiments of the present disclosure obtain GPS data including trip information pertaining to a vehicle being driven by a driver and features are extracted from trip information which are ranked by comparing these features with features associated with trip information of other drivers to selectively identify and obtain ranked features. Value of each ranked feature is compared with value of corresponding feature pertaining to driving patterns and an abnormality score for each relevant feature is generated and the driver is authenticated based on the abnormality score.
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公开(公告)号：US09665995B2
公开(公告)日：2017-05-30
申请号：US14662338
申请日：2015-03-19
Applicant: Tata Consultancy Services Limited
Inventor： Arijit Chowdhury , Tapas Chakravarty , Balamuralidhar Purushothaman
CPC classification number: G07C5/08 , B60R2021/0027 , B60R2021/01325 , G01M17/00 , G01S19/13 , G07C5/008 , G07C5/085 , G08G1/0112 , G08G1/0133 , H04N9/47
Abstract: A method and system for crash analysis of one or more vehicles involved in a crash is disclosed. The method may comprise capturing data samples such as a plurality of GPS samples and a plurality of acceleration samples. The method may further comprise generating a trajectory. Moreover, the method may comprise segmenting the trajectory into a macro level segment and further into a micro level segment. The method may further comprise computing at least one macro level score based on the plurality of acceleration samples and the GPS samples. Based on the at least one macro level score, the method may be configured to compute a crash responsibility score for ascertaining crash responsibility.
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