Patents Assigned to SENSLYTICS CORPORATION
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Patent number: 12254017Abstract: A real-time technique for identifying truth-telling data in a data stream includes determining, based on a situational map of the data stream, an expected range of values for incoming data points associated with a trend in the data stream. The technique further includes receiving, in the incoming data points, a data point that is outside the expected range of values. The data point that is outside the expected range of values is stored for an analysis of the trend after receiving more of the incoming data points. The analysis of the trend is executed using the data point that is outside the expected range of values for the analysis to indicate whether the trend in the data stream has changed.Type: GrantFiled: April 25, 2023Date of Patent: March 18, 2025Assignee: SENSLYTICS CORPORATIONInventor: Rabindra Chakraborty
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Patent number: 11849677Abstract: Methods and systems for performing pest infestation forewarning are described. In one embodiment, intuition based forewarning method includes collecting and storing core data and surroundings data, wherein the core data includes parameters describing a system and ring data includes parameters describing surroundings of grain storage container-based (e.g., silo-based) environments. The collected core data and ring data are analyzed to determine one or more changing situations of the storage container-based (e.g., silo-based) environments. A system forewarning is generated based on the changing situations that are observed.Type: GrantFiled: October 8, 2020Date of Patent: December 26, 2023Assignee: SENSLYTICS CORPORATIONInventors: Rabindra Chakraborty, Anupam Awasthi, Amol Awasthi, Jay Kalra
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Patent number: 11226856Abstract: Methods and systems correlating hypotheses outcomes using relevance scoring for intuition based forewarning are disclosed. For one example, an intuition based forewarning method includes collecting and storing core data and surroundings data, wherein the core data includes parameters describing a system and ring data includes parameters describing surroundings of the system. The collected core data and ring data are analyzed to determine one or more changing situations of the system. A relevance score is provided for each determined changing situation of the system based on the analyzed core data and ring data. Each determined situation is correlated with one or more hypotheses outcomes representing a future system state based on the relevance score. A system forewarning is generated based on the correlated hypotheses outcomes which can be observed by one or more users.Type: GrantFiled: October 16, 2018Date of Patent: January 18, 2022Assignee: SENSLYTICS CORPORATIONInventors: Rabindra Chakraborty, Jay Kalra, Anupam Awasthi, Amol Awasthi
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Patent number: 10816292Abstract: In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for implementing video shooting guns and personal safety management applications.Type: GrantFiled: September 5, 2019Date of Patent: October 27, 2020Assignee: SENSLYTICS CORPORATIONInventors: Rabindra Chakraborty, Jay Kalra, Anupam Awasthi, Amol Awasthi
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Patent number: 10443966Abstract: In accordance with disclosed embodiments, there are provided systems, methods, and apparatuses for implementing video shooting guns and personal safety management applications.Type: GrantFiled: May 20, 2016Date of Patent: October 15, 2019Assignee: SENSLYTICS CORPORATIONInventors: Rabindra Chakraborty, Jay Kalra, Anupam Awasthi, Amol Awasthi
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Patent number: 10445162Abstract: An apparatus and a method are disclosed herein for improving predictive and preventive analytics, event tracking and processing of large combinations of data. In one embodiment, a method comprising, receiving a first data set, the first data set including data from a plurality of sources; applying a first rule set to the first subset; responsive to detecting an emergency as a result of the application of the first rule set, generating an emergency notification; generating an intuition by (a) applying a second rule set to a second subset of the first data set, the second rule set selected from one or more rule sets based on the emergency notification, and (b) selecting a course of action based on a result of the application of the second predefined rule set; and providing the course of action to a user is disclosed.Type: GrantFiled: September 7, 2018Date of Patent: October 15, 2019Assignee: SENSLYTICS CORPORATIONInventors: Rabindra Chakraborty, Jay Kalra, Anupam Awasthi, Amol Awasthi
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Patent number: 10073724Abstract: An apparatus and a method are disclosed herein for improving predictive and preventive analytics, event tracking and processing of large combinations of data. In one embodiment, a method comprising, receiving a first data set, the first data set including data from a plurality of sources; applying a first rule set to the first subset; responsive to detecting an emergency as a result of the application of the first rule set, generating an emergency notification; generating an intuition by (a) applying a second rule set to a second subset of the first data set, the second rule set selected from one or more rule sets based on the emergency notification, and (b) selecting a course of action based on a result of the application of the second predefined rule set; and providing the course of action to a user is disclosed.Type: GrantFiled: June 10, 2015Date of Patent: September 11, 2018Assignee: SENSLYTICS CORPORATIONInventors: Rabindra Chakraborty, Jay Kalra, Anupam Awasthi, Amol Awasthi
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Patent number: 10061833Abstract: Systems are disclosed herein for improving analytic processing and processing for handling severe outliers in a dataset that cause predictive analytic processing to fail. In one embodiment, the system comprises one or more processors, a memory communicatively coupled to the one or more processors and to store logic, the logic, upon being executed by the one or more processors, transmits instructions to filter data for only a specified one or more variables, receives a first set of specified variables corresponding to a first external database, upon receiving the first set of specified variables, accessing a second set of specified variables corresponding to a second external database, accessing a third set of specified variables corresponding to a third external database, and performing predictive analytic processing using the first set of specified variables, the second set of specified variables and the third set of specified variables to generate a first insight.Type: GrantFiled: September 25, 2014Date of Patent: August 28, 2018Assignee: SENSLYTICS CORPORATIONInventors: Rabindra Chakraborty, Jay Kalra, Anupam Awasthi, Amol Awasthi