Abstract: Methods and systems for determining at least one candidate user for a license plate number (LPN) are described herein. A set of license plate recognition (LPR) events that correspond to the LPN and a set of access events of a plurality of users may be obtained. One or more associated events for each respective user of the plurality of users may be determined. A confidence score for each respective user may be determined based on the one or more associated events for the respective user. At least one candidate user for the LPN may be identified based on the confidence score. An indication that the at least one candidate user is a candidate for the LPN is output. Methods and systems for determining at least one candidate license plate number for a user are also described herein. Additional related methods and systems are described herein.

Abstract: A computer-implemented method, comprising: obtaining motion indicators for a plurality of samples of a video stream; obtaining an anomaly state for each of a plurality of time windows of the video stream, each of the time windows spanning a subset of the samples, by (i) obtaining estimated statistical parameters for the given time window based on measured statistical parameters characterizing the motion indicators for the samples in at least one time window of the video stream that precedes the given time window and (ii) determining the anomaly state for the given time window based on the plurality of motion indicators obtained for the samples in the given time window and the estimated statistical parameters; and processing the video stream based on the anomaly state for various ones of the time windows.

Abstract: A computer-implemented method, comprising: obtaining motion indicators for a plurality of samples of a video stream; obtaining an anomaly state for each of a plurality of time windows of the video stream, each of the time windows spanning a subset of the samples, by (i) obtaining estimated statistical parameters for the given time window based on measured statistical parameters characterizing the motion indicators for the samples in at least one time window of the video stream that precedes the given time window and (ii) determining the anomaly state for the given time window based on the plurality of motion indicators obtained for the samples in the given time window and the estimated statistical parameters; and processing the video stream based on the anomaly state for various ones of the time windows.

Abstract: A system to automate the filling of electronic vape cartridges with viscous liquid. The system includes an enclosure sealed with removable panels for maintenance access, compartments to interface cartridges and liquids with the internal mechanisms, and an external human machine interface. The internal mechanisms utilize thermally insulative annular nozzles and a thermal control system to diminish the internal friction of the liquid to facilitate consistent transfer of liquid between a reservoir, heated by a heated bed, syringe assembly, comprising a heating element along a raceway, and empty cartridges inserted into the system. This system is capable of filling approximately 100 cartridges per minute, and may interface with cartridges of various configurations and formulations of varying composition and characteristics.

Abstract: Methods and systems for determining at least one candidate user for a license plate number (LPN) are described herein. A set of license plate recognition (LPR) events that correspond to the LPN and a set of access events of a plurality of users may be obtained. One or more associated events for each respective user of the plurality of users may be determined. A confidence score for each respective user may be determined based on the one or more associated events for the respective user. At least one candidate user for the LPN may be identified based on the confidence score. An indication that the at least one candidate user is a candidate for the LPN is output. Methods and systems for determining at least one candidate license plate number for a user are also described herein. Additional related methods and systems are described herein.

Abstract: Methods and systems for determining at least one candidate user for a license plate number (LPN) are described herein. A set of license plate recognition (LPR) events that correspond to the LPN and a set of access events of a plurality of users may be obtained. One or more associated events for each respective user of the plurality of users may be determined. A confidence score for each respective user may be determined based on the one or more associated events for the respective user. At least one candidate user for the LPN may be identified based on the confidence score. An indication that the at least one candidate user is a candidate for the LPN is output. Methods and systems for determining at least one candidate license plate number for a user are also described herein. Additional related methods and systems are described herein.

Abstract: A method, and corresponding system and computer program product, is provided for identifying meaningful information in connection with an investigation. The method comprises processing a dataset using a machine learning process to derive an initial model conveying first statistical significance information corresponding to features in the dataset. The method also comprises deriving an alternate model at least in part by processing the dataset using the machine learning process while nullifying a contribution of certain features in the dataset selected as candidates for nullification. The alternate model conveys second statistical significance information corresponding to features in the dataset. A user interface is rendered on the display and presents information for assisting the user in identifying the information in the dataset meaningful to the investigation, the information presented being derived at least in part by processing information conveyed by the initial model and the alternate model.

Abstract: Systems and methods for monitoring event through the use of occurrence records in order to take one or more actions are described herein. An occurrence record is received and processed. The occurrence record includes one or more parameters and are indicative of an event of a given type. The received occurrence record is compared to one or more trigger-based rules. When a trigger condition of a trigger-based rule is met, the trigger-based rule is executed. When one or more other conditions of the executed trigger-based rule is met, a command for an action is generated.

Abstract: A system to automate the filling of electronic vape cartridges with viscous liquid. The system includes an enclosure sealed with removable panels for maintenance access, compartments to interface cartridges and liquids with the internal mechanisms, and an external human machine interface. The internal mechanisms utilize thermally insulative annular nozzles and a thermal control system to diminish the internal friction of the liquid to facilitate consistent transfer of liquid between a reservoir, heated by a heated bed, syringe assembly, comprising a heating element along a raceway, and empty cartridges inserted into the system. This system is capable of filling approximately 100 cartridges per minute, and may interface with cartridges of various configurations and formulations of varying composition and characteristics.

Abstract: A computer-implemented method, comprising: obtaining motion indicators for a plurality of samples of a video stream; obtaining an anomaly state for each of a plurality of time windows of the video stream, each of the time windows spanning a subset of the samples, by (i) obtaining estimated statistical parameters for the given time window based on measured statistical parameters characterizing the motion indicators for the samples in at least one time window of the video stream that precedes the given time window and (ii) determining the anomaly state for the given time window based on the plurality of motion indicators obtained for the samples in the given time window and the estimated statistical parameters; and processing the video stream based on the anomaly state for various ones of the time windows.

Abstract: A system to automate the separation of agricultural products. The system includes an enclosure, sealed with permeable mesh to permit airflow and walled with non-porous material to prevent agricultural material from escaping the enclosure while allowing for flow to pass freely. This system is capable of separating material without mechanical interaction, such as with grippers or end effectors, and relies on air flow through the enclosure to create separation between the desired and undesired material using ballistic coefficient as a fundamental differentiator between constituent material of the agricultural products. This is accomplished with a variable speed fan which blows air through the enclosure, lifting and separating material based on the ballistic coefficient of that material and the flow settings. Dividers are used to separate and capture the products for retrieval at the conclusion of operation.

Abstract: Methods and systems for determining at least one candidate user for a license plate number (LPN) are described herein. A set of license plate recognition (LPR) events that correspond to the LPN and a set of access events of a plurality of users may be obtained. One or more associated events for each respective user of the plurality of users may be determined. A confidence score for each respective user may be determined based on the one or more associated events for the respective user. At least one candidate user for the LPN may be identified based on the confidence score. An indication that the at least one candidate user is a candidate for the LPN is output. Methods and systems for determining at least one candidate license plate number for a user are also described herein. Additional related methods and systems are described herein.

Abstract: A computer-implemented method, comprising: obtaining motion indicators for a plurality of samples of a video stream; obtaining an anomaly state for each of a plurality of time windows of the video stream, each of the time windows spanning a subset of the samples, by (i) obtaining estimated statistical parameters for the given time window based on measured statistical parameters characterizing the motion indicators for the samples in at least one time window of the video stream that precedes the given time window and (ii) determining the anomaly state for the given time window based on the plurality of motion indicators obtained for the samples in the given time window and the estimated statistical parameters; and processing the video stream based on the anomaly state for various ones of the time windows.

Abstract: An area monitoring system and a method of merging occurrence records in an area monitoring system whereby occurrences are monitored or recorded in external databases. The method includes receiving a first occurrence record, indicative of an event; on the basis of the applicable correlation rule, identifying a set of databases to be queried; generating a query for data according to a respective protocol; generating a correlated dataset of occurrence records from at least a subset of the set of occurrence records and the first occurrence record; and displaying to a user a visual representation of the correlated dataset of occurrence records.

Abstract: A system to automate the separation of agricultural products. The system includes an enclosure, sealed with permeable mesh to permit airflow and walled with non-porous material to prevent agricultural material from escaping the enclosure while allowing for flow to pass freely. This system is capable of separating material without mechanical interaction, such as with grippers or end effectors, and relies on air flow through the enclosure to create separation between the desired and undesired material using ballistic coefficient as a fundamental differentiator between constituent material of the agricultural products. This is accomplished with a variable speed fan which blows air through the enclosure, lifting and separating material based on the ballistic coefficient of that material and the flow settings. Dividers are used to separate and capture the products for retrieval at the conclusion of operation.

Abstract: A system for robotic sorting includes a bin system comprising a plurality of bins for holding items to be sorted, where each bin is configured to hold more than one of the items. The system further includes an item handling system configured to travel to each of the plurality of bins. The item handling system utilizes a vacuum force to remove an item held in one of the plurality of bins. The item handling system further utilizes one or more curvature generation devices to enable card manipulation. Additionally, the system includes a drive system coupled to the item handling system. The drive system is configured to move and position the item handling system over each of the plurality of bins. The system also includes a control system coupled to the drive system and the item handling system. The control system controls movement of the item handling system and the drive system.

Abstract: A computer-implemented method, comprising: obtaining motion indicators for a plurality of samples of a video stream; obtaining an anomaly state for each of a plurality of time windows of the video stream, each of the time windows spanning a subset of the samples, by (i) obtaining estimated statistical parameters for the given time window based on measured statistical parameters characterizing the motion indicators for the samples in at least one time window of the video stream that precedes the given time window and (ii) determining the anomaly state for the given time window based on the plurality of motion indicators obtained for the samples in the given time window and the estimated statistical parameters; and processing the video stream based on the anomaly state for various ones of the time windows.

Abstract: A system for robotic sorting includes a bin system comprising a plurality of bins for holding items to be sorted, where each bin is configured to hold more than one of the items. The system further includes an item handling system configured to travel to each of the plurality of bins. The item handling system utilizes a vacuum force to remove an item held in one of the plurality of bins. The item handling system further utilizes one or more curvature generation devices to enable card manipulation. Additionally, the system includes a drive system coupled to the item handling system. The drive system is configured to move and position the item handling system over each of the plurality of bins. The system also includes a control system coupled to the drive system and the item handling system. The control system controls movement of the item handling system and the drive system.

Abstract: An area monitoring system and a method of merging occurrence records in an area monitoring system whereby occurrences are monitored or recorded in external databases. The method includes receiving a first occurrence record, indicative of an event; on the basis of the applicable correlation rule, identifying a set of databases to be queried; generating a query for data according to a respective protocol; generating a correlated dataset of occurrence records from at least a subset of the set of occurrence records and the first occurrence record; and displaying to a user a visual representation of said correlated dataset of occurrence records.

Abstract: A system for robotic sorting includes a bin system comprising a plurality of bins for holding items to be sorted, where each bin is configured to hold more than one of the items. The system further includes an item handling system configured to travel to each of the plurality of bins. The item handling system utilizes a vacuum force to remove an item held in one of the plurality of bins. The item handling system further utilizes one or more curvature generation devices to enable card manipulation. Additionally, the system includes a drive system coupled to the item handling system. The drive system is configured to move and position the item handling system over each of the plurality of bins. The system also includes a control system coupled to the drive system and the item handling system. The control system controls movement of the item handling system and the drive system.