Genetec Inc.

Other

Sean Lawlor

Jean-David Trépanier

François Séguin

François Seguin

Francois Seguin

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.

Methods and systems for detection of anomalous motion in a video stream and for creating a video summary

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.

Method and system for associating a license plate number with a user

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.

Occurrence-record driven monitoring system and method of use thereof

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.

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Dollard-des-Ormeaux, Canada

Sean Lawlor