Verkada Inc.

Rishabh Goyal

Song Cao

Yunchao Gong

Yi Xu

Hao Nan

Thantham Madan

Yingjie Shen

John Peruzzi

Alan M Anderson

Pushpak Pujari

Erich J Kreutzer

David Mwaura

Filip Kaliszan

Bhavna Sud

Michele Casertano

Shiqi Wang

Anders Brekke Holden

Nitish Poddar

A trajectory-based object search process includes receiving a user request specifying a geographic region of interest and/or a time period of interest. A set of video-derived object trajectories is identified based on the user request. At least one event is identified based on the set of video-derived object trajectories, by processing each video-derived object trajectory individually or by aggregating video-derived object trajectories, from the set of video-derived object trajectories, that overlap with respect to at least one feature. For each event, a preview image is selected that includes a thumbnail image and/or a video frame, based on the user request and using a ranking algorithm, and event metadata associated with the preview image is received. Also for each event, a video segment associated with that event is received, and the preview image and/or the video segment is caused to be displayed to a user associated with the user request.

Systems and methods for trajectory-based object search using edge computing

Introduced here are surveillance systems and associated approaches for obfuscating biometric identifiers generated by, or available to, those surveillance systems for privacy reasons. In the event that a surveillance system generates a biometric identifier (e.g., by imaging a face of a person entering the premises of an organization), caution must be taken to only share the biometric identifier with individuals as necessary for security reasons. The approaches introduced here allow the privacy of persons being surveilled to be protected. Specifically, a computer program may selectively apply blurring as an impermanent mask to obfuscate each face in a digital image. This approach limits 'reidentification' of a given person to those scenarios where her identity must be determined.

Approaches to obfuscating biometric data for privacy reasons in a browser environment and surveillance systems for accomplishing the same

A method for performing detection-based object searches includes receiving a user request indicating a region of interest, a timeframe of interest, or an object of interest. A signal is sent to cause execution of a query to identify object detections based on the user request. A signal representing at least one event identified in response to the query is received. For each event from the at least one event, a thumbnail image is identified based on the user request and using a ranking algorithm. A video frame identified based on the thumbnail image is received, and a video segment associated with the video frame is retrieved, A preview image clip that includes the video frame and the video segment is generated and displayed to a user associated with the user request.

Methods and apparatus for detection-based object search using edge computing

A method for generating and selecting images of objects based on video data and text data includes receiving, at a processor of a video camera system, a video stream including a series of video frames depicting at least one object. A set of at least one classification for the object is generated. Additionally, an image that depicts the object and that includes a cropped portion of a video frame from the series of video frames is generated. A set of at least one index key is generated based on the set of at least one classification, and the image is stored based on the set of at least one index key. The processor receives a signal representing a text input from a user, and the processor performs at least one of (1) retrieval of the image or (2) generation of an alert.

Methods and apparatus for identifying video-derived data

A method for monitoring protected regions of a camera view includes receiving, at a processor of a video camera system, a video stream including a series of video frames depicting at least one scene. A background model is identified based on a predefined representation of at least one region of interest associated with the scene. Each of the video frames is compared to the background model, to define an associated binary mask. A persistent change in the at least one region of interest is detected, based on the binary masks, the persistent change having an associated duration that exceeds a predefined threshold. In response to detecting the persistent change, a change notification message including a video file is generated. The method also includes causing display of the change notification message via a user interface and/or causing transmission of the change notification message to a remote compute device.

Methods and apparatus for targeted analysis of video images and detection of persistent changes in a camera view

A method for generating cropped images depicting objects captured in video data includes receiving, at a processor of a video camera system, a video stream including a series of video frames depicting an object. A classification for the object is generated, and an occurrence of the object being detected is identified in an additional video frame(s) from the series of video frames. A motion associated with the object is calculated based on the classification and the additional video frame(s). At least one image that depicts the object and includes a cropped portion of a video frame from the series of video frames is generated, along with an associated set of at least one quality score, in response to calculating the motion. The method also includes causing transmission of the at least one image to at least one remote compute device based on the set of at least one quality score.

Methods and apparatus for generating images of objects detected in video camera data

A method includes receiving, at a processor and from a requestor compute device, a request including a representation of at least one video camera from a set of video cameras. In response to receiving the request, a set of at least one video file is generated by retrieving a set of video clips associated with the at least one video camera and the time range. For each of the at least one video camera, a subset of video clips is selected from the set of video clips for that video camera based on a comparison of anomaly scores for that video camera, and concatenating the subsets of video clips to generate the set of at least one video file. The method also includes sending a signal to cause display of at least one video file from the set of at least one video file via the requestor compute device.

Growing community of inventors

San Mateo, CA, United States of America

Rishabh Goyal