Abstract: A smart badge, and a method, system and computer program product for badge detection and compliance are disclosed. The method, carried out within a security system, includes capturing, using a camera, an image of a person. The captured image includes a face of the person within a first pixel region of the image. The method also includes performing facial recognition on the first pixel region to determine an identity of the person. The method also includes performing video analytics, on a second pixel region of the image, different than the first pixel region, to make a first determination that the identified person is wearing a badge, or to make a second determination that no badge is being properly worn by the identified person. The method also includes generating an alert, specific to the identified person, within the security system based at least in part on the first or second determination.

Abstract: Methods, systems, and techniques for generating two-dimensional (2D) and three-dimensional (3D) images and image streams. The images and image streams may be generated using active stereo cameras projecting at least one illumination pattern, or by using a structured light camera and a pair of different illumination patterns of which at least one is a structured light illumination pattern. When using an active stereo camera, a 3D image may be generated by performing a stereoscopic combination of a first set of images (depicting a first illumination pattern) and a 2D image may be generated using a second set of images (optionally depicting a second illumination pattern). When using a structured light camera, a 3D image may be generated based on a first image that depicts a structured light illumination pattern, and a 2D image may be generated from the first image and a second image that depicts a different illumination pattern.

Abstract: A method, system and computer program product for object-initiated redaction of surveillance video is disclosed. Video analytics is used to detect and recognize a predefined gesture being made by an object appearing in analyzable video. In response to a determination that the predefined gesture has been made, at least some appearance instances of the object are redacted from videos captured by different cameras.

Abstract: A computer implemented method, comprising: detecting presence of an object of interest within a plurality of image frames received from a sensor; determining that the object of interest is moving towards an automatic door that is configured to close within a predetermined time period; determining, based on position, speed and direction of the object of interest, a likelihood that the object of interest may impede closing of the automatic door; and when the likelihood exceeds a threshold value, maintaining the automatic door in an open position for a longer period of time than the predetermined time period.

Abstract: A device, system and method for controlling a passage barrier mechanism is provided. While failing to detect, via a biometric imaging system in communication with a passage barrier mechanism, unauthorized users in a first area of interest of the biometric imaging system, a device: maintains the passage barrier mechanism in a multiple entry state in which multiple users at a time authenticate, via the biometric imaging system, and enter therethrough. Responsive to detecting, via the biometric imaging system, an unauthorized user in the first area of interest, the device: transitions the passage barrier mechanism from the multiple entry state to a single entry state in which only a single user at a time authenticates, via the biometric imaging system, and enters therethrough; and changes a biometric authentication range of the biometric imaging system from the first area of interest to a smaller second area of interest.

Abstract: Methods, systems, and techniques for enhancing use of two-dimensional (2D) video analytics by using depth data. Two-dimensional image data representing an image comprising a first object is obtained, as well as depth data of a portion of the image that includes the first object. The depth data indicates a depth of the first object. An initial 2D classification of the portion of the image is generated using the 2D image data without using the depth data. The initial 2D classification is stored as an approved 2D classification when the initial 2D classification is determined consistent with the depth data. Additionally or alternatively, a confidence level of the initial 2D classification may be adjusted depending on whether the initial 2D classification is determined to be consistent with the depth data, or the depth data may be used with the 2D image data for classification.

Abstract: Methods, systems, and techniques for monitoring an object-of-interest within a region involve receiving at least data from two sources monitoring a region and correlating that data to determine that an object-of-interest depicted or represented in data from one of the sources is the same object-of-interest depicted or represented in data from the other source. Metadata identifying that the object-of-interest from the two sources is the same object-of-interest is then stored for later use in, for example, object tracking.

Abstract: Methods, systems, and techniques for generating two-dimensional (2D) and three-dimensional (3D) images and image streams. The images and image streams may be generated using active stereo cameras projecting at least one illumination pattern, or by using a structured light camera and a pair of different illumination patterns of which at least one is a structured light illumination pattern. When using an active stereo camera, a 3D image may be generated by performing a stereoscopic combination of a first set of images (depicting a first illumination pattern) and a 2D image may be generated using a second set of images (optionally depicting a second illumination pattern). When using a structured light camera, a 3D image may be generated based on a first image that depicts a structured light illumination pattern, and a 2D image may be generated from the first image and a second image that depicts a different illumination pattern.

Abstract: Methods, systems, and techniques for generating two-dimensional (2D) and three-dimensional (3D) images and image streams. The images and image streams may be generated using active stereo cameras projecting at least one illumination pattern, or by using a structured light camera and a pair of different illumination patterns of which at least one is a structured light illumination pattern. When using an active stereo camera, a 3D image may be generated by performing a stereoscopic combination of a first set of images (depicting a first illumination pattern) and a 2D image may be generated using a second set of images (optionally depicting a second illumination pattern). When using a structured light camera, a 3D image may be generated based on a first image that depicts a structured light illumination pattern, and a 2D image may be generated from the first image and a second image that depicts a different illumination pattern.

Abstract: A system is provided, including: a radar sensor configured to transmit and receive a radar signal from a person; a depth camera configured to receive a depth image of the person; one or more processors communicative with memory having stored thereon computer program code configured when executed by the one or more processors to cause the one or more processors to perform a method comprising: detect the person; determine depth information relating to the person using the depth image; determine a correlation between the depth information of the person and the radar signal received from the person; and in response to the correlation not within a range of expected values, generating an alert. The depth information may be a volume or surface area of the person.

Abstract: Methods, systems, and techniques for monitoring an object-of-interest within a region involve receiving at least data from two sources monitoring a region and correlating that data to determine that an object-of-interest depicted or represented in data from one of the sources is the same object-of-interest depicted or represented in data from the other source. Metadata identifying that the object-of-interest from the two sources is the same object-of-interest is then stored for later use in, for example, object tracking.

Abstract: A method and system for controlling a passage from a secured location to an unsecured location based on presence detection of the unsecured location, including: a radar system in the secure location configured to transmit radar signals to and receive radar signals from the unsecured location; on determination of the presence, by the radar system, of a first person in the unsecured location proximate to the passage, providing an alert. The determination of the presence of the first person in the unsecured location may be triggered by a second person in the secured location moving proximate to the exit or by the second person in the secured location requesting to exit through the passage.

Abstract: Techniques for automatically detecting objects left behind. An example method includes receiving video frames of a scene from a three-dimensional (3D) camera and establishing, based on 3D depths associated with the video frames, a background of the scene. The method also includes detecting, in the frames, a foreground blob in the scene based on the foreground blob having a 3D depth that is different from the background. The method further includes detecting that the foreground blob has separated into a blob corresponding to a person and a second blob corresponding to an object, based on the person having a 3D depth that is different from the object. The method additionally includes determining that the person has been separated from the object for a threshold, and responsive to determining that the person has been separated from the object for the threshold, generating an alert indicating that the object is left behind.

Abstract: Alias capture to support searching for an object-of-interest is disclosed. A method includes capturing, using a camera with a defined field of view, video image frames that include a moving object-of-interest. The method also includes tracking the object-of-interest over a period of time starting when the object-of-interest enters the field of view and ending when the object-of-interest exits the field of view. The method also includes detecting, at a point in time in-between the start and end of the period of time of the tracking, a threshold exceeding change in an appearance of the object-of-interest. The method also includes creating, before the end of the period of time of the tracking, a new object profile for the object-of-interest in response to the detecting of the threshold exceeding change.

Abstract: For a mobile device with a depleted battery, an access control reader is configured to wirelessly transfer power, thereafter authorize an access request received from the mobile device, and, in response to authorizing the access request, grant access to a resource.

Abstract: An electronic movement-controlled apparatus that includes a camera and a movable arm is disclosed. The movable arm has both a stationary end and a movable end with the camera being attached to the movable end so as to be movable therewith. The stationary end is configured to be coupled to a rigid support structure. The movable arm includes a plurality of arm segments connected in series to form the movable arm. The arm segments are configured to have cooperating segment regions in terms of each of the arm segments being compressible and expandable in unison to move the movable end and effect a pan and tilt movement of the camera.

Abstract: A surveillance drone is disclosed. The surveillance drone includes a gas-filled container and propellers for aerial mobility. The surveillance drone also includes an electronic surveillance sensing device positioned below the gas-filled container. The gas-filled container may be filled with a lighter than air gas such as, for example, helium.

Abstract: Methods, systems, and techniques for monitoring an object-of-interest within a region involve receiving at least data from two sources monitoring a region and correlating that data to determine that an object-of-interest depicted or represented in data from one of the sources is the same object-of-interest depicted or represented in data from the other source. Metadata identifying that the object-of-interest from the two sources is the same object-of-interest is then stored for later use in, for example, object tracking.

Abstract: Methods, systems, and techniques for tagless tracking of an object-of-interest are disclosed. Image and non-image data are generated across a plurality of camera-specific regions, and the object-of-interest is tracked over a global map formed as a composite of these regions.

Abstract: A computer-implemented method for detecting a person in a room using a sensor, such as a radar sensor or depth cameras is provided. The method can be used to detect sleeping persons in a publically accessible location to prevent loitering. Furthermore, the method can be used to identify which rooms amongst a plurality of rooms are occupied, for example changing rooms.