Abstract: Example implementations include a method, apparatus and computer-readable medium for adjusting bandwidth in video networks, comprising monitoring a video network comprising a plurality of cameras and a network video recorder (NVR). The implementations include receiving, at a first time, a first plurality of network parameters associated with data transmitted from each of the plurality of cameras and a second plurality of network parameters associated with data received by the NVR. The implementations include identifying, using a plurality of rules, a discrepancy between the first plurality of network parameters and the second plurality of network parameters. The implementations further include transmitting, to the at least one camera, an instruction to adjust a peak bandwidth limit of the at least one camera to a new value, in response to identifying the discrepancy.

Abstract: According to an aspect, an access control system includes a camera, a database configured to maintain facial information, and a processor. The processor is configured to: execute an identification algorithm to identify a subject based on the detected image and the facial information; identify at least one additional subject based on the detected image; determine movement information regarding the subject and the at least one additional subject; perform one or more second factor authentication processes; determine whether the at least one additional subject has permission to move through an access point based on the subject, the at least one additional subject, the movement information, and a likelihood of risk of tailgating; and grant access to the at least one additional subject based on the permission and whether one or more of the identification algorithm or the one or more second factor authentication processes are determined be successful.

Abstract: Systems and methods are disclosed for providing a wireless communications gateway at a camera. The gateway camera can transmit wireless signals to advertise a wireless communication functionality of the camera, establish, with a device, a wireless connection for communicating with the device, receive, from the device, wireless communications including data for forwarding over an enterprise network, and forward, via a different connection, the data over the enterprise network. The other device can be a camera as well, or substantially any device that can wirelessly communicate with the gateway camera.

Abstract: An access control system can include a camera that detects an image regarding a subject, a database maintaining information, a facial recognizer that receives the image and identifies a facial feature of the subject based on the received image and the facial information maintained by the database, and a processor to alert security or another user when an authorized user accessing an area of a building is under duress, when an unauthorized user is accessing an area of a building by tailgating after an authorized user, when an authorized user has not provided two-factor authentication, or when an authorized user is in a particular area of the building.

Abstract: A method, computer-readable medium, and/or system are configured for protecting an electronic system in packaging. These aspects include electrically detecting, by a controller of the electronic system, an in-package state of the electronic system with respect to the packaging.

Abstract: Example implementations include a method, apparatus and computer-readable medium for object classification, including executing a multi-class object classification model (OCM) on an input image depicting an object, wherein the multi-class OCM is configured to output, for each respective class of a plurality of classes, a respective confidence score indicative of a likelihood of the object being of a member the respective class. The implementations further include detecting a plurality of confidence scores outputted by the multi-class OCM that are within a threshold range, wherein classes associated with the plurality of confidence scores are candidate classes of the object. Additionally, the implementations further include executing, on the input image, a single-class OCM for each of the candidate classes and outputting a final class for the object in the input image based on a result of each single-class OCM.

Abstract: Example implementations include a method, apparatus and computer-readable medium for adjusting bandwidth in video networks, comprising monitoring a video network comprising a plurality of cameras and a network video recorder (NVR). The implementations include receiving, at a first time, a first plurality of network parameters associated with data transmitted from each of the plurality of cameras and a second plurality of network parameters associated with data received by the NVR. The implementations include identifying, using a plurality of rules, a discrepancy between the first plurality of network parameters and the second plurality of network parameters. The implementations further include transmitting, to the at least one camera, an instruction to adjust a peak bandwidth limit of the at least one camera to a new value, in response to identifying the discrepancy.

Abstract: Example implementations include a method, apparatus and computer-readable medium for controlling a camera, comprising receiving a video sequence of a scene. The method includes determining one or more scene description metadata in the scene from the video sequence. The method includes identifying one or more scene object types in the scene based on the one or more scene description metadata. The method includes determining one or more rules based on one or both of the scene description metadata or the scene object types, each rule configured to generate an event based on a detected object following a rule-specific pattern of behavior. The method includes applying the one or more rules to operation of the camera.

Abstract: An access control system can include a camera that detects an image regarding a subject, a database maintaining information, a facial recognizer that receives the image and identifies a facial feature of the subject based on the received image and the facial information maintained by the database, and a processor to alert security or another user when an authorized user accessing an area of a building is under duress, when an unauthorized user is accessing an area of a building by tailgating after an authorized user, when an authorized user has not provided two-factor authentication, or when an authorized user is in a particular area of the building.

Abstract: Example implementations include a method, apparatus and computer-readable medium for configuring a camera, comprising generating, for display on a computing device, a graphical user interface (GUI) for configuring a camera, wherein the camera is programmed to visually receive and execute configuration information. The implementations further include receiving, by the GUI, a selection of a network video recorder (NVR) type from a plurality of NVR types. Additionally, the implementations further include determining NVR settings for the camera based on the selection of the NVR type. Additionally, the implementations further include generating, for display on the GUI, a visual representation of the configuration information for the camera, wherein the configuration information comprises the NVR settings.

Abstract: Example aspects include a method, apparatus and computer-readable medium of enforcing dynamic social distancing rules, comprising monitoring video frames of one or more video feeds, classifying a plurality of persons in the video frames, calculating respective distances between each person of the plurality of persons and remaining persons of the plurality of persons, detecting mask usage of the plurality of persons, measuring a dwell time of the plurality of persons, determining whether the plurality of persons are in violation of the dynamic social distancing rules, and generating an alert. The mask usage indicating whether each person of the plurality of persons is wearing a mask. The dwell time indicating a duration of time that each person of the plurality of persons has been within a proximity threshold to the remaining persons of the plurality of persons.

Abstract: An access control system can include a camera that detects an image regarding a subject, a database maintaining information, a facial recognizer that receives the image and identifies a facial feature of the subject based on the received image and the facial information maintained by the database, and a processor to alert security or another user when an authorized user accessing an area of a building is under duress, when an unauthorized user is accessing an area of a building by tailgating after an authorized user, when an authorized user has not provided two-factor authentication, or when an authorized user is in a particular area of the building.

Abstract: Example implementations include a method, apparatus and computer-readable medium for configuring profiles for a camera, comprising receiving video from the camera. The implementations further include classifying a first scene of the first video stream. Additionally, the implementations further include determining a first metadata for the first scene. Additionally, the implementations further include selecting a first profile for the camera based on the first metadata, wherein the first profile comprises one or more configuration parameters, wherein values of each of the one or more configuration parameters of the first profile are based on the first metadata. Additionally, the implementations further include configuring the camera with the first profile.

Abstract: Aspects of the present disclosure provide systems and methods for access control using multi-factor validation. In an example, an access control system is designed to be used in conjunction with a first recognition system, such as facial recognition system, a gait recognition system, or audio recognition system, that uses a confidence level to determine whether individuals are authorized to access a restricted area. When the first recognition system is unable to confidently identify the individual, a second recognition system, such as a mobile device system or access card system, may be used to provide second factor verification. Further, stored recognition data may be updated to include information gathered by the first recognition system in response to use of the second factor verification.

Abstract: Apparatus and methods for controlling access to a restricted area by an access control device includes obtaining a first image using a first sensor mounted at a first location. A second image is obtained using a second sensor mounted at a location different from a location of the first sensor. The second image is processed, using the second sensor, to obtain information regarding the detected objects in the second image. The information regarding the detected objects is sent from the second sensor to the first sensor. The first sensor compares the received information with a number of objects detected using the first image. A tailgating event is identified, in response to determining that the number of objects detected using the first image does not match the information regarding the number of objects detected using the second image. A tailgating notification is outputted, by the first sensor, indicating a tailgating event.

Abstract: A system may be configured to perform multi-stream bandwidth dispersal. In some aspects, the system may receive, via a communication network, a plurality of frame collections from a video capture device and one or more other video capture devices, and detect a congestion context based upon the plurality of frame collections. Further, the system may determine a schedule notification for the video capture device, the schedule notification providing instruction for transmitting a frame of a frame collection, and transmit, via the communication network, the schedule notification to the video capture device.

Abstract: Example aspects include a method, apparatus and computer-readable medium of enforcing dynamic social distancing rules, comprising monitoring video frames of one or more video feeds, classifying a plurality of persons in the video frames, calculating respective distances between each person of the plurality of persons and remaining persons of the plurality of persons, detecting mask usage of the plurality of persons, measuring a dwell time of the plurality of persons, determining whether the plurality of persons are in violation of the dynamic social distancing rules, and generating an alert. The mask usage indicating whether each person of the plurality of persons is wearing a mask. The dwell time indicating a duration of time that each person of the plurality of persons has been within a proximity threshold to the remaining persons of the plurality of persons.

Abstract: Example aspects include a method, apparatus and computer-readable medium of enforcing a mask wearing policy, comprising monitoring video frames of one or more video feeds. The aspects further include detecting one or more persons in the video frames. Additionally, the aspects further include determining whether the one or more persons are in violation of a mask wearing policy. Additionally, the aspects further include generating an alert in response to determining that the one or more persons are in violation of the mask wearing policy.

Abstract: Example implementations include a method, apparatus and computer-readable medium for configuring profiles for a camera, comprising receiving video from the camera. The implementations further include classifying a first scene of the first video stream. Additionally, the implementations further include determining a first metadata for the first scene. Additionally, the implementations further include selecting a first profile for the camera based on the first metadata, wherein the first profile comprises one or more configuration parameters, wherein values of each of the one or more configuration parameters of the first profile are based on the first metadata. Additionally, the implementations further include configuring the camera with the first profile.

Abstract: Example implementations include a method, apparatus and computer-readable medium for controlling a camera, comprising receiving a video sequence of a scene. The method includes determining one or more scene description metadata in the scene from the video sequence. The method includes identifying one or more scene object types in the scene based on the one or more scene description metadata. The method includes determining one or more rules based on one or both of the scene description metadata or the scene object types, each rule configured to generate an event based on a detected object following a rule-specific pattern of behavior. The method includes applying the one or more rules to operation of the camera.