Abstract: Example aspects include a method, apparatus, and computer-readable medium comprising identifying, by an access control system, an access attempt associated with an individual. The aspects further include confirming, by the access control system, an identity of the individual. Additionally, the aspects further include granting access to the individual by the access control system in response to confirming the identity of the individual. Additionally, the aspects further include building, by the access control system, a digital identity profile of the individual based on visual data of the individual captured contemporaneously with the access attempt.

Abstract: Disclosed herein are apparatuses and methods for granting entry through a checkpoint. The implementations include receiving a request for entry of a person through a checkpoint. The implementations include estimating, via a thermal sensor, a body surface temperature of the person, and generating, via a user interface, a notification that prompts the person to answer at least one verification question. The implementations include receiving, via the user interface, at least one user response to the at least one verification question. The implementations include determining whether the at least one user response and the body surface temperature match criteria for gaining entry through the checkpoint. Additionally, the implementations include granting the request for entry in response to determining that the at least one user response and the body surface temperature match the criteria.

Abstract: Example implementations include a method, apparatus, and computer-readable medium for sharing analytical resources in a camera network, comprising capturing a video clip comprising a set of image frames via a first camera having only non-artificial intelligence (A.I) features, wherein the first camera is part of a camera network. The implementations further include identifying, in the camera network, a second camera that has an A.I feature. The implementations further include determining whether the second camera has bandwidth to analyze the video clip. The implementations include transmitting, via the first camera, the video clip to the second camera for analysis using the A.I feature, in response to determining that the second camera has bandwidth. The implementations include receiving, by the first camera from the second camera, metadata comprising results of the analysis using the A.I feature and generating, for display on a user interface, the video clip with the metadata.

Abstract: Aspects of the present disclosure include methods and systems for receiving, from a requester, a request for accessing an access-controlled asset based on authentication information of an authorized user, identifying a request location of the request, identifying a current location of the authorized user, determining whether the request location is substantially identical to the current location, and granting the request in response to authenticating the authentication information and determining that the request location is substantially identical to the current location, or denying the request in response to failure to authenticate the authentication information or determining that the request location is different than the current location.

Abstract: Disclosed herein are systems, methods, and non-transitory computer readable mediums directed to identifying persons monitored on video frames of a video feed, determining if the number of people on a monitored video frame is above a prescribed group threshold, and if so, calculating distances between each respective person in the monitored video frame. The calculated distances between each respective person are then compared to a prescribed distance threshold and alerts are generated in response to any calculated distance not satisfying the prescribed threshold. Identification of persons in a monitored video frame may be performed by, for example, facial recognition software. Calculation of distance between persons in a monitored video frame may be performed, for example, by using bounding boxes, machine learning, or other classification techniques.

Abstract: Disclosed herein are apparatuses and methods for verifying video authenticity using blockchain. An implementation may include receiving a video clip from a first source and generating a genesis block of a blockchain, wherein the genesis block includes the video clip, metadata of the video clip, and a first hash value of both the video clip and the metadata. The implementation includes distributing the blockchain to a plurality of nodes in a blockchain network. The implementation includes for each indication received of activity performed on the video clip to be recorded on the blockchain, verifying the activity and generating a new block on the blockchain recording the activity. The implementation includes receiving a modified version of the video clip, verifying an authenticity of the modified version based on each activity recorded in the blockchain, and in response to determining that the modified version is not authentic, generating an alert indicating inauthenticity.

Abstract: Example aspects include a method, apparatus, and computer-readable medium comprising identifying, by an access control system, an access attempt associated with an individual. The aspects further include confirming, by the access control system, an identity of the individual. Additionally, the aspects further include granting access to the individual by the access control system in response to confirming the identity of the individual. Additionally, the aspects further include building, by the access control system, a digital identity profile of the individual based on visual data of the individual captured contemporaneously with the access attempt.

Abstract: Example aspects include a method, apparatus, and computer-readable medium for surveillance data processing for sanitation verification, comprising determining, by a processor based on area identification information received by a surveillance system of a premises, that an area of the premises requires periodic sanitation. The aspects further include determining, by the processor based on data captured by one or more sensors of the surveillance system, whether one or more persons associated with the cleaning staff profile have visited the area within a threshold period of time. Additionally, the aspects further include sending, by the processor, a first notification to a facilities management device in response to the one or more persons associated with the cleaning staff profile not having visited the area within the threshold period of time.

Abstract: Example aspects include a method, apparatus, and computer-readable medium for surveillance data processing for sanitation verification, comprising determining, by a processor based on area identification information received by a surveillance system of a premises, that an area of the premises requires periodic sanitation. The aspects further include determining, by the processor based on data captured by one or more sensors of the surveillance system, whether one or more persons associated with the cleaning staff profile have visited the area within a threshold period of time. Additionally, the aspects further include sending, by the processor, a first notification to a facilities management device in response to the one or more persons associated with the cleaning staff profile not having visited the area within the threshold period of time.

Abstract: Disclosed herein are apparatuses and methods for granting entry through a checkpoint. The implementations include receiving a request for entry of a person through a checkpoint. The implementations include estimating, via a thermal sensor, a body surface temperature of the person, and generating, via a user interface, a notification that prompts the person to answer at least one verification question. The implementations include receiving, via the user interface, at least one user response to the at least one verification question. The implementations include determining whether the at least one user response and the body surface temperature match criteria for gaining entry through the checkpoint. Additionally, the implementations include granting the request for entry in response to determining that the at least one user response and the body surface temperature match the criteria.

Abstract: Disclosed herein are systems, methods, and non-transitory computer readable mediums directed to tracing a person of interest (POI) using video. As provided herein, images of a POI are obtained, such as from a data store, and then the POI is identified in one or more video frames of a monitored video feed by comparing the monitored video frames to the images of the POI using facial recognition techniques. If the POI is identified, additional persons within a prescribed distance threshold of the POI are determined and identified using facial recognition techniques. Thereafter, a list of each identified person within the distance threshold of the POI is generated and may be transmitted to a desired recipient.

Abstract: Disclosed herein are systems, methods, and non-transitory computer readable mediums directed to identifying persons monitored on video frames of a video feed, determining if the number of people on a monitored video frame is above a prescribed group threshold, and if so, calculating distances between each respective person in the monitored video frame. The calculated distances between each respective person are then compared to a prescribed distance threshold and alerts are generated in response to any calculated distance not satisfying the prescribed threshold. Identification of persons in a monitored video frame may be performed by, for example, facial recognition software. Calculation of distance between persons in a monitored video frame may be performed, for example, by using bounding boxes, machine learning, or other classification techniques.

Abstract: Provided is a process, including: obtaining a set of historical geolocations; segmenting the historical geolocations into a plurality of temporal bins; determining pairwise transition probabilities between a set of geographic places based on the historical geolocations; configuring a compute cluster by assigning subsets of the transition probabilities to computing devices in the compute cluster; receiving a geolocation stream indicative of current geolocations of individuals; selecting a computing device in the compute cluster in response to determining that the computing device contain transition probabilities for the received respective geolocation; selecting transition probabilities applicable to the received respective geolocation from among the subset of transition probabilities assigned to the selected computing device; predicting a subsequent geographic place based on the selected transition probabilities.

Abstract: A video summarization device includes a user input device, a communications interface, a processing circuit, and a display device. The user input device receives a first request to view a plurality of video streams including an indication of a first time associated with the plurality of video streams. The processing circuit transmits, via the communications interface, a second request to retrieve a plurality of image frames based on the indication of the first time to at least one of a first database and a second database. The processing circuit receives, from the at least one of the first database and the second database, the plurality of image frames. The processing circuit provides, to the display device, a representation of a plurality of video stream objects corresponding to the plurality of image frames received from the at least one of a first database and a second database.

Abstract: Provided is a process, including: obtaining a set of historical geolocations; segmenting the historical geolocations into a plurality of temporal bins; determining pairwise transition probabilities between a set of geographic places based on the historical geolocations; configuring a compute cluster by assigning subsets of the transition probabilities to computing devices in the compute cluster; receiving a geolocation stream indicative of current geolocations of individuals; selecting a computing device in the compute cluster in response to determining that the computing device contain transition probabilities for the received respective geolocation; selecting transition probabilities applicable to the received respective geolocation from among the subset of transition probabilities assigned to the selected computing device; predicting a subsequent geographic place based on the selected transition probabilities.

Abstract: Provided is a process, including: obtaining a set of historical geolocations; segmenting the historical geolocations into a plurality of temporal bins; determining pairwise transition probabilities between a set of geographic places based on the historical geolocations; configuring a compute cluster by assigning subsets of the transition probabilities to computing devices in the compute cluster; receiving a geolocation stream indicative of current geolocations of individuals; selecting a computing device in the compute cluster in response to determining that the computing device contain transition probabilities for the received respective geolocation; selecting transition probabilities applicable to the received respective geolocation from among the subset of transition probabilities assigned to the selected computing device; predicting a subsequent geographic place based on the selected transition probabilities.

Abstract: A video summarization device includes a user input device, a communications interface, a processing circuit, and a display device. The user input device receives a first request to view a plurality of video streams including an indication of a first time associated with the plurality of video streams. The processing circuit transmits, via the communications interface, a second request to retrieve a plurality of image frames based on the indication of the first time to at least one of a first database and a second database. The processing circuit receives, from the at least one of the first database and the second database, the plurality of image frames. The processing circuit provides, to the display device, a representation of a plurality of video stream objects corresponding to the plurality of image frames received from the at least one of a first database and a second database.

Abstract: Provided is a process of selectively providing content to computing devices based on geographic proximity to dynamically detected events drawing crowds, the process including: obtaining, with one or more computers, data indicative of current geolocations of more than 5,000 mobile computing devices based on information reported by an application executing on the mobile computing devices; inferring, with one or more computers, that an event with a crowd is occurring based on the data indicative of the geolocations indicating an amount of people and a proximity of the people; selecting, with one or more computers, content in response to the inference; and sending, with one or more computers, the selected content to one or more user computing devices for presentation based on proximity between the one or more user computing devices and a geographic location of the event with the crowd.

Abstract: Provided is a process, including: obtaining a set of historical geolocations; segmenting the historical geolocations into a plurality of temporal bins; determining pairwise transition probabilities between a set of geographic places based on the historical geolocations; configuring a compute cluster by assigning subsets of the transition probabilities to computing devices in the compute cluster; receiving a geolocation stream indicative of current geolocations of individuals; selecting a computing device in the compute cluster in response to determining that the computing device contain transition probabilities for the received respective geolocation; selecting transition probabilities applicable to the received respective geolocation from among the subset of transition probabilities assigned to the selected computing device; predicting a subsequent geographic place based on the selected transition probabilities.

Abstract: Provided is a process of selectively providing content to computing devices based on geographic proximity to dynamically detected events drawing crowds, the process including: obtaining, with one or more computers, data indicative of current geolocations of more than 5,000 mobile computing devices based on information reported by an application executing on the mobile computing devices; inferring, with one or more computers, that an event with a crowd is occurring based on the data indicative of the geolocations indicating an amount of people and a proximity of the people; selecting, with one or more computers, content in response to the inference; and sending, with one or more computers, the selected content to one or more user computing devices for presentation based on proximity between the one or more user computing devices and a geographic location of the event with the crowd.