Abstract: Provided is a unified system between a fleet of heterogeneous vehicles and the vehicles' heterogeneous cloud services for delivering a unified user interface to remotely control the fleet of vehicles. The system performs several functions, including obtaining digital vehicle tokens for each vehicle, which allow commands to be triggered on the associated vehicle clouds to manage the vehicles. Sets of APIs corresponding to the vehicle clouds are obtained, and when a user sends a request for a specific vehicle, a digital user token is generated and mapped to the vehicle's digital vehicle token. Subsequently, when user commands for managing the vehicle are received, the system constructs vehicle commands using the APIs of the vehicle's cloud service. Finally, the digital vehicle token and the vehicle commands are transmitted to the corresponding vehicle cloud for executing the commands and managing the vehicle accordingly.

Abstract: An apparatus comprising an interface and a processor. The interface may be configured to receive pixel data corresponding to a monitored area. The processor may be coupled to the interface and may be configured to (i) process the pixel data arranged as video frames, (ii) perform computer vision operations to detect an object in the video frames, (iii) extract characteristics about the object detected, (iv) generate a three-dimensional (3D) map of the object utilizing the pixel data corresponding to the object, (v) determine whether the object is within a three-dimensional (3D) virtual security zone based on the 3D map of the object, and (vi) generate a trigger signal in response to all or a portion of the object being within the 3D virtual security zone. The 3D virtual security zone is generally determined by a user during a setup procedure.

Abstract: An apparatus includes a first light source, a second light source, an image sensor circuit, and a processing circuit. The first light source is generally capable of emitting infrared light. The second light source is generally capable of emitting visible light. The image sensor circuit is generally responsive to both the infrared light and the visible light. The processing circuit is generally coupled to the image sensor circuit and configured to generate an image comprising both infrared information and color information.

Abstract: An apparatus including an interface and a processor. The interface may be configured to receive pixel data generated by a capture device. The processor may be configured perform computer vision operations on the video frames to detect objects, perform a classification of the objects detected based on characteristics of the objects, determine whether the classification of the objects corresponds to an event, generate a full video stream in response to all of the video frames and generate encoded video frames. The full video stream may be recorded to a storage medium local to the apparatus. The encoded video frames may be communicated to a cloud service. The encoded video frames may comprise a first sample of the video frames selected at a first rate when the event is not detected and a second sample of the video frames selected at a second rate while the event is detected.

Abstract: An apparatus comprising an interface and a processor. The interface may be configured to receive pixel data corresponding to a monitored area. The processor may be coupled to the interface and may be configured to (i) process the pixel data arranged as video frames, (ii) perform computer vision operations to detect an object in the video frames, (iii) extract characteristics about the object detected, (iv) generate a three-dimensional (3D) map of the object utilizing the pixel data corresponding to the object, (v) determine whether the object is within a three-dimensional (3D) virtual security zone based on the 3D map of the object, and (vi) generate a trigger signal in response to all or a portion of the object being within the 3D virtual security zone. The 3D virtual security zone is generally determined by a user during a setup procedure.

Abstract: An apparatus comprising an interface and a processor. The interface may be configured to receive pixel data generated by a capture device and an activation signal generated by at least one of a plurality of sensors. The processor may be configured to process the pixel data arranged as video frames, perform computer vision on the video frames to detect objects, perform a classification of the objects, present a control signal in response to receiving the activation signal, determine whether there is a match between the classification and an object class and generate a calibration signal in response to the match. The computer vision may determine which zone that the objects have been detected in. Each zone may comprise a coverage region of one of the sensors. The calibration signal may adjust parameters of the sensors that correspond to the zone with the objects that do not have the match.

Abstract: An apparatus includes a camera and a processing circuit. The camera may be configured to capture images of an environment around a vehicle. The processing circuit may be configured to (i) perform automated number-plate recognition using the images, (ii) store a history of detected license plates, and (iii) search the history of detected license plates in response to receiving a request from a communication device of a vehicle user for information matching the request.

Abstract: An apparatus includes an interface circuit and a control circuit. The interface circuit may be configured to receive pixel data corresponding to a field of view of a camera. The control circuit may be configured to process the pixel data arranged as video frames and control an exposure time for capturing the pixel data and a turn on time of a structured light pattern to obtain a sequence of images comprising at least one image including the structured light pattern and at least one image where the structured light pattern is absent. The control circuit may be further configured to perform a depth analysis to generate depth information using the at least one image including the structured light pattern. The control circuit may store and execute an artificial neural network trained to (i) discern whether a face is at least one of a real face and a fake face, and (ii) make a liveness determination utilizing the depth information.

Abstract: An apparatus includes an interface and a processor. The interface may be configured to receive pixel data corresponding to an entrance of a secured area. The processor may be configured to process the pixel data arranged as video frames, perform computer vision operations to detect objects, extract characteristics about the objects, determine a number of people in the video frames, receive an authorization signal from an access control device and generate a control signal. The authorization signal may be used by the access control device to grant access to the secured area. The number of people in the video frames may be determined after the authorization signal is received. The control signal may be generated when the number of people is greater than a number of entrants permitted by the authorization signal. The control signal may provide an indication of unauthorized access to the secured area.

Abstract: An apparatus includes a first light source, a second light source, an image sensor circuit, and a processing circuit. The first light source is generally capable of emitting infrared light. The second light source is generally capable of emitting visible light. The image sensor circuit is generally responsive to both the infrared light and the visible light. The processing circuit is generally coupled to the image sensor circuit and configured to generate an image comprising both infrared information and color information.

Abstract: An apparatus including an interface and a processor. The interface may be configured to receive pixel data. The processor may be configured to generate a plurality of video frames in response to the pixel data received from the interface, perform computer vision operations to detect objects in the video frames, extract features of the objects in response to characteristics of the objects determined using the computer vision operations, identify a person in the video frames based on the features, detect an event based on the person identified and generate a notification in response to detecting the event and a permission status. The permission status may suppress sending the notification when the permission status for the person identified corresponds to denying the notification and enable sending the notification when the permission status does not correspond to denying the notification.

Abstract: An apparatus including a capture device and one or more sensors. The capture device may be configured to operate in a standby mode of operation until a wakeup signal is received and operate in video capture mode of operation in response to the wakeup signal. The sensors may each be configured to detect a trigger condition and communicate the wakeup signal in response to detecting the trigger condition. The capture device may be configured to consume a first amount of power in the standby mode of operation and a second amount of power in the video capture mode of operation. The first amount of power may be less than the second amount of power. The capture device may be configured to generate pixel data in the video capture mode of operation. Each of the sensors may be remotely located on a vehicle with respect to the capture device.

Abstract: An apparatus including an interface and a processor. The interface may be configured to receive pixel data generated by a capture device. The processor may be configured to generate video frames in response to the pixel data, perform computer vision operations on the video frames to detect objects, perform a classification of the objects detected based on characteristics of the objects, determine whether the classification of the objects corresponds to a user-defined event and generate encoded video frames from the video frames. The encoded video frames may be communicated to a cloud storage service. The encoded video frames may comprise a first sample of the video frames selected at a first rate when the user-defined event is not detected and a second sample of the video frames selected at a second rate while the user-defined event is detected. The second rate may be greater than the first rate.

Abstract: An apparatus comprises a camera and one or more sensors. The camera generally has a low power deactivated mode. The one or more sensors are generally remotely located with respect to the camera. The one or more sensors may be configured to communicate a signal to the camera in response to a trigger condition. The camera is generally configured to activate in response to receiving the signal from the one or more sensors.

Abstract: An apparatus including an interface and a processor. The interface may be configured to receive pixel data generated by a capture device. The processor may be configured to generate video frames in response to the pixel data, perform computer vision operations on the video frames to detect objects, perform a classification of the objects detected based on characteristics of the objects, determine whether the classification of the objects corresponds to a user-defined event and generate encoded video frames from the video frames. The encoded video frames may be communicated to a cloud storage service. The encoded video frames may comprise a first sample of the video frames selected at a first rate when the user-defined event is not detected and a second sample of the video frames selected at a second rate while the user-defined event is detected. The second rate may be greater than the first rate.

Abstract: An apparatus including an interface and a processor. The interface may be configured to receive pixel data generated by a capture device. The processor may be configured to generate video frames in response to the pixel data, perform computer vision operations on the video frames to detect objects, perform a classification of the objects detected based on characteristics of the objects, determine whether the classification of the objects corresponds to a user-defined event and generate encoded video frames from the video frames. The encoded video frames may be communicated to a cloud storage service. The encoded video frames may comprise a first sample of the video frames selected at a first rate when the user-defined event is not detected and a second sample of the video frames selected at a second rate while the user-defined event is detected. The second rate may be greater than the first rate.

Abstract: An apparatus includes an interface circuit and a control circuit. The interface circuit may be configured to receive pixel data corresponding to a field of view of a camera. The control circuit may be configured to process the pixel data arranged as video frames and control an exposure time for capturing the pixel data and a turn on time of a structured light pattern to obtain a sequence of images comprising at least one image including the structured light pattern and at least one image where the structured light pattern is absent. The control circuit may be further configured to perform a depth analysis to generate depth information using the at least one image including the structured light pattern. The control circuit may store and execute an artificial neural network trained to (i) discern whether a face is at least one of a real face and a fake face, and (ii) make a liveness determination utilizing the depth information.

Abstract: An apparatus includes an RGB-IR image sensor, a structured light projector, and a control circuit. The control circuit may be configured to control a shutter exposure time of the RGB-IR image sensor and a turn on time of the structured light projector to obtain a sequence of images captured by the RGB-IR image sensor, wherein the sequence of images comprises at least one image including a structured light pattern and at least one image where the structured light pattern is absent.

Abstract: An apparatus includes an RGB-IR rolling shutter image sensor, a structured light projector, and a control circuit. The control circuit may be configured to control an exposure time of the RGB-IR rolling shutter image sensor and a turn on time of the structured light projector to obtain a structured light pattern in images captured by the RGB-IR rolling shutter image sensor.

Abstract: An apparatus including an interface and a processor. The interface may be configured to receive pixel data generated by a capture device. The processor may be configured perform computer vision operations on the video frames to detect objects, perform a classification of the objects detected based on characteristics of the objects, determine whether the classification of the objects corresponds to an event, generate a full video stream in response to all of the video frames and generate encoded video frames. The full video stream may be recorded to a storage medium local to the apparatus. The encoded video frames may be communicated to a cloud service. The encoded video frames may comprise a first sample of the video frames selected at a first rate when the event is not detected and a second sample of the video frames selected at a second rate while the event is detected.