Abstract: A method to perform remote operation of a mobile vehicle is provided. In this method, data of two types of camera images whose imaging ranges partially overlap each other and data of operation content in the remote operation are acquired. Further, based on the data of the operation content, the position in the vertical direction at which the two types of the camera images are combined is set. Further, at least one of the two types of the camera images is moved in the vertical direction such that the two types of the camera images are combined at the set position in the vertical direction, and the two types of the camera images are combined. Then, a composite image of the two types of the camera images is output from a display of a remote operation device.

Abstract: In one embodiment, a sensor device includes a sensor configured to obtain sensor data and a communication interface configured to communicate with a set of secondary sensor devices. The set of secondary sensor devices comprise a set of secondary sensors and a set of secondary processing devices. The set of secondary sensors obtain additional sensor data. The set of secondary processing devices process the additional sensor data based on a set of secondary machine learning models, and generate activation data based on the additional sensor data. The sensor device also includes a processing device. The processing device is also configured to receive the activation data from the set of secondary sensor devices and cause the sensor to obtain first sensor data based on the activation data. The processing device is further configured to generate one or more inferences based on the first sensor data and a machine learning model.

Abstract: An imaging element according to an embodiment of the present disclosure includes: a first electrode including a plurality of electrodes; a second electrode opposed to the first electrode; a photoelectric conversion layer including an organic material provided between the first electrode and the second electrode; a first semiconductor layer provided between the first electrode and the photoelectric conversion layer, and including an n-type semiconductor material; and a second semiconductor layer provided between the second electrode and the photoelectric conversion layer, and including at least one of a carbon-containing compound having an electron affinity larger than a work function of the first electrode or an inorganic compound having a work function larger than the work function of the first electrode.

Abstract: Systems and methods for site-based calibration of object detection rules, such as for surveillance video cameras, are described. Video data from a video image sensor may be processed using an object detector to determine object data for a detected object. The object data may be post-processed using a post-processing rule set to determine whether the detected object violates the post-processing rule set. Event notifications to a video surveillance application may be prevented responsive to the object data violating the post-processing rule set.

Abstract: Systems and methods for site-based estimation of storage requirements, such as for surveillance video cameras, are described. Product information, a data retention policy, and an intended recording mode about a camera of a surveillance system may be received through a user interface of a user device. A baseline storage value is determined based on the received product information and the data retention policy. A storage requirement may be calculated based on the baseline data storage value and a determined recording co-efficient value based on a sample scene at the camera location. Scene descriptors may be generated based on the sample scene to retrieve the recording co-efficient value from a lookup table.

Abstract: A removable disk clamp assembly for mounting disk media on a motor-driven spindle of a magnetic read-write device includes a disk clamp and a mechanism for generating a predetermined force to press the disk media to a flange of the spindle such that the predetermined force can be repeatedly overcome by an applied counterforce to remove the disk clamp from engagement with a hub of the spindle. Such a mechanism may include a spring-loaded removable disk clamp assembly or a magnetic removable disk clamp assembly, and whereby a vacuum-driven chuck may be employed for disk and clamp handling purposes, all of which are suitable for implementation and use in a read-write device configured for use in an archival data storage system library such as in a cleanroom storage system.

Abstract: Systems and methods for site-based calibration of object detection values, such as for surveillance video cameras, are described. Video data from a video image sensor may be processed using an object detector to determine object data and a confidence score for a detected object. The object data and confidence score may be post-processed to apply calibration values based on the camera location to one or more parameters used for determining detection events. Event notifications may be sent for detection events. The calibration values may be determined from a calibration period where a verification object detector is used to verify the object detections and failure analysis is applied to determine calibration values for the camera location.

Abstract: Systems and methods for processing surveillance video streams using image classification and object detection are described. Video data from a video image sensor may be processed using an image classifier to determine whether an object type is present in a video frame. If the object type is present, the video frame and/or subsequent video frames may be processed using an object detector to provide additional object data, such as position information, for use in other video surveillance processes. In some examples, an event message may be generated and sent to a video surveillance application in response to selective object detection.

Abstract: A magnetic read-write device includes a disk spindle on which disk media are rotatably mounted, an enclosure in which the spindle is housed, an opening/closing mechanism such as a cover configured for opening to provide access to the spindle and for closing to contain particles that may be generated during operation of the device, and a seal configured for sealing the enclosure when the opening/closing mechanism is closed. The device may further include a pre-loaded hinge coupling the cover with the enclosure, and a loading mechanism such as a spring coupled with the hinge and configured for biasing the cover to a closed position and for applying a sealing force to the seal at an interface of the cover and the enclosure. This type of device may be implemented for use in an archival data storage system library such as in a cleanroom storage system.

Abstract: Systems, methods, and data storage devices using a video group classifier based on an object tracker are described. A group classifier may be trained using machine learning to classify image objects from a video frame and assign a classifier identifier. An object tracker and the group classifier may be used to determine correspondence between tracker identifiers and classifier identifiers for assigning group identifiers. The object tracker may then be used to determine image objects, assign tracker identifiers, and track the movement of those image objects through a video data stream to associate tracker identifiers with the video frames. The tracker identifier may be used to assign a group identifier to each video frame based the correspondence between the tracker identifier and the classifier identifier.

Abstract: A digital video camera architecture for updating an object identification and tracking model deployed with the camera is disclosed. The invention comprises optics, a processor, a memory, and an artificial intelligence logic which may further comprise artificial neural networks. The architecture may identify objects according to the confidence threshold of a model. The confidence threshold may be monitored over time, and the model may be updated if the confidence threshold drops below an acceptable level. The data for retraining is ideally generated substantially internal to the camera. A classifier is generated to process the entire field data set stored on the camera to create a field data subset also stored on the camera. The field data subset may be run through the model to generate cases that may be used in further monitoring, training, and updating of the model. Classifiers may also be generated for images in different domains (e.g.

Abstract: A removable disk clamp assembly for mounting disk media on a motor-driven spindle of a magnetic read-write device includes a disk clamp and a mechanism for generating a predetermined force to press the disk media to a flange of the spindle such that the predetermined force can be repeatedly overcome by an applied counterforce to remove the disk clamp from engagement with a hub of the spindle. Such a mechanism may include a spring-loaded removable disk clamp assembly or a magnetic removable disk clamp assembly, and whereby a vacuum-driven chuck may be employed for disk and clamp handling purposes, all of which are suitable for implementation and use in a read-write device configured for use in an archival data storage system library such as in a cleanroom storage system.

Abstract: This disclosure relates to an apparatus for object detection. The apparatus comprises a video camera, an object detector, and a controller. The video camera may be configured to generate a video stream of frames. The object detector may be configured to accept the video stream as input data and to perform object detection. The controller may be coupled to the video camera and the object detector. The controller may be configured to manage object detection in order to satisfy a performance metric and/or operate within an operational constraint.

Abstract: Systems, methods, and data storage devices for image grouping in an end user device using trained machine learning group classifiers are described. The end user device may include an image group classifier configured to classify new image data objects using an image classification algorithm and set of machine learning parameters previously trained for a specific image group. The end user device may determine embeddings that quantify features of the target image object and use those embeddings and the image group classifier to selectively associate group identifiers with each new image data object received or generated by the end user device. Calibration, including selection and training, of the image group classifiers and ranking of classified images are also described.

Abstract: Systems, methods, and data storage devices for image grouping in an end user device using trained machine learning group classifiers are described. The end user device may include an image group classifier configured to classify new image data objects using an image classification algorithm and set of machine learning parameters previously trained for a specific image group. The end user device may determine embeddings that quantify features of the target image object and use those embeddings and the image group classifier to selectively associate group identifiers with each new image data object received or generated by the end user device. Calibration, including selection and training, of the image group classifiers and ranking of classified images are also described.

Abstract: An archival data storage system library includes magnetic-recording disk media, a storage enclosure in which the media are housed, data storage devices (DSDs) configured to write to and read from the media, an automated disk handling mechanism configured to transfer at least some of the media between the storage enclosure and the DSD, and a hermetic enclosure containing the foregoing components. The storage system may further include a gas circulation system for filtering contaminants from the hermetic enclosure. Such a storage system may be implemented as a rack-mountable unit, or as an entire cleanroom facility, as well as in intermediate form factors between those. In the context of a cleanroom storage system, the system may further include an automated disk handling shuttle to receive the media from the disk handling mechanism and an automated disk loading mechanism for accessing the media from the shuttle for installing into the DSD.

Abstract: A digital video camera architecture for updating an object identification and tracking model deployed with the camera is disclosed. The invention comprises optics, a processor, a memory, and an artificial intelligence logic which may further comprise artificial neural networks. The architecture identifies objects according to a first confidence threshold of the model and identifies candidate objects according to the first confidence threshold and a second confidence threshold. The model may track the motion of the candidate objects within a visual field, separate the candidate objects into false positive candidate objects and false negative candidate objects according to their tracked motions, and present at least a portion of the false positive candidate objects and false negative candidate objects for further annotation.

Abstract: A digital video camera architecture for updating an object identification and tracking model deployed with the camera is disclosed. The invention comprises optics, a processor, a memory, and an artificial intelligence logic which may further comprise artificial neural networks. The architecture may identify objects according to a confidence threshold of a model. The confidence threshold may be monitored over time, and the model may be updated if the confidence threshold drops below an acceptable level. The data for retraining is ideally generated substantially internal to the camera. A filter is generated to process the entire field data set stored on the camera to create a field data subset also stored on the camera. The field data subset may be run through the model to generate cases that may be used in further monitoring, training, and updating of the model.

Abstract: A removable disk clamp assembly for mounting disk media on a motor-driven spindle of a magnetic read-write device includes a disk clamp and a mechanism for generating a predetermined force to press the disk media to a flange of the spindle such that the predetermined force can be repeatedly overcome by an applied counterforce to remove the disk clamp from engagement with a hub of the spindle. Such a mechanism may include a spring-loaded removable disk clamp assembly or a magnetic removable disk clamp assembly, and whereby a vacuum-driven chuck may be employed for disk and clamp handling purposes, all of which are suitable for implementation and use in a read-write device configured for use in an archival data storage system library such as in a cleanroom storage system.

Abstract: A magnetic read-write device includes a disk spindle on which disk media are rotatably mounted, an enclosure in which the spindle is housed, an opening/closing mechanism such as a cover configured for opening to provide access to the spindle and for closing to contain particles that may be generated during operation of the device, and a seal configured for sealing the enclosure when the opening/closing mechanism is closed. The device may further include a pre-loaded hinge coupling the cover with the enclosure, and a loading mechanism such as a spring coupled with the hinge and configured for biasing the cover to a closed position and for applying a sealing force to the seal at an interface of the cover and the enclosure. This type of device may be implemented for use in an archival data storage system library such as in a cleanroom storage system.