Oftentimes a site owner requires onsite capture devices (e.g., still or video cameras, microphones) for reasons of security, increasing revenue (e.g., streaming content to subscribed users), or otherwise. In the current state of the art various capture devices come from a variety of vendors and are often only adapted to work with software from the same manufacturer. It can be frustrating for a site owner to attempt to cobble together a capture and distribution system from individual parts and devices. Discussed herein is an approach to producing a capture and distribution system customized to an owner's particular needs and a site's particular characteristics in which capture devices are at least partially factory wired, aimed, and commissioned so to reduce both time on site to install of said capture devices and potential errors in the installation, and in a manner that in at least some cases adds value for the owner.

A system and method are provided for aiding an operator in operating a vehicle. In one embodiment, a system includes a sensor system configured to generate sensor data sensed from an environment of the vehicle. The system further includes a control module configured to, by a processor, generate a bowl view image of the environment based on the sensor data, identify at least one of a double object and a missing object in the bowl view image, generate a second bowl view image of the environment by re-stitching the sensor data based on the at least one of double object and missing object, and generate display data based on the second bowl view image.

An apparatus including a custom mounting bracket, an adapter plate and a base. The custom mounting bracket may comprise a first piece configured to be secured to an electrical junction box of a wall and a second piece comprising threaded pins. The adapter plate may comprise an interface configured to connect to an AC supply and enable a light fixture to be mounted to the custom mounting bracket and the adapter plate. The adapter plate may comprise a power adapter configured to provide the AC supply to the light fixture and convert the AC supply to a DC source. The base may comprise a circuit configured to receive the DC source and generate video data. The base may be configured to slide in and out of the adapter plate to adjust a distance between the adapter plate and the base.

Image security is becoming an increasingly important issue with the progress of deep learning based image manipulations, such as deep image inpainting and deep fakes. There has been considerable work to date on detecting such image manipulations using better and better algorithms, with little attention being paid to the possible role hardware advances may have for more powerful algorithms. This disclosure proposes to use a focal stack camera as a novel secure imaging device for localizing inpainted regions in manipulated images. Applying convolutional neural network (CNN) methods to focal stack images achieves significantly better detection accuracy compared to single image based detection.

A drone includes a frame and a plurality of motors attached to the frame. Each motor of the plurality of motors is connected to a respective propeller located below the frame. A tail motor is attached to the frame. The tail motor is connected to a tail propeller located above the frame. Cameras are attached to the frame and located above the frame. The cameras have fields of view extending over the plurality of propellers.

An image sensor is positioned such that a field-of-view of the image sensor encompasses at least a portion of a rack storing items. The image sensor generates angled-view images of the items stored on the rack. A tracking subsystem determines that a person is within a threshold distance of the rack and receives image frames of the angled-view images. A pixel position of a wrist of the person is determined in at least a subset of the received image frames, thereby determining a set of pixel positions of the wrist. An aggregated wrist position is determined based on the set of pixel positions. If the aggregated wrist position is determined to correspond to a position on a shelf of the rack, a trigger signal is provided indicating a shelf-interaction event has occurred.

An image sensor is positioned such that a field-of-view of the image sensor encompasses at least a portion of a rack storing items. The image sensor generates angled-view images of the items stored on the rack. A tracking subsystem determines that a person is within a threshold distance of the rack and receives image frames of the angled-view images. A pixel position of a wrist of the person is determined in at least a subset of the received image frames, thereby determining a set of pixel positions of the wrist. An aggregated wrist position is determined based on the set of pixel positions. If the aggregated wrist position is determined to correspond to a position on a shelf of the rack, a trigger signal is provided indicating a shelf-interaction event has occurred.

Some embodiments are directed to a biometric authentication system including headwear having a plurality of biosensors each configured to sample muscle activity so as to obtain a respective time-varying signal, a data store for storing a data set representing characteristic muscle activity for one or more users, and a processor configured to process the time-varying signals from the biosensors in dependence on the stored data set so as to determine a correspondence between a time-varying signal and characteristic muscle activity of one of the one or more users, and in dependence on the determined correspondence, authenticate the time-varying signals as being associated with that user.

Some embodiments are directed to a biometric authentication system including headwear having a plurality of biosensors each configured to sample muscle activity so as to obtain a respective time-varying signal, a data store for storing a data set representing characteristic muscle activity for one or more users, and a processor configured to process the time-varying signals from the biosensors in dependence on the stored data set so as to determine a correspondence between a time-varying signal and characteristic muscle activity of one of the one or more users, and in dependence on the determined correspondence, authenticate the time-varying signals as being associated with that user.

This present disclosure relates to a subject recognition method and apparatus, an electronic device, and a computer-readable storage medium. The method includes: obtaining a current image frame and detecting whether there is a moving subject in the current image frame; when there is no moving subject in the current image frame, obtaining a motion state transition condition; when the current image frame satisfies the motion state transition condition, obtaining a target subject in a previous image frame; and determining a target subject in the current image frame based on the target subject in the previous image frame.