Abstract: A device is disclosed which includes a processor, a screen, and either or both of a camera and a microphone. The device may receive input related to a waste item, identify the waste item, classify a disposal type for the waste item, and provide a suggestion for disposing of the waste item.

Abstract: Methods for performing improving facial recognition of a driver in a vehicle are disclosed. A set of images is received. Each of the set of images includes a portion that is identified as a face. The identification is based on an application of a first machine-learned model to each of the set of images. The application of the first machine-learned model is performed by an application associated with a client camera device mounted in a vehicle. Based on a determination that the set of images matches one or more reference images stored in a database with a confidence level that is equal to or greater than a confidence threshold, a person corresponding to the one or more reference images is associated as a driver of the vehicle during a time period in which the set of images was captured.

Abstract: Apparatuses and methods for displaying a 3-D representation of an object are described. Apparatuses can include a rotatable structure, motor, and multiple light field sub-displays disposed on the rotatable structure. The apparatuses can store a light field image to be displayed, the light field image providing multiple different views of the object at different viewing directions. A processor can drive the motor to rotate the rotatable structure and map the light field image to each of the light field sub-displays based in part on the rotation angle, and illuminate the light field sub-displays based in part on the mapped light field image. The apparatuses can include a display panel configured to be viewed from a fiducial viewing direction, where the display panel is curved out of a plane that is perpendicular to the fiducial viewing direction, and a plurality of light field sub-displays disposed on the display panel.

Abstract: Disclosed herein are a point cloud data transmission method including encoding point cloud data and transmitting the point cloud data, and a point cloud data reception method including receiving point cloud data, decoding the point cloud data, and rendering the point cloud data.

Abstract: A distance estimating method and apparatus are provided. The method includes acquiring a real target length corresponding to target points of an object, calculating, from an input image, an image target length corresponding to the real target length, and estimating a distance from a distance estimating apparatus to the object, based on the real target length, the image target length, and a focal length thereof.

Abstract: The invention relates to a system and method for detecting high risk sleeping position of an infant relating to Sudden Infant Death Syndrome (SIDS). The invention utilizes a deep learning model for detecting sleeping position of the infant, alerting the caregiver and further refining the deep leaning model based on the caregiver's feedback for future infant sleeping positions. The system retrains the deep learning model based on the captured feedback from the caregiver to reduce false negatives and permit false positives. The invention thereby proposes a new non-intrusive but failsafe mechanism to monitor the babies in the crib and uses commonly available hardware to achieve the same. The system can leverage multiple channels of communication to ensure that latency in any channel do not defeat the purpose of the system.

Abstract: A surveillance system (1) includes an area information acquisition unit (101), a position information acquisition unit (102), a candidate determination unit (103), and a notification unit (104). The area information acquisition unit (101) acquires information of a surveillance-desired area. The position information acquisition unit (102) acquires pieces of position information of a plurality of portable terminals (20), each portable terminal performing surveillance using an image capturing unit. The candidate determination unit (103) determines a candidate portable terminal (20) to be moved to the surveillance-desired area from among the plurality of portable terminals (20) based on the acquired pieces of position information of the plurality of portable terminals (20). The notification unit (104) outputs a notification to the candidate portable terminal requesting to move to the surveillance-desired area.

Abstract: A digital image measurement device and method for the surface deformation of specimen based on sub-pixel corner detection is disclosed. This digital image measurement device is composed of a new type of image pressure cell, a complementary metal-oxide-semiconductor (CMOS) camera, a camera bracket, a flexible lens hood, a computer and matching measurement software. This method discretizes the specimen into several four-node finite elements by printing grids on the specimen and takes corners of the grids as the nodes of the finite elements; tracks the deformation of the feature points in real time by edge detection and corner detection based on sub-pixel; captures the deformation of the whole surface of the specimen by the two flat mirrors which are at an 120° angle behind the specimen; achieves the observation of the deformation of the whole surface by conducting splicing and error correction on the three images.

Abstract: An imaging control method includes receiving a starting instruction including a flight mode of an unmanned aerial vehicle (“UAV”). The imaging control method also includes controlling the UAV to fly autonomously based on the flight mode. The imaging control method also includes obtaining, in the flight mode, location information of a target object, and obtaining orientation information of the target object relative to the UAV based on the target object recognized from an image captured by an imaging device carried by a gimbal mounted on the UAV. The imaging control method further includes controlling a flight path of the UAV based on the location information and the flight mode, controlling an attitude of the gimbal to render the target object to appear in the image, and controlling the imaging device to record a video in the flight mode, and to transmit video data to a terminal.

Abstract: A video decoder system, in one embodiment, includes one or more processors and a memory storing instructions that when executed by the one or more processors cause the video decoding system to perform an entropy decoding operation in a frame level pipelined manner on a bitstream representative of encoded video data to produce first output data, perform at least one of an inverse quantization operation or an inverse frequency transform operation in a row level pipelined manner on the first output data to produce second output data, perform a deblocking filtering operation on first input data that includes the second output data in a row level pipelined manner to produce third output data, and output a decoded video output based on the third output data.

Abstract: Apparatus and methods disclosed herein operate to monitor times of receipt of start-of-frame indications associated with frames received from multiple image sensors at a video controller. Time differences between the times of receipt of the frames are calculated. Embodiments herein alter one or more frame period determining parameter values associated with the image sensors if the time differences equal or exceed frame synchronization hysteresis threshold values. Parameter values are adjusted positively and/or negatively to decrease the time differences. The parameter values may be reset at each image sensor when the time differences become less than the frame synchronization hysteresis threshold value as additional frames are received at the video controller.

Abstract: The present invention is directed to a system and method including a firearm detection device that operates silently to identify a firearm or bullet stored in the barrel of the firearm. Utilizing a camera as well as one or more characteristics of the individual carrying the firearm whereby once scanned, the system may send an alert to the proper authorities, with the system utilizing exemption tags to properly identify authorities or other entities that are not threats as well as provide other utilities useful during an emergency situation.

Abstract: A rear-view mirror and modular monitor system and method include an interior mirror that embeds a modular monitor behind see-through mirror glass. In some embodiments, the system includes multiple cameras, some in the vehicle, bus and/or truck, as well as some cameras outside the vehicle, bus and/or truck, advantageously providing the driver an opportunity to view what is happening, for example, in the back rows of the bus and/or cabin, while also using the mirror to look at objects in the bus and/or cabin that are visible using the mirror. The rear-view mirror and modular monitor system is configured to be easily assembled and/or disassembled when necessary for maintenance and/or to replace parts.

Abstract: A method, computer readable medium, and system are disclosed for identifying residual video data. This data describes data that is lost during a compression of original video data. For example, the original video data may be compressed and then decompressed, and this result may be compared to the original video data to determine the residual video data. This residual video data is transformed into a smaller format by means of encoding, binarizing, and compressing, and is sent to a destination. At the destination, the residual video data is transformed back into its original format and is used during the decompression of the compressed original video data to improve a quality of the decompressed original video data.

Abstract: Methods of identifying a flying object using digital imaging that may include: obtaining data of a propagating wavefield through a propagating volume that includes a volume above the earth's surface; obtaining a reference digital image of the propagating volume; selecting a holographic computational method of wavefield imaging; selecting a wavefield based on one or more parameters; calculating a sampling ratio by dividing a number of data samples in the data subset by a number of image samples in the data subset; decimating the data subset; generating a new digital image based on the selected holographic computational method of imaging, the decimated data subset, and parameters corresponding to the data subset; and determining a quantitative difference measure between the reference digital image and the new digital image, and image quality.

Abstract: A multiple sensor endoscope system and a video processing method, wherein the system includes an endoscope having a plurality of daisy chained image sensors and a central control unit, is described. At least one daisy-chained image sensor includes a sensor array for capturing images and generating video packets from the captured images, a video compression unit configured to compress the video packets, a self-packet buffer configured to store the video packets, a serial-to-parallel de-serializer input unit configured to convert serialized input video packets to parallel data, a chain packet buffer configured to store the video packets received from previous-in-chain image sensors, an arbitration unit configured to interleave the stored video packets, and a serial output unit configured to output serially the interleaved video packets. The central control unit is configured to de-interleave the video packets and regenerate separated images as captured by the plurality of daisy chain image sensors.

Abstract: Methods of providing digital images of living tissue that may include: obtaining data of a propagating wavefield through living tissue; obtaining a reference digital image of the living tissue; selecting a holographic computational method of wavefield imaging; selecting a wavefield based on one or more parameters; calculating a sampling ratio by dividing a number of data samples in the data subset by a number of image samples in the data subset; decimating the data subset; generating a new digital image based on the selected holographic computational method of imaging, the decimated data subset, and parameters corresponding to the data subset; and determining a quantitative difference measure between the reference digital image and the new digital image based on the changing of one or more parameters selected from the group consisting of field sampling, imaging sampling, and image quality.

Abstract: A wearable digital video camera (10) is equipped with wireless connection protocol and global navigation and location positioning system technology to provide remote image acquisition control and viewing. The Bluetooth® packet-based open wireless technology standard protocol (400) is preferred for use in providing control signals or streaming data to the digital video camera and for accessing image content stored on or streaming from the digital video camera. The GPS technology (402) is preferred for use in tracking of the location of the digital video camera as it records image information. A rotating mount (300) with a locking member (330) on the camera housing (22) allows adjustment of the pointing angle of the wearable digital video camera when it is attached to a mounting surface.

Abstract: Systems and methods for physical asset inspection are provided. According to one embodiment, a probe is positioned to multiple data capture positions with reference to a physical asset. For each position: odometry data is obtained from an encoder and/or an IMU; a 2D image is captured by a camera; a 3D sensor data frame is captured by a 3D sensor, having a view plane overlapping that of the camera; the odometry data, the 2D image and the 3D sensor data frame are linked and associated with a physical point in real-world space based on the odometry data; and switching between 2D and 3D views within the collected data is facilitated by forming a set of points containing both 2D and 3D data by performing UV mapping based on a known positioning of the camera relative to the 3D sensor.

Abstract: A mechanism is described for facilitating defining of interoperability signaling and conformance points for the PCC standard in computing environments. A computing device of embodiments, as described herein, includes a decoder to decode a compressed bitstream of video data representing a point cloud, point cloud reconstructor circuitry to reconstruct a point cloud from the decoded patch video data, a syntax element parser to receive at least one syntax element representing interoperability signaling in the compressed bitstream to indicate the number of points in one or more pictures of the video data, and processing hardware to determine if the number of points in the one or more pictures of the compressed bitstream is within the conformance limits of the point cloud reconstructor circuitry.