Aspects of the technology described herein detect visible abnormalities within a webpage or other document. The technology improves computing accuracy by identifying data and/or programing errors that cause the abnormalities. The abnormalities are detected through image analysis of portions of a document. Initially, a portion of a webpage associated with a particular feature is identified and then converted to a digital image. The digital image can capture the website as it would appear to a user viewing the website, for example, in a web browser application. The image is then analyzed against an established feature-pattern for the feature to determine whether the image falls outside of a normal range. When the image of a portion of the webpage falls outside of the normal range, a notification can be communicated to a person associated with the webpage, such as a system administrator.

Sharing video footage recorded by audio/video (A/V) recording and communication devices, such as video doorbells and security cameras. When an A/V recording and communication device records video footage of suspicious activity, or even criminal activity, a user viewing the footage may alert his or her neighbors by sharing the video. In various embodiments, the user may share the video with anyone of the user's choosing, including neighbors, friends, and family.

Contextual parameters of digital media content may be obtained. The digital media content may be associated with a content capture user and/or an end user. Editing parameters defining one or more editing attributes of an edited version of the digital media content may be received. Post-capture user profiles may be obtained. A set of post-capture users may be identified as potential matches for creating the edited version of the digital media content. The set of post-capture users may be presented to the content capture user and/or the end user for selection of one of the post-capture users to create the edited version of the digital media content. In response to the selection, a shipping label may be generated for shipment of the digital media content from an origin address associated with the content capture user and/or the end user to a destination address associated with the selected post-capture user.

Systems and methods are described herein for analyzing the application of adhesives. An adhesive comprising a fluorescent property is applied to a component. The component is illuminated using one or more of wavelengths of light from a light source, wherein the adhesive is configured to absorb the one or more wavelengths of light and fluoresce in response. An image of the component is captured using a camera while the component is illuminated using the light source. One or more fluorescence characteristics from the image are determined and a state of the applied adhesive is determined based on the one or more fluorescence characteristics.

An electronic device may include control circuitry, sensors, and wireless circuitry having antennas. The sensors may generate sensor data that is used by the control circuitry to identify an operating environment for the device. The sensor data may include a grip map generated by a touch-sensitive display, infrared facial recognition image signals or other image signals, an angle of arrival of sound received by a set of microphones, impedance data from an impedance sensor, and any other desired sensor data. The control circuitry may use the sensor data, radio-frequency spatial ranging data, information about whether audio is being played over an ear speaker, and/or information about communications protocols in use to identify the operating environment. The control circuitry may adjust antenna settings for the wireless circuitry based on the identified operating environment to ensure that the antennas operate with satisfactory antenna efficiency regardless of operating conditions.

An electronic device may include control circuitry, sensors, and wireless circuitry having antennas. The sensors may generate sensor data that is used by the control circuitry to identify an operating environment for the device. The sensor data may include a grip map generated by a touch-sensitive display, infrared facial recognition image signals or other image signals, an angle of arrival of sound received by a set of microphones, impedance data from an impedance sensor, and any other desired sensor data. The control circuitry may use the sensor data, radio-frequency spatial ranging data, information about whether audio is being played over an ear speaker, and/or information about communications protocols in use to identify the operating environment. The control circuitry may adjust antenna settings for the wireless circuitry based on the identified operating environment to ensure that the antennas operate with satisfactory antenna efficiency regardless of operating conditions.

An ophthalmologic apparatus of an embodiment example includes a front image acquiring device, a first search processor, and a second search processor. The front image acquiring device is configured to acquire a front image of a fundus of a subject's eye. The first search processor is configured to search for an interested region corresponding to an interested site of the fundus based on a brightness variation in the front image. The second search processor is configured to search for the interested region by template matching between the front image and a template image in the event that the interested region has not been detected by the first search processor.

The present disclosure discloses a display substrate and a display device. The display substrate includes: a base substrate; a plurality of light emitting devices, located on the base substrate; a plurality of photosensitive devices, located between a layer where the plurality of light emitting devices are located and the base substrate; a plurality of color resistors and a black matrix, located on a side of the layer where the plurality of light emitting devices are located facing away from the base substrate; a touch control structure, located between the layer where the plurality of light emitting devices are located and a layer where the black matrix is located; and an ultrathin glass cover plate, a whole face of which being disposed on a side of the layer where the black matrix is located facing away from the base substrate.

A method of characterizing a serum and plasma portion of a specimen in regions occluded by one or more labels. The characterization may be used for determining Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N) of a serum or plasma portion of a specimen. The method includes capturing one or more images of a labeled specimen container including a serum or plasma portion, processing the one or more images with a convolutional neural network to provide a determination of Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N). In further embodiments, the convolutional neural network can provide N′-Class segmentation information. Quality check modules and testing apparatus adapted to carry out the method are described, as are other aspects.

An object recognition apparatus includes a first spectrometer configured to obtain a first type of spectrum data from light scattered, emitted, or reflected from an object; a second spectrometer configured to obtain a second type of spectrum data from the light scattered, emitted, or reflected from the object, the second type of spectrum data being different from the first type of spectrum data; an image sensor configured to obtain image data of the object; and a processor configured to identify the object using data obtained from at least two from among the first spectrometer, the second spectrometer, and the image sensor and using at least two pattern recognition algorithms.