Abstract: A luminous motor-vehicle module including in a first light source, and a first reflective surface that is configured to collect and reflect the light rays emitted by the first light source into a first light beam, a second light source and a second reflective surface that is configured to collect and reflect the light rays emitted by said second light source into a second light beam, and an optical system configured to project the first and second light beams; the first and second light sources emitting the light rays in the same direction, the first and second reflective surfaces are offset along the optical axis and the optical system is configured to form an image of the second reflective surface.

Abstract: Described are visible light absorbing compounds. The compounds have a visible light absorption maximum between 430 and 480 nm and a full width half maximum (FWHM) at the visible light absorption maximum of at least 35 nm and up to 100 nanometers, wherein the compounds are photostable. The compounds substantially mimic the visible light absorbance properties of macular pigment while remaining photostable. The compounds may be used in a variety of articles, including ophthalmic devices.

Abstract: A system can use a video analytic algorithm and/or other input parameters to identify an event (e.g., theft). Optionally, the system can take action in response. For example, the security system can use video analytics to determine that a person has reached into a shelf multiple times at a rate above a threshold, which can indicate that a thief is quickly removing items from the shelf. A monitoring system can monitor other areas for breaches, such as an entrance to a store or residence. Monitoring entrances and/or exits can be used to determine occupancy, or to determine rush events to prompt customer service action, such as opening additional point of sale stations.

Abstract: Systems and methods are provided for navigating an autonomous vehicle. In one implementation, a system includes a processing device programmed to receive a plurality of images representative of an environment of the host vehicle. The environment includes a road on which the host vehicle is traveling. The at least one processing device is further programmed to analyze the images to identify a target vehicle traveling in a lane of the road different from a lane in which the host vehicle is traveling; analyze the images to identify a lane mark associated with the lane in which the target vehicle is traveling; detect lane mark characteristics of the identified lane mark; use the detected lane mark characteristics to determine a type of the identified lane mark; determine a characteristic of the target vehicle; and determine a navigational action for the host vehicle based on the determined lane mark type and the determined characteristic of the target vehicle.

Abstract: The present disclosure provides a rear shell of a display device, including a rear shell body. The rear shell body includes an accommodation cavity for accommodating a loudspeaker, the accommodation cavity has a first opening, the rear shell body further includes a cover plate for blocking the first opening, and the cover plate is provided with a sound outlet hole. The present disclosure further provides the display device. The loudspeaker is accommodated in the accommodation cavity of the rear shell rather than the whole machine, so as to prevent the occurrence of resonance.

Abstract: A lens unit, a lens for a low-beam illumination module, a low-beam illumination module and a vehicle. The lens unit includes a rear surface and a front surface; the lens unit has a focal line, and the focal line is a straight line perpendicular to a light emitting direction of the lens unit; the rear surface and the front surface are adapted to project light rays passing through the focal line into parallel light rays, and the front surface is a free-form curved surface. The lens unit has the optical characteristics of a cylindrical lens, and is able to cause parallel incident light to be focused into a line instead of a focal point upon passing through the lens unit.

Abstract: The present invention relates to copolymers, particularly to copolymers comprising a photoactive unit, the copolymers being particularly suitable for ophthalmic devices. The copolymers include one or more different polymer units in addition to the photoactive unit, such as polymerized units derived from ethylene, propylene, an acrylate, a methacrylate, or a styrene.

Abstract: There is provided a system configured to trigger system configured to trigger a function, said system comprising: at least one actuator that is associated with said function; an image capturing sensor; a computing device comprising a data processor, and a computer program product comprising a machine learning model trained for detecting an intent of a person to operate said at least one actuator, wherein said computer program product when running on said data processor: receives at least one image from said image capturing sensor; analyzes said at least one image, the analyzing comprises: subjecting said at least one image to said machine learning model; detecting presence of said intent to operate said at least one actuator in said at least one image, and triggers said function upon detecting said intent.

Abstract: The invention relates to a method for training a machine learning model to identify a subject having at least one machine readable identifier providing a subject ID, said method comprising: providing a computer vision system with an image capturing system comprising at least one image capturing device, and a reader system comprising at least one reader for reading said at least one machine readable identifier; defining said machine learning model in said computer vision system; capturing a first image using said image capturing system, said first image showing said subject; reading said subject ID using said reader system when capturing said first image, and linking said subject ID with said first image, said linking providing said first image with a linked subject ID, providing a first annotated image; capturing at least one further image showing said subject, linking said linked subject ID to said at least one further image providing at least one further annotated image, and subjecting said first annotat

Abstract: An assembly for mounting an electronic device, includes: a base, a mounting support for mounting the electronic device, and an arm connecting the base and the mounting support, wherein the arm includes: a front locker configured to be coupled to a joint of the mounting support; a rear locker configured to be coupled to the base; a pusher having a front inclined surface in contact with the front locker and a rear inclined surface in contact with the rear locker; and a housing accommodating the front locker, the rear locker, and the pusher.

Abstract: A stroboscopic stepped illumination defect detection system for appearance defect detection of a product is provided. The system includes an image extraction unit, a brightness adjustment unit, a data processing unit, and a stroboscopic control unit. The image extraction unit is connected to the stroboscopic control unit and used for obtaining stable and clear images in various transmission/reflection visual bright fields/dark fields; and the brightness adjustment unit is connected to the stroboscopic control unit and used for setting various transmission/reflection visual bright fields/dark fields and converting in the various transmission/reflection visual bright fields/dark fields.

Abstract: The present invention relates to method of localisation for devices. More particularly, it relates the use of both local and remote resources to provide substantially real time localisation at a device. According to an aspect, there is provided a method of determining a location of a device having one or more sensors comprising the steps of: sending a localisation request to a server system, the localisation request comprising at least a portion of data from the one or more sensors; receiving localisation data from the server system in response to the localisation request; and determining a location of the device from the received localisation data. Optionally, the method includes the further step of estimating a location of the device based on data from the one or more sensors and wherein the step of determining a location of the device includes determining the location of the device using the estimated location.

Abstract: A lighting device for a vehicle, the lighting device being configured to perform at least one lighting function and including a screen and at least one light source. The screen has an output face, at least one light guide, and a support for the at least one light guide, and in that the at least one light guide is configured to transmit light rays in the direction of the output face, the light rays being from light rays emitted by the at least one light source and coupled to the at least one light guide, the at least one light guide being injection-molded along with the support.

Abstract: A distance measurement apparatus including: a control unit that controls a projection state of light based on a detection result of a target object; a light projection unit that projects light controlled by the control unit onto the target object; and a processing unit that determines a distance to the target object based on a detection result of reflected light. With this, it is possible to accurately project the light onto the target object and determine the distance to the target object by: controlling the projection state of the light based on the detection result of the target object to project the light onto the target object; and determining the distance to the target object based on the detection result of the reflected light.

Abstract: The present application discloses an ultra-micro defect detection apparatus and a detection method thereof. The apparatus includes an imaging module, a light source module, a filtering module, and a mounting platform; the imaging module further includes a camera, an imaging lens, and an objective lens; the camera, the imaging lens, and the objective lens are sequentially and vertically arranged from top to bottom; the light source module further includes a collimator, a light source generator, and a beam splitting mirror; the light source generator is connected to the beam splitting mirror, and the collimator is mounted between the light source generator and the beam splitting mirror; the filtering module further includes a spatial filter, and the spatial filter is mounted between the imaging lens and the objective lens.

Abstract: Provided are an automatic video editing method and a portable terminal, the method comprising: obtaining a video to be edited; extracting key frames of the video to be edited; inputting the key frames to a pre-trained scene classification method and a pre-trained target detection method, and respectively obtaining scene type markers and target object markers of the key frames; selecting multiple video segments from the video to be edited which satisfy preset editing criteria; respectively calculating average scores of the multiple video segments by means of a pre-trained image quality scoring method; respectively obtaining the video segment having the highest average score of each shot type for splicing.

Abstract: Generally, a system including an imaging device and a processing unit is disclosed. The imaging device may be configured to acquire a plurality of datasets of corresponding plurality of image frames by performing corresponding plurality of image frame handling cycles. The processing unit may be configured to define a special region of interest (SROI) in each of at least some of the plurality of the image frames acquired by the imaging device, based on the datasets of the respective image frames. The imaging device may be further configured to acquire at least one partial dataset of the SROI, during each of at least some of the plurality of image frame handling cycles and within a residual time between an end of an image frame acquiring time and an end of the respective image frame handling cycle.

Abstract: Systems and methods are provided for navigating an autonomous vehicle. In one implementation, a navigational system for a host vehicle may include at least one processor programmed to: receive a stream of images captured by a camera onboard the host vehicle, wherein the captured images are representative of an environment surrounding the host vehicle; and receive an output of a LIDAR onboard the host vehicle, wherein the output of the LIDAR is representative of a plurality of laser reflections from at least a portion of the environment surrounding the host vehicle.

Abstract: Apparatuses, storage media and methods associated with computer assisted driving (CAD), are disclosed herein. In some embodiments, an apparatus includes an autopilot engine to automatically pilot the vehicle out of a potential emergency situation, including to automatically pilot the vehicle for a period of time in view of a plurality of operational guardrails determined in real time for each of a plurality of timing windows; and a mitigation unit to conditionally activate the autopilot engine, including to activate the autopilot engine in response to analysis results indicative of the vehicle being potentially operated into the emergency situation manually. Other embodiments are also described and claimed.