494 results about "Ambient lighting" patented technology

The invention relates to the technical field of augmented reality and industrial safety monitoring, in particular to an AR glasses dangerous state dynamic labeling method and system based on multi-source perception, and the method comprises the steps: synchronously collecting data such as a depth image and gas concentration through multi-source equipment such as a depth camera and a gas sensor; extracting rotation invariant point cloud features through an improved dangerous target detection model, and fusing multi-modal data to generate a dynamic danger level; based on VIO, realizing accurate spatial registration of annotation and a real scene, and generating a self-adaptive annotation style according to a danger level; and multi-device labeling pose synchronization is realized through an entropy weighting ICP algorithm, and labeling transparency and size are dynamically optimized in combination with a user fatigue value and environment illumination. According to the method, the comprehensiveness of danger identification and the accuracy of marking are improved, team collaborative operation is supported, the method is suitable for scenes such as electric power inspection and dangerous chemical transportation, and the operation safety and efficiency are guaranteed.

The invention provides a roof leakage point intelligent positioning method and system based on machine vision, and relates to the technical field of constructional engineering detection.The method comprises the steps that 1, roof image data and surface texture, temperature field and environment illumination parameters are collected through a visible light and infrared thermal imaging two-channel sensing device, a multi-dimensional data set is constructed, and a multi-dimensional data set is established; generating visual data through dynamic range correction based on the multi-dimensional data set; step 2, based on visual data, performing detection area division on the acquired image, extracting a local temperature difference gradient, a surface texture abrupt change rate and a liquid flow track parameter, and establishing a multi-index characteristic matrix; according to the method, the features of the roof image are extracted through machine vision, intelligent positioning, risk grade division and dynamic evolution tracking of roof leakage points are realized, and the leakage positioning accuracy is improved.

The invention relates to the technical field of face recognition, in particular to an intelligent construction site face recognition attendance supervision and management system and management method. Comprising a binocular living body detection camera, an identity card reader, an IC / ID card reader, an infrared monitoring sensor and a gate acceleration sensor; the dynamic weight calculation module is used for dynamically adjusting the weight parameter of the face matching degree according to the living body detection result, the human-certificate comparison data and the environment illumination condition; the malicious gate rushing judgment module is used for generating a gate rushing risk value based on gate acceleration sensor data, infrared monitoring border crossing behaviors and continuous face recognition failure times; the attendance data optimization module is used for analyzing and correcting the confidence coefficient of attendance records through a historical recognition success rate and a time sequence; according to the invention, safety management requirements in complex scenes can be met.

The invention discloses a method and system for generating a visual special effect video, and relates to the technical field of video generation, and the method comprises the steps: carrying out the collection and preprocessing of multi-modal data, synchronously collecting an RGB video, a depth map and environment illumination data, and generating a registered 3D point cloud; carrying out time-space domain combined motion compensation image matting, and extracting a moving object Alpha mask; by means of edge purification of self-adaptive illumination separation, illumination pollution and edge color overflow of a green screen scene are eliminated; the multi-scale transparency estimation network outputs a transparency graph; dynamic special effect synthesis and output guarantee video fluency; and the special effect video is intelligently recommended, and a self-adaptive output strategy is realized. The image matting and edge processing precision is improved, the transparency estimation and special effect synthesis effect is enhanced, intelligent recommendation and resource optimization are realized, and the defects in dynamic scene processing in the prior art are overcome.

Autonomous aerial vehicle technology and, more specifically, environmental illumination for autonomous unmanned aerial vehicles involves, in some embodiments, a UAV including upward-facing image capture devices, downward-facing image capture devices, one or more illumination sources, and a computer system. The computer system is configured to direct the one or more illumination sources to selectively emit light into a surrounding physical environment while the UAV is in flight, process images captured by any one or more of the plurality of upward-facing image capture devices or the plurality of downward-facing image capture devices to estimate a position and / or orientation of the aerial vehicle, generate a planned trajectory for the aerial vehicle through a physical environment based on the processing of the images, and control a propulsion system and / or flight surface of the aerial vehicle to cause the aerial vehicle to autonomously maneuver along the planned trajectory.

The invention discloses a multi-scene gait monitoring and motion function assessment method and system, a multi-camera cooperation system is deployed in a life scene to accurately identify an identity and extract multi-scene motion features, and an accurate old people gait function assessment scheme is provided through key motion hierarchical modeling, multi-scene data fusion and a risk suppression mechanism. Specifically, 2D human body key points are estimated based on an OpenPose algorithm, and a PoseLifter model is utilized to lift the 2D key points to 3D, so that a three-dimensional motion track of a target is estimated; dynamically adjusting the weights of the face features and the skeleton features during identity recognition according to ambient light; designing an independent long-short-term memory network for different actions to evaluate the motion function score and the fall risk rating of the actions; and designing a risk sensitivity mechanism and fusing multi-scene data to carry out comprehensive scoring. The gait function abnormity of the old people can be found in time, and a basis is provided for health management.

A method and system for eliminating 2D features from planar surfaces in 2D images. Three digital images are taken, from a single camera at a fixed position, of a subject such as a pallet of boxes. One image (IA) is taken with ambient lighting, one image (I1) has ambient lighting plus a first added light source, and one image (I2) has ambient lighting plus a second added light source. An output image Q is then computed by Q=(I1−IA) / (I2−IA). Subtracting the ambient image removes ambient diffuse and specular reflections. Division eliminates all variations in the output image caused by color. The only variations that remain are those due to the angle between each surface point's normal direction and the direction from the light to that point. The output image Q, devoid of all colors and 2D features, is well suited for computing a robot grasp of an object in the image.

The invention relates to the technical field of inspection, in particular to an AI intelligent agent-based inspection method, equipment and system, and the method comprises the steps: obtaining a target region image of a to-be-inspected region, determining an abnormal region according to the target region image, generating a bidding request under the condition that the environment illumination condition of the abnormal region does not meet a preset condition, the bidding request comprises illumination demand information of an abnormal area and an area position of the abnormal area, sending the bidding request to a plurality of second devices, when bidding information generated by the second devices according to the bidding request is received, determining a target device from the plurality of second devices according to the bidding information, and sending a task execution instruction to the target device, and the target device provides illumination for the abnormal area according to the area position and the illumination demand information. By transferring the illumination energy consumption of the first equipment, the endurance time of the first equipment can be prolonged, the first equipment is prevented from being exposed, and the illumination requirement can be met to the maximum extent.

The invention relates to the technical field of video communication, in particular to an intelligent AI glasses video call auxiliary system which comprises a visual adjustment module, a voice interaction module, a communication scheduling module, a posture recognition module and a feedback prompt module. According to the invention, by acquiring the eye movement track and the pupil diameter change, adjusting the image brightness and the color contrast in combination with the ambient light, relieving visual fatigue, enhancing the call comfort, analyzing the voice frequency band and matching the keywords, the accurate recognition of the operation intention is realized, the call response efficiency is improved, and the mistaken touch and delay are avoided; the call priority is judged according to the action state, the acceleration trend and the contact person weight, the task access accuracy is improved, the user intention is judged according to the head posture and the sight line trend, misoperation and repeated confirmation are avoided, interaction convenience is enhanced, meanwhile, the audio intensity and image prompt are regulated and controlled according to the task type and the prompt level, the multi-environment prompt requirement is met, and the user experience is improved. Information omission is reduced, and call experience is optimized.

A vehicle includes at least one exterior facing camera and a viewing screen in communication with a controller. The camera includes a red green blue (RGB) imaging sensor and a near infrared (NIR) imaging sensor. An ambient light sensor is disposed on the vehicle and detects a magnitude of ambient lighting in an exterior environment. The controller stores instructions for: Receiving a RGB image from the RGB imaging sensor at a time t, receiving a NIR image from the NIR imaging sensor at the time t, and receiving a lumens value of the ambient light at the time t. Preprocessing the RGB image into a processed RGB image using one of a plurality of preprocessing techniques dependent upon the lumens magnitude of the ambient lighting. Fusing the processed RGB image and the NIR image into a single viewing image using a neural network. Displaying the viewing image.

The present invention discloses a method and an apparatus for rebuilding a relightable implicit human body model. A human body is represented as a deformable implicit neural representation, and a geometric shape, material attributes, and ambient lighting of the human body are decomposed to obtain a relightable and drivable implicit human body model. In addition, a volumetric lighting grid including a plurality of spherical Gaussian models is introduced to represent complex lighting with spatial variation, and visible probes capable of changing in position with change in human pose are introduced to record dynamic self-occlusion caused by human motion. With the method, drivable implicit models capable of being used for high-fidelity human body relighting may be generated in cases of sparse video input and even monocular input.

The present technology addresses the need for color-consistent photos and videos by comparing a frame captured under ambient lighting and a frame captured using flash lighting to adjust the frame to appear as if the ambient lighting were substantially removed. Since the ambient lighting is the source of the inconsistent appearance of color, processing the frame to appear as if it were presented under consistent lighting conditions yields a color-consistent frame that can be more useful in the medical context or other contexts where consistent color is more important than ambiance created from ambient lighting. The present technology can also address unwanted shadows as well. Since the present technology adjusts the frame to appear as if the ambient lighting were substantially removed, the source of the lighting causing the shadows is also removed.

The invention relates to the technical field of image recognition, and discloses an image processing-based stain recognition and detection system, which comprises an image acquisition module, an environment sensing module, an optimization adjustment module and a stain recognition module, wherein the image acquisition module is used for acquiring a ground image; the environment sensing module is used for acquiring environment illumination conditions; an optimization adjustment module performs illumination compensation control on collection of the ground image based on the environment illumination condition; the optimization adjustment module performs shadow recognition and correction on the ground image based on the environment illumination condition; reference images of grounds made of different materials are stored in the stain identification module; the stain identification module performs stain identification detection based on the ground image and the reference image of the ground of the corresponding material; according to the invention, the recognition and detection efficiency of stains in the ground image is improved, and the image processing cost is reduced.

An exemplary system provides a display and a camera on the same side of a device. In some examples, instead of providing a stimulus with a flash of light, the system may utilize the user's eyelids to dark-adapt the pupil and mediate the stimulus using ambient light and / or the light from a display. Use of a front-facing display and front-facing camera further allows the disclosed system to control the ambient lighting conditions during image capture to ensure that additional pupillary stimulation does not occur while measuring the primary pupil response.

The invention discloses a real-time relighting method based on 2D Gaussian splashing and screen space light stepping, and the method comprises the following steps: collecting a multi-view image of an object model and a scene, and carrying out the initial reconstruction of the multi-view image through a motion recovery structure algorithm, so as to obtain an initial 2D Gaussian point cloud; obtaining a 2D Gaussian point cloud with complete geometric and material attributes; the method comprises the following steps: generating a geometric buffer area comprising depth, normal and material attributes based on a 2D Gaussian point cloud with complete geometric and material attributes, calculating a direct illumination result based on the geometric buffer area and an environment illumination map, calculating an indirect illumination result by adopting a screen space light stepping algorithm, and calculating a real-time illumination result. And synthesizing the direct illumination result and the indirect illumination result to output a real-time relighting result. According to the method, the technical problem that the existing relighting technology based on ray tracing cannot be real-time can be solved, and the rendering quality and the reality sense of relighting are improved through the global illumination of the screen space and the optimized illumination sampling strategy on the premise of ensuring the real-time performance.

The invention discloses a liftable island mechanism which comprises a lifting device, an atmosphere lamp assembly and a music fragrance assembly, the music fragrance assembly is installed in the atmosphere lamp assembly, and the bottom of the music fragrance assembly is connected with the lifting device. The lifting function, the atmosphere lamp function, the sound box function and the fragrance lamp function are integrated, and the functionality of the island mechanism is effectively improved.

The invention relates to the technical field of vehicles, in particular to a cooperative control method and device for a vehicle atmosphere lamp and welcome sound and a vehicle, and the method comprises the steps: reading a target welcome PCM audio file pre-stored in a write-protection data partition when the vehicle meets a welcome trigger condition, and controlling the target welcome PCM audio file to be played within a preset time, meanwhile, analyzing the target welcome PCM audio file by using a preset algorithm to obtain the audio frequency of the target welcome PCM audio file; and the audio frequency is converted into LIN data, and the atmosphere lamp control assembly is controlled to dynamically control the rhythm of the vehicle atmosphere lamp according to the LIN data. Therefore, the problems that the greeting effect is poor, the user experience is reduced and the like due to the fact that the greeting sound function and the vehicle atmosphere lamp work independently are solved, intelligent linkage of the greeting audio and the atmosphere lamp is achieved by customizing the greeting words and playing the PCM audio file, and therefore the personalized and differentiated experience of the vehicle is improved.

The invention relates to an ambient lighting device (1) comprising two lighting modules, each comprising a respective tubular light guide (110, 210) supplied, at one of its ends, referred to as the input end, by a corresponding light source, wherein each said guide comprises a linking segment that extends from its input end and is intended to be concealed behind a trim panel (3), and a useful segment that is intended to be arranged facing a respective portion of an elongate opening (2) provided in the panel, and wherein the guides intersect by overlapping one another at the junctions between their respective linking and useful segments, such that the useful segments form extensions of one another; the device further comprising a diffusing screen (400) arranged in front of the guides and having at least a first thickened region (420) located facing the region where the guides intersect.

Various versions of a customer-friendly smart dining table are disclosed for streamlining all processes and meeting customer needs and interests from food ordering to delivery directly on the table. The table may comprise an interactive interface capable of receiving touch-based inputs, voice-based inputs, or both from patron(s) and displaying output(s) respectively. The interface may comprise a feedback module to provide automated assistance to the patron(s) in food selection and customization of the menu, an order management module to allow the patron(s) to place food orders, a payment module to enable the patron(s) to complete payments directly from the table, a power management module to manage power usage and ambient lighting, and a leisure module to interact with various entertainment options. The interface may be capable of concurrently processing inputs from a plurality of patrons seated at the table.

A lens including a posterior surface, an anterior surface, and at least one identification marking on the lens. The at least one identification marking exhibits a first degree of visibility in an ambient lighting condition and a second degree of visibility greater than the first degree of visibility in a lighting condition different than the ambient lighting condition.

1. Name of the product in this design: LED ambient light. 2. Intended use of this design: for lighting and decoration. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model.

This invention discloses a multifunctional tea bar machine, comprising a main body, a drinking area at the top, a storage area at the lower interior, and a drive area at the upper interior. An installation cavity is formed on the upper side wall of the main body, housing an electronic mosquito repellent component. A mosquito repellent liquid outlet is located on one side wall above the installation cavity, and a negative ion outlet is located on the side wall adjacent to the mosquito repellent liquid outlet. An air inlet is located on the other side wall. This invention integrates drinking water, misting humidification, air purification, electronic mosquito repellency, and ambient lighting functions into one device. A single unit can meet multiple needs such as drinking water, indoor humidification, air purification, mosquito repellency, and lighting, eliminating the need for additional electrical appliances. It is convenient to use and highly practical.

The invention relates to a motor vehicle (10) comprising at least one ambient lighting device (12a, 12b, 12c, 12d, 12e, 12f), a first operating device (14) for operating the at least one ambient lighting device (12a, 12b, 12c, 12d, 12e, 12f), the first operating device (14) being permanently mounted in the motor vehicle (10); and a second operating device (16) for operating the at least one ambient lighting device (12a, 12b, 12c, 12d, 12e, 12f), the second operating device (16) being a preferably portable mobile device, preferably a mobile phone, a smartphone or a tablet.

The present invention provides a method and system for intelligently locating roof leaks based on machine vision, relating to the field of construction engineering detection technology. The method comprises: Step 1, using a dual-channel sensor device for visible light and infrared thermal imaging to collect roof image data, surface texture, temperature field, and ambient lighting parameters, construct a multidimensional dataset, and generate visual data based on the multidimensional dataset through dynamic range correction; Step 2, based on the visual data, divide the collected image into detection areas, extract local temperature gradients, surface texture mutation rates, and liquid flow trajectory parameters, and establish a multi-index feature matrix. By extracting features from roof images using machine vision, the present invention achieves intelligent positioning of roof leaks, risk classification, and dynamic evolution tracking, thereby improving the accuracy of leak location.

1. Name of the product in this design: Car seat backrest. 2. Purpose of this design: A decorative piece for the back of a car seat, used to provide ambient lighting and a small table. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The invention relates to a method (14) for controlling ambient lighting (6) of a motor vehicle (1) which has a windshield (10) and segmented ambient lighting (6) which can be reflected in the windshield (10), comprising the following steps: - Capturing (15) an image of a corneal endoscopy of at least one eye of a driver or passenger of the motor vehicle (1), - Determining (16) a potential interference reflection in the corneal oscilloscope image due to a reflection of the ambient lighting (6) on the windshield (10), - Identify (17) at least one segment (7) of the ambient lighting (6) that generates the interference reflection, - Dimming (18) of the identified segment (7) or segments (7) to reduce or eliminate the interference reflection.

The disclosure relates to using ambient lighting conditions with passenger and goods pickups and drop offs with autonomous vehicles. For instance, a map of ambient lighting conditions for stopping locations may be generated by receiving ambient lighting condition data for predetermined stopping locations and arranging this data into a plurality of buckets based on time and one of the stopping locations. A vehicle may then be controlled in an autonomous driving mode in order to stop for a passenger by both observing ambient lighting conditions for different stopping locations and, in some instances, also using the map.

1. Name of the product in this design: Car ambient light decorative panel (TK6034). 2. Application of this design: This design is used for automotive door panel trim and ambient lighting. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design highlights: 3D model of Kit 1. 5. Other situations requiring explanation: Package 1, Package 2, Package 3 and Package 4 are all door ambient lighting trim panels.

A computational pupillometry system comprises an imaging device configured to capture video frames of a subject's eye and processors executing instructions to perform advanced pupillary assessment. The system employs multi-frame integration techniques, including super-resolution algorithms that utilize sub-pixel shifts between frames, temporal averaging for noise reduction, and parallax-based artifact mitigation to enhance measurement accuracy. Artificial intelligence models, including temporal neural networks, analyze the enhanced pupillary data to determine pupillary parameters and calculate a light-invariant Pupil Reactivity (PuRe) score. The system processes ambient lighting conditions through computational models that analyze video frames before and after controlled stimulation, enabling consistent scoring across varying environmental conditions. Quality assurance mechanisms provide pre-recording and post-recording validation with real-time feedback. The system integrates with electronic medical records through standardized healthcare protocols and supports synchronized, multi-device deployment across healthcare networks.

1. Name of the designed product: Ambit 3. 2. Use of the designed product: used for creating ambient lighting effects. 3. Design points of the designed product: in shape. 4. Picture or photo that best represents the design points: perspective view.