公开(公告)号：US20250061701A1

公开(公告)日：2025-02-20

申请号：US18806740

申请日：2024-08-16

Applicant: China University of Mining and Technology

Inventor： Xiaohu ZHAO ,  He TIAN ,  Peng YOU ,  Tingyu CHE

IPC: G06V10/82 ,  G01N25/72 ,  G01N33/24 ,  G06T7/00 ,  G06V10/26 ,  G06V10/30 ,  G06V10/52 ,  G06V10/77 ,  G06V10/80

Abstract: A detection method for infrared thermal image damage area of coal rock includes: step 1: collecting and recording the infrared thermal image of coal rock in the process of loading destruction; step 2: processing a gray-scale transformation on the collected infrared thermal image of coal rock; step 3: denoising an infrared thermal image of coal rock after the gray-scale transformation by the dense residual image denoising algorithm of autocorrelation network; step 4: conducting an area segmentation on the infrared thermal image of coal rock after denoising to extract eigenvalues by using a coal-rock infrared thermal image damage area segmentation algorithm of improved encoder-decoder network; step 5: observing the damage area of coal rock. The detection method improves the denoising effect of the infrared thermal image of coal rock, strengthens the extraction of the characteristics of the damage area, and improves the accuracy of the segmentation.

公开(公告)号：US20250060251A1

公开(公告)日：2025-02-20

申请号：US18935719

申请日：2024-11-04

Applicant: Purdue Research Foundation

Inventor： Zubin Jacob ,  Fanglin Bao ,  Xueji Wang

IPC: G01J3/28 ,  G01J3/00 ,  G01J3/10 ,  G01J3/447 ,  G01J4/00 ,  G01J4/04 ,  G01J5/00 ,  G01J5/48 ,  G01J5/59 ,  G01N21/21 ,  G01N21/25 ,  G01N21/35 ,  G06F18/22 ,  G06V10/143 ,  G06V10/30 ,  G06V10/40 ,  G06V10/54 ,  G06V10/75

Abstract: An image processing system includes a processor configured to receive heat radiation from a scene by a spectropolarimetric imaging system adapted to generate a plurality of spectral frames, generate the plurality of spectral frames associated with the scene, each frame having a plurality of pixels, for each pixel from the generated plurality of spectral frames, extract scene associated spectral information, including pixel-specific temperature representing an object's temperature, and thermal texture factor representing the object's texture, for each of a plurality of materials having a specific emissivity in a library, generate reference spectral information as a function of temperature and thermal texture, match the extracted spectral information for each pixel from the generated plurality of spectral frames to the generated reference spectral information using a statistical method to minimize the associated variation, and extract spectral metadata from the matched reference spectral information for the associated material based on the match.

公开(公告)号：US20250005966A1

公开(公告)日：2025-01-02

申请号：US18885523

申请日：2024-09-13

Applicant: O/D Vision Inc.

Inventor： Marcus Charles Bernard SOORI-ARACHI

IPC: G06V40/20 ,  G06V10/28 ,  G06V10/30 ,  G06V10/77 ,  G06V10/778 ,  G06V10/82 ,  G06V20/52 ,  G06V40/14 ,  G06V40/16 ,  G06V40/19

Abstract: A system for serving personalized advertisements based on biometric and identifying data captured by sensors. The system employs pre-processing, feature extraction, and recognition modules to identify individuals. A context-aware processing module adapts recognition strategies based on environmental data and analyzes personal information to confirm the identity of the targeted individual and send targeted advertisements. The system includes display and speaker modules for visual and audio advertisements, a predictive interaction modeling module for generating personalized advertisements, and a cross-platform behavior analysis module for analyzing user behavior across offline and online platforms.

公开(公告)号：US12182102B1

公开(公告)日：2024-12-31

申请号：US17405141

申请日：2021-08-18

Applicant: Scale AI, Inc.

Inventor： Alexandre Matton ,  Chiao-Lun Cheng ,  Adrian Yunpfei Lam

IPC: G06F16/23 ,  G06V10/30 ,  G06V30/10 ,  G06V30/14 ,  G06V30/414

Abstract: One embodiment of the present invention sets forth a technique for extracting data from a document. The technique includes determining, via execution of one or more machine learning models, a first set of bounding boxes for a first set of values associated with a first key within the document and a second set of bounding boxes for a second set of values associated with a second key within the document. The technique also includes generating a first set of mappings between a list of items in the document and the first set of bounding boxes and a second set of mappings between the first and second sets of bounding boxes based on locations of the bounding boxes. The technique further includes determining, for a given item, one or more associated bounding boxes in the first and second sets of bounding boxes based on the mappings.

公开(公告)号：US20240386590A1

公开(公告)日：2024-11-21

申请号：US18656863

申请日：2024-05-07

Applicant: Tata Consultancy Services Limited

Inventor： Rahul Dasharath GAVAS ,  Tince VARGHESE ,  Ramesh Kumar RAMAKRISHNAN ,  Rolif LIMA ,  Priya SINGH ,  Shreyasi DATTA ,  Somnath KARMAKAR ,  Mithun Basaralu SHESHACHALA ,  Arpan PAL

IPC: G06T7/55 ,  G06T7/73 ,  G06V10/30 ,  G06V10/32 ,  G06V10/764 ,  G06V10/774 ,  G06V40/18

Abstract: This disclosure relates generally to method and system for predicting distance of gazed objects using IR camera. Eye tracking technology is widely used to study human behavior and patterns in eye movements. Existing gaze trackers focus on predicting gaze point and hardly analyzes distance of the gazed object from the gazer or directly classify region of focus. The method of the present disclosure predicts gazed objects distance using a pair of IR cameras placed on either side of a smart glass. The gaze predictor ML model predicts distance at least one gazed object positioned from eye of each subject during systematic execution of a set of tasks. From each pupillary information of each pupil a set of features are extracted which are utilized to classify the gazed object of the subject based on the distance into at least one of a near class, an intermediate class, and a far class.

公开(公告)号：US20240339037A1

公开(公告)日：2024-10-10

申请号：US18748637

申请日：2024-06-20

Applicant: Seadronix Corp.

Inventor： Byeol Teo PARK ,  Han Keun KIM ,  Dong Hoon KIM

IPC: G08G3/02 ,  G06F18/21 ,  G06F18/22 ,  G06N3/04 ,  G06N3/08 ,  G06T5/70 ,  G06T7/11 ,  G06T7/50 ,  G06T7/70 ,  G06V10/10 ,  G06V10/24 ,  G06V10/26 ,  G06V10/30 ,  G06V10/80 ,  G06V10/82 ,  G06V20/52 ,  G06V20/70 ,  H04N7/18

CPC classification number: G08G3/02 ,  G06F18/21 ,  G06F18/22 ,  G06N3/04 ,  G06N3/08 ,  G06T5/70 ,  G06T7/11 ,  G06T7/50 ,  G06T7/70 ,  G06V10/16 ,  G06V10/24 ,  G06V10/26 ,  G06V10/30 ,  G06V10/809 ,  G06V10/82 ,  G06V20/52 ,  G06V20/70 ,  H04N7/181 ,  G06T2207/20081 ,  G06T2207/30232

Abstract: The present invention relates to a method by which a computing means monitors a harbor, and a harbor monitoring method, according to one aspect of the present invention, comprises the steps of: acquiring a harbor image; generating a segmentation image corresponding to the harbor image; generating a display image corresponding to the harbor image and having a first view attribute; generating a conversion segmentation image, which corresponds to the segmentation image and has a second view attribute different from the first view attribute; matching the display image so as to generate a panoramic image; matching the conversion segmentation image so as to generate a matching segmentation image; calculating ship mooring guide information on the basis of the matching segmentation image; and outputting the mooring guide information together with the panoramic image.

公开(公告)号：US20240257498A1

公开(公告)日：2024-08-01

申请号：US18629439

申请日：2024-04-08

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Soonmook JEONG

IPC: G06V10/764 ,  G06V10/30 ,  G06V10/77

CPC classification number: G06V10/764 ,  G06V10/30 ,  G06V10/7715

Abstract: An electronic apparatus includes: a memory storing at least one instruction; and at least one processor configured to execute the at least one instruction to: obtain an input image by capturing an object and a background of the object through a camera; obtain a first classification map by classifying a first part of the obtained input image as an object region corresponding to the object and a second part of the obtained input image as a background region corresponding to the background of the object; pre-process the first classification map to obtain a second classification map in which a noise region in the first classification map is removed; and obtain an object image corresponding to the object, based on the first classification map and the second classification map, by using the noise region in the first classification map and information about a distance between the camera and the object.

公开(公告)号：US12049288B2

公开(公告)日：2024-07-30

申请号：US18104011

申请日：2023-01-31

Applicant: Seadronix Corp.

Inventor： Byeol Teo Park ,  Han Keun Kim ,  Dong Hoon Kim

IPC: B63B49/00 ,  G06F18/2413 ,  G06N3/045 ,  G06V10/26 ,  G06V10/30 ,  G06V10/36 ,  G06V10/80 ,  G06V10/82 ,  G06V20/00 ,  G06V20/70

CPC classification number: B63B49/00 ,  G06F18/2413 ,  G06N3/045 ,  G06V10/26 ,  G06V10/30 ,  G06V10/36 ,  G06V10/809 ,  G06V10/82 ,  G06V20/00 ,  G06V20/70

Abstract: The present invention relates to a method for generating a processed image, the method comprising: obtaining a target image; generating a target image mask corresponding to the target image using the target image and a first artificial neural network, wherein the first artificial neural network is trained to generate an image mask from a first image, and is trained by using an error calculated from a second artificial neural network, and wherein the second artificial neural network is configured to discriminate a second image generated by applying the image mask to the first image and a reference image of which the image mask is not applied; and generating the processed image of which an environmental noise is reduced from the target image by applying the target image mask to the target image.

公开(公告)号：US11995800B2

公开(公告)日：2024-05-28

申请号：US16534424

申请日：2019-08-07

Applicant: Meta Platforms, Inc.

Inventor： Bo Zhu ,  Liying Shen ,  William Scott Lamond

IPC: G06T5/00 ,  G06F18/214 ,  G06N3/04 ,  G06N20/00 ,  G06T7/11 ,  G06T7/44 ,  G06V10/30 ,  G06V10/82

CPC classification number: G06T5/001 ,  G06F18/214 ,  G06N3/04 ,  G06N20/00 ,  G06T5/002 ,  G06T7/11 ,  G06T7/44 ,  G06V10/82 ,  G06T2207/10016 ,  G06T2207/20132 ,  G06V10/30

Abstract: An image captured by an imaging device in low light conditions may cause the captured image to have poor contrast, blurring, and otherwise not display one or more objects in the image clearly. According to various aspects, systems and methods are provided for enhancing images that are captured in low light conditions.

公开(公告)号：US20240153303A1

公开(公告)日：2024-05-09

申请号：US17981985

申请日：2022-11-07

Applicant: ADOBE INC.

Inventor： Ali AMINIAN ,  Aashish Kumar MISRAA ,  Kshitiz GARG ,  Aseem AGARWALA

IPC: G06V40/16 ,  G06T7/20 ,  G06V10/30 ,  G06V10/762 ,  G06V20/40

CPC classification number: G06V40/161 ,  G06T7/20 ,  G06V10/30 ,  G06V10/762 ,  G06V20/49 ,  G06V40/171 ,  G06T2207/30201 ,  G06V2201/07

Abstract: Some aspects of the technology described herein perform identity identification on faces in a video. Object tracking is performed on detected faces in frames of a video to generate tracklets. Each tracklet comprises a sequence of consecutive frames in which each frame includes a detected face for a person. The tracklets are clustered using face feature vectors for detected faces of each tracklet to generate a plurality of clusters. Information is stored in an identity datastore, including a first identifier for a first identity in association with an indication of frames from tracklets in a first cluster from the plurality of clusters.