公开(公告)号：US09664510B2

公开(公告)日：2017-05-30

申请号：US14311269

申请日：2014-06-21

Applicant: Intellivision Technologies Corp.

Inventor： Vaidhi Nathan ,  Chandan Gope ,  Lev Afraimovich ,  Sergey Soprykin ,  Roman Kholodov Valerievich

IPC: G01B21/00 ,  G06F17/18 ,  G06Q10/08 ,  G06K9/00 ,  G06K9/62 ,  G06K17/00

CPC classification number: G01B21/00 ,  G06F17/18 ,  G06K9/00771 ,  G06K9/6293 ,  G06K2017/0045 ,  G06Q10/08

Abstract: Method of tracking moveable objects (typically tagged objects that are moved by actors e.g. people, vehicles) by combining and analyzing data obtained from multiple types of sensors, such as video cameras, RFID tag readers, GPS sensors, and WiFi transceivers. Objects may be tagged by RFID tags, NFC tags, bar codes, or even tagged by visual appearance. The system operates in near real-time, and compensates for errors in sensor readings and missing sensor data by modeling object and actor movement according to a plurality of possible paths, weighting data from some sensors higher than others according to estimates of sensor accuracy, and weighing the probability of certain paths according to various other rules and penalty cost parameters. The system can maintain a comprehensive database which can be queried as to which actors associate with which objects, and vice versa. Other data pertaining to object location and association can also be obtained.

公开(公告)号：US12142261B2

公开(公告)日：2024-11-12

申请号：US17203269

申请日：2021-03-16

Applicant: INTELLIVISION TECHNOLOGIES CORP.

Inventor： Krishna Khadloya ,  Chandan Gope ,  Vaidhi Nathan

IPC: G10L15/16 ,  G06F9/54 ,  G06N3/045 ,  G06N3/08 ,  G06N20/10 ,  G06N20/20 ,  G10L25/18 ,  G10L25/21

Abstract: Artificial intelligence-based processing can be used to classify audio information received from an audio input unit. In an example, audio information can be received from a microphone configured to monitor an environment. A processor circuit can identify identifying one or more features of the audio information received from the microphone and use a first applied machine learning algorithm to analyze the one or more features and determine whether the audio information includes an indication of an abnormal event in the environment. In an example, the processor circuit can use a different second applied machine learning algorithm, such as a neural network-based deep learning algorithm, to analyze the same one or more features and classify the audio information as including an indication of a particular event type in the environment.

公开(公告)号：US12056589B2

公开(公告)日：2024-08-06

申请号：US18156874

申请日：2023-01-19

Applicant: INTELLIVISION TECHNOLOGIES CORP

Inventor： Ilya Popov ,  Chandan Gope

IPC: G06N20/10 ,  G06F18/2411 ,  G06N3/047 ,  G06V10/75 ,  G06V10/82 ,  G06V20/00 ,  G06V20/54 ,  G06V20/62 ,  G06V30/10 ,  G06V30/18 ,  G06V30/19

CPC classification number: G06N20/10 ,  G06F18/2411 ,  G06N3/047 ,  G06V10/758 ,  G06V10/82 ,  G06V20/00 ,  G06V20/54 ,  G06V20/63 ,  G06V30/18086 ,  G06V30/19147 ,  G06V30/19173 ,  G06V20/625 ,  G06V30/10

Abstract: Systems can be configured for detecting license plates and recognizing characters in license plates. In an example, a system can receive an image and identify one or more regions in the image that include a license plate. Character recognition can be performed in the one or more regions to determine contents of a candidate license plate. Location-specific information about a license plate format can be used together with the determined contents of the candidate license plate to determine if the recognized characters are valid.

公开(公告)号：US11601620B2

公开(公告)日：2023-03-07

申请号：US17196783

申请日：2021-03-09

Applicant: IntelliVision Technologies Corp.

Inventor： Vaidhi Nathan ,  Krishna Khadloya ,  Prakash Narayan ,  Albert Kay

IPC: H04N7/18 ,  G06N3/08 ,  H04L67/1036 ,  H04L67/1097 ,  G06V20/10

Abstract: The invention is based, in part, on a system and method designed to be able to easily and automatically scale up to millions of cameras and users. To do this, this discourse teaches use of modern cloud computing technology, including automated service provisioning, automated virtual machine migration services, RESTful API, and various firewall traversing methods to facilitate the scaling process. Moreover, the system and method described herein teaches scalable cloud solutions providing for higher though-put camera provisioning and event recognition. The network may segregate the retrieval server from the storage server, and by doing so, minimizing the load on any one server and improving network efficiency and scalability.

公开(公告)号：US20220292170A1

公开(公告)日：2022-09-15

申请号：US17200584

申请日：2021-03-12

Applicant: INTELLIVISION TECHNOLOGIES CORP

Inventor： Krishna Khadloya ,  Manuel Gonzalez

IPC: G06F21/32 ,  G06K9/00 ,  G06K9/62 ,  G06N3/08

Abstract: Person or object authentication can be performed using artificial intelligence-enabled systems. Reference information, such as for use in comparisons or assessments for authentication, can be updated over time to accommodate changes in an individual's appearance, voice, or behavior. In an example, reference information can be updated automatically with test data, or reference information can be updated conditionally, based on instructions from a system administrator. Various types of media can be used for authentication, including image information, audio information, or biometric information. In an example, authentication can be performed wholly or partially at an edge device such as a security panel in an installed security system.

公开(公告)号：US10169684B1

公开(公告)日：2019-01-01

申请号：US15179966

申请日：2016-06-10

Applicant: INTELLI-VISION

Inventor： Vaidhi Nathan ,  Gagan Gupta ,  Nitin Jindal ,  Chandan Gope

IPC: G06K9/62 ,  G06F17/30 ,  G06K9/00 ,  G06K9/46

Abstract: The present invention discloses methods and systems for recognizing an object in an input image based on stored training images. An object recognition system the input image, computes a signature of the input image, compares the signature with one or more stored signatures and retrieves one or more matching images from the set of training images. The matching images are then displayed to the user for further action.

公开(公告)号：US20080181507A1

公开(公告)日：2008-07-31

申请号：US12011705

申请日：2008-01-28

Applicant: Chandan Gope ,  Amit Agarwal ,  Vaidhi Nathan ,  Alexander Bovyrin ,  Ilya Popov ,  Lev Afraimovich

Inventor： Chandan Gope ,  Amit Agarwal ,  Vaidhi Nathan ,  Alexander Bovyrin ,  Ilya Popov ,  Lev Afraimovich

IPC: G06K9/46 ,  G06K9/03 ,  G06K9/40 ,  G06K9/36

CPC classification number: H04N5/272 ,  G06T5/002 ,  G06T7/11 ,  G06T7/194 ,  G06T11/60 ,  G06T2207/20012 ,  H04N5/144

Abstract: In an embodiment, an image is received having a first portion and one or more other portions. The one or more other portions are replaced with one or more other images. The replacing of the one or more portions results in an image including the first portion and the one or more other images. In an embodiment, the background of an image is replaced with another background. In an embodiment, the foreground is extracted by identifying the background based on an image of the background without any foreground. In an embodiment, the foreground is extracted by identifying portions of the image that have characteristics that are expected to be associated with the background and characteristics that are expected to be associated with foreground. In an embodiment any of the images can be still images. In an embodiment, any of the images are video images.

Abstract translation: 在一个实施例中，接收具有第一部分和一个或多个其它部分的图像。 一个或多个其它部分被一个或多个其他图像替换。 更换一个或多个部分导致包括第一部分和一个或多个其他图像的图像。 在一个实施例中，图像的背景被替换为另一背景。 在一个实施例中，通过基于背景的图像识别背景来提取前景，而没有任何前景。 在一个实施例中，通过识别具有预期与预期与前景相关联的背景和特征的特征的图像的部分来提取前景。 在一个实施例中，任何图像可以是静止图像。 在一个实施例中，任何图像是视频图像。