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RU2737936C1 - Method of using a structured light camera in dlp systems - Google Patents

Method of using a structured light camera in dlp systems Download PDF

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RU2737936C1
RU2737936C1 RU2020119607A RU2020119607A RU2737936C1 RU 2737936 C1 RU2737936 C1 RU 2737936C1 RU 2020119607 A RU2020119607 A RU 2020119607A RU 2020119607 A RU2020119607 A RU 2020119607A RU 2737936 C1 RU2737936 C1 RU 2737936C1
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camera
data
built
structured light
module
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RU2020119607A
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Russian (ru)
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Константин Игоревич Первинкин
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Акционерное общество "ЭЛВИС-НеоТек"
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
    • G01B21/02—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness
    • G01B21/04—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness by measuring coordinates of points
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
    • G01B21/10—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring diameters
    • G01B21/12—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring diameters of objects while moving
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/60—Protecting data
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/70—Protecting specific internal or peripheral components, in which the protection of a component leads to protection of the entire computer
    • G06F21/82—Protecting input, output or interconnection devices
    • G06F21/84—Protecting input, output or interconnection devices output devices, e.g. displays or monitors
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G06T7/223—Analysis of motion using block-matching
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W12/00—Security arrangements; Authentication; Protecting privacy or anonymity
    • H04W12/12—Detection or prevention of fraud

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Hardware Design (AREA)
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  • Spectroscopy & Molecular Physics (AREA)
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  • Computer Networks & Wireless Communication (AREA)
  • Analytical Chemistry (AREA)
  • Signal Processing (AREA)
  • Evolutionary Biology (AREA)
  • Data Mining & Analysis (AREA)
  • Multimedia (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Chemical & Material Sciences (AREA)
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  • Artificial Intelligence (AREA)
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  • Length Measuring Devices By Optical Means (AREA)

Abstract

FIELD: protection of computers.
SUBSTANCE: invention relates to protection of computers, components thereof, programs or data from unauthorized activities. Method of using a structured light camera in DLP systems involves creating, using a built-in infrared (IR) projector, a projection of the IR grid (points) directly on an object, a built-in IR camera which is located away from the projector, fixes network shape and calculates distance to each point in camera view, built-in color camera, removes color video, data from the structured light camera enters the transport analyst single-board computer module (TASBC) module, data are processed and according to them TASBC module performs detection, identification and recognition of object on its three-dimensional image, upon detection of embedded model, the TASBC module stores an image of the object and its metadata into the archive, transmits an event message to the remote security service server and includes, if available (suppression) means are present.
EFFECT: technical result consists in improvement of reliability of recognition of data leakage methods due to three-dimensional image of observed object.
1 cl, 1 dwg

Description

Изобретение относится к способам автоматизации распознавания объектов и может применяться в различных областях техники, например, в DLP системах (Data Leakage Prevention - предотвращение утечки данных), для предотвращения утечки данных с помощью камер мобильного телефона или видеокамер в том числе и скрытых.The invention relates to methods for automating object recognition and can be applied in various fields of technology, for example, in DLP systems (Data Leakage Prevention) to prevent data leakage using mobile phone cameras or video cameras, including hidden ones.

Камеры структурированного света обычно используются в системах машинного зрения, развлечений (Xbox Kinect), трехмерной съемки объектов.Structured light cameras are commonly used in machine vision systems, entertainment (Xbox Kinect), and three-dimensional object photography.

Из уровня техники известен способ использования камеры Zecurion Camera Detector от компании Zecurion https://www.zecurion.ru/press/14867/ (дата открытия страницы 07.04.2020 г.) Известный способ взят за прототип. Он предполагает выявление фотографирования экранов корпоративных компьютеров на смартфон за счет использования технологий машинного обучения на базе нейронных сетей. При обнаружении подозрительных действий пользователя позволяет оповестить службу информационной безопасности о потенциальной угрозе и снизить риски утечек данных, а сам факт фиксируется в архиве.From the prior art, there is a known method of using a Zecurion Camera Detector from Zecurion https://www.zecurion.ru/press/14867/ (date of opening the page 07.04.2020) The known method is taken as a prototype. It involves the identification of photographing the screens of corporate computers on a smartphone using machine learning technologies based on neural networks. When suspicious actions of the user are detected, it allows to notify the information security service of a potential threat and reduce the risks of data leaks, and the fact itself is recorded in the archive.

Недостатком данного способа является использование обычной веб-камеры, которую можно обмануть распечатанной фотографией хорошего разрешения. Так же к недостаткам можно отнести, что распознавание происходит на персональном компьютере (ПК) объекта, что накладывает требования по производительности к ПК оператора, и использует вычислительные мощности ПК объекта.The disadvantage of this method is the use of a regular webcam, which can be fooled by a printed photo of good resolution. The same disadvantages include the fact that the recognition takes place on a personal computer (PC) of the object, which imposes performance requirements on the operator's PC, and uses the computing power of the object's PC.

Задачей изобретения является создание способа использования камеры структурного света, который позволяет повысить надежность распознавания методов утечки данных, за счет трехмерного изображения наблюдаемого объекта.The object of the invention is to provide a method for using a structured light camera, which makes it possible to increase the reliability of recognition of data leakage methods due to a three-dimensional image of the observed object.

Технический результат достигается за счет того, что способ использования камеры структурированного света в DLP системах предполагает получение данных в виде изображения с камеры структурного света, построение трехмерной матрицы изображения из полученных данных, сравнение с обученными моделями, оповещение оператора о распознавании объекта и его действий, принятие решений в зависимости от результата сравнений.The technical result is achieved due to the fact that the method of using a structured light camera in DLP systems involves obtaining data in the form of an image from a structural light camera, constructing a three-dimensional image matrix from the received data, comparing with trained models, alerting the operator about recognizing an object and its actions, decisions depending on the result of comparisons.

Сущность изобретения поясняется чертежом.The essence of the invention is illustrated by a drawing.

На фиг. 1 изображена схема работы камеры структурированного света в DLP системах. Камера структурированного света (1) подключена к одноплатному компьютеру (модуль ОКТА) (2). Камера структурированного света (1) создает с помощью встроенного инфракрасного (ИК) проектора, проекцию ИК сетки (точек) непосредственно на объект (3). Встроенная ИК камера, которая расположена в стороне от проектора, фиксирует форму сети и вычисляет расстояние до каждой точки в области зрения камеры. Встроенная RGB (цветная) камера снимает цветное видео. Данные от камеры структурированного света (1) поступают в модуль ОКТА (2) с помощью интерфейса USB или Ethernet. Данные обрабатываются и по ним модуль ОКТА (2), проводит обнаружение, идентификацию и распознавание объекта по его трехмерному изображению. При обнаружении заложенной модели, модуль ОКТА (2), сохраняет в архив изображение объекта и его мета данные, передает на удаленный сервер службы безопасности (4) по сети Ethernet или Wi-Fi сообщение о событии, и при наличии средств воздействия (подавления) включает их.FIG. 1 shows a diagram of the operation of a structured light camera in DLP systems. The structured light camera (1) is connected to a single board computer (OCTA module) (2). The structured light camera (1) uses a built-in infrared (IR) projector to project the IR grid (points) directly onto the object (3). The built-in IR camera, located away from the projector, captures the shape of the network and calculates the distance to each point in the camera's field of view. The built-in RGB (color) camera captures color video. The data from the structured light camera (1) is fed to the OCTA module (2) using the USB or Ethernet interface. The data are processed and based on them, the OCTA module (2) performs detection, identification and recognition of an object from its three-dimensional image. Upon detection of the embedded model, the OCTA module (2) saves the object image and its meta data to the archive, transmits an event message to a remote security service server (4) via Ethernet or Wi-Fi, and, if there are means of influence (suppression), turns on them.

Работа камеры структурного света предполагает, что объект попадает в область зрения камеры структурированного света, его местоположение и размеры контролируются с помощью структурированного света инфракрасного излучения (ИК). Данные с камеры поступают в одноплатный компьютер аналитики (ОКТА). ОКТА проводит обнаружение, идентификацию и распознавание объекта по его 3D изображению, сохраняет данные и оповещает службу безопасности.Structural light camera operation assumes that an object enters the field of view of a structured light camera, its location and dimensions are controlled using structured infrared (IR) light. The data from the camera goes to the single board analytics computer (OCTA). OCTA detects, identifies and recognizes an object from its 3D image, stores data and notifies the security service.

Claims (1)

Способ использования камеры структурированного света в DLP системах предполагает создание с помощью встроенного инфракрасного (ИК) проектора проекции ИК сетки (точек) непосредственно на объект, встроенная ИК камера, которая расположена в стороне от проектора, фиксирует форму сети и вычисляет расстояние до каждой точки в области зрения камеры, встроенная цветная камера снимает цветное видео, данные от камеры структурированного света поступают в модуль одноплатного компьютера транспортной аналитики (ОКТА), данные обрабатываются и по ним модуль ОКТА проводит обнаружение, идентификацию и распознавание объекта по его трехмерному изображению, при обнаружении заложенной модели, модуль ОКТА сохраняет в архив изображение объекта и его метаданные, передает на удаленный сервер службы безопасности сообщение о событии и при наличии средств воздействия (подавления) включает их.The method of using a structured light camera in DLP systems involves creating a projection of an IR grid (points) directly onto an object using a built-in infrared (IR) projector, a built-in IR camera located away from the projector captures the shape of the network and calculates the distance to each point in the area camera view, the built-in color camera shoots color video, the data from the structured light camera goes to the transport analytics single-board computer (OCTA) module, the data is processed and the OCTA module detects, identifies and recognizes the object from its three-dimensional image, upon detecting the embedded model, the OCTA module saves an image of the object and its metadata to the archive, sends a message about the event to the remote server of the security service and, if there are means of influence (suppression), enables them.
RU2020119607A 2020-06-11 2020-06-11 Method of using a structured light camera in dlp systems RU2737936C1 (en)

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Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050066165A1 (en) * 2002-12-31 2005-03-24 Vidius Inc. Method and system for protecting confidential information
US20160253508A1 (en) * 2015-02-26 2016-09-01 Kairos Social Solutions, Inc. Device, System, and Method of Preventing Unauthorized Recording of Visual Content Displayed on an Electronic Device
RU2699234C1 (en) * 2018-08-08 2019-09-05 Общество с ограниченной ответственностью "Инновационные технологии" Method of safe use of an electronic document

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050066165A1 (en) * 2002-12-31 2005-03-24 Vidius Inc. Method and system for protecting confidential information
US20120144449A1 (en) * 2002-12-31 2012-06-07 Portauthority Technologies Inc. Method and system for protecting confidential information
US20160253508A1 (en) * 2015-02-26 2016-09-01 Kairos Social Solutions, Inc. Device, System, and Method of Preventing Unauthorized Recording of Visual Content Displayed on an Electronic Device
RU2699234C1 (en) * 2018-08-08 2019-09-05 Общество с ограниченной ответственностью "Инновационные технологии" Method of safe use of an electronic document

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