WO2014194586A1 - 一种实现视觉识别的方法、装置和系统 - Google Patents

一种实现视觉识别的方法、装置和系统 Download PDF

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Publication number
WO2014194586A1
WO2014194586A1 PCT/CN2013/083691 CN2013083691W WO2014194586A1 WO 2014194586 A1 WO2014194586 A1 WO 2014194586A1 CN 2013083691 W CN2013083691 W CN 2013083691W WO 2014194586 A1 WO2014194586 A1 WO 2014194586A1
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Prior art keywords
visual
recognition
visual recognition
recognized
identified
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PCT/CN2013/083691
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English (en)
French (fr)
Inventor
刘海军
邹常乐
Original Assignee
中兴通讯股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 中兴通讯股份有限公司 filed Critical 中兴通讯股份有限公司
Priority to JP2016517124A priority Critical patent/JP6556703B2/ja
Priority to US14/895,449 priority patent/US20160117553A1/en
Priority to KR1020157036996A priority patent/KR101865459B1/ko
Priority to EP13886491.3A priority patent/EP3007098A4/en
Publication of WO2014194586A1 publication Critical patent/WO2014194586A1/zh

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/80Recognising image objects characterised by unique random patterns
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/90Identifying an image sensor based on its output data

Definitions

  • the present invention relates to the field of communications, and in particular, to a method, apparatus and system for implementing visual recognition. Background technique
  • the development of digital multimedia and networks has enriched the entertainment experience in people's daily lives.
  • the current technology allows people to watch HDTV at home.
  • the sources of TV programs include digital discs, cable TV, the Internet, etc., and people can also use PAD (tablet electronic devices), mobile phones to achieve these experiences;
  • PAD tablet electronic devices
  • the prior art also includes People can transfer the playback of digital content between different devices through the network, and control the playback of a device through remote control and gestures, such as: controlling channel switching, controlling volume, and the like.
  • the main purpose of embodiments of the present invention is to provide a method for realizing visual recognition. Laws, devices, and systems to enable automatic identification of devices.
  • a method of implementing visual recognition comprising:
  • the visual recognition device learns the visual identification features of the identified device, and thereby visually identifies the identified device.
  • the method for knowing the visual recognition feature is:
  • the visual recognition device sends a message to the identified device and receives a response message returned by the identified device, wherein the response message includes a visual identification feature of the identified device.
  • the process of visually recognizing the identified device includes:
  • a visual identifier for identifying the identified device is obtained, the visual identifier is compared with the visually recognized feature of the identified device, and the identified device is identified.
  • the method for obtaining the visual identifier is:
  • the visual recognition device acquires an image or a video clip in a visual range through a camera, and analyzes the collected image or video clip to obtain the visual identifier; or
  • the visual recognition device reads a visual identification that is pre-stored by itself.
  • the visual identifier includes at least one of the following: a barcode label, a two-dimensional code label, a text label, and a trademark identifier.
  • the visual recognition device further confirms the recognition result with the identified device after completing the visual recognition of the identified device.
  • the confirmation result is confirmed by the manner in which the identified device sends a visual signal to the visual recognition device.
  • the visual signal includes at least one of the following: a visible light signal, an invisible light signal, an optical signal characteristic, a graphic on a display screen, and an image.
  • the method further includes: after completing visual recognition of the identified device, the visual recognition device further measuring spatial location information of the identified device.
  • the visual recognition feature includes at least one of the following: a label, a device graphic, a device image, and a visual signal.
  • a device for realizing visual recognition the device being a visual recognition device; the device comprising an identification side control unit and an identification side execution unit;
  • the identification side control unit is configured to learn a visual recognition feature of the identified device, and thereby controlling the identification side execution unit to visually recognize the identified device;
  • the identification side execution unit is configured to visually recognize the identified device according to control of the identification side control unit.
  • the identification side control unit is configured to: receive a message sent by the identified device, where the message includes a visual recognition feature of the identified device; or
  • the identification side execution unit is configured to: when visually recognizing the identified device:
  • a visual identifier for identifying the identified device is obtained, the visual identifier is compared with the visually recognized feature of the identified device, and the identified device is identified.
  • the acquiring side execution unit when acquiring the visual identifier, is configured to: collect an image or a video segment in a visual range by using a camera, and analyze the collected image or video segment to obtain the visual identifier; or ,
  • a visual identifier pre-stored in the visual recognition device is read.
  • the visual identifier includes at least one of the following: a barcode label, a two-dimensional code label, a text label, and a trademark identifier.
  • the identification side control unit is further configured to, after completing the visual recognition of the identified device, control the recognition side execution unit to perform the recognition result confirmation with the identified device.
  • the identification side execution unit is configured to receive the visual signal sent by the identified device to implement the recognition result confirmation.
  • the visual signal includes at least one of the following: a visible light signal, an invisible light signal, an optical signal characteristic, a graphic on a display screen, and an image.
  • the identification side control unit is further configured to control the identification side execution unit to measure spatial location information of the identified device after the visual recognition of the identified device is completed.
  • the device further includes a storage unit configured to store information identifying the identified device.
  • the apparatus further includes an identification side network unit configured to support communication between each unit in the apparatus and the identified device.
  • the visual recognition feature includes at least one of the following: a label, a device graphic, a device image, and a visual signal.
  • a device for realizing visual recognition the device being an identified device; the device comprising an identified side control unit, an identified side execution unit;
  • the identified side control unit is configured to control the recognized side execution unit to provide a visual recognition feature of the identified device to a visual recognition device;
  • the recognized side execution unit is configured to provide the visual recognition feature to the visual recognition device according to the control of the recognized side control unit.
  • the recognized side execution unit when providing the visual identification feature, is configured to: send a message to the visual recognition device, where the message includes the visual recognition feature; or
  • the identified side control unit is further configured to control the identified side control unit to perform a recognition result confirmation with the visual recognition device.
  • the recognized side control unit is configured to issue a visual signal to the visual recognition device to confirm the recognition result.
  • the visual signal includes at least one of the following: a visible light signal, an invisible light signal, an optical signal characteristic, a graphic on a display screen, and an image.
  • the apparatus further includes an identified side network unit configured to support communication between each unit of the apparatus and the visual recognition device.
  • the visual recognition feature includes at least one of the following: a label, a device graphic, a device image, and a visual signal.
  • a system for implementing visual recognition comprising: a visual recognition device, and a device to be identified; wherein the visual recognition device is configured to learn a visual recognition feature of the identified device, and visually recognize the identified device according to the visual recognition device;
  • the identified device is configured to provide the visual identification feature to the visual recognition device.
  • the embodiment of the invention can realize automatic recognition of the device in a visual manner, and the user can easily select the device to be controlled through the interface provided by the visual recognition device during operation, and also facilitate the device to be controlled when the gesture is controlled, and the user is simplified. Operation improves the user experience and reduces the cost of all parties in the industry chain.
  • FIG. 1 is a schematic flow chart of implementing visual recognition according to an embodiment of the present invention
  • FIG. 2 is a schematic diagram of a principle for implementing visual recognition according to an embodiment of the present invention.
  • FIG. 3 is a schematic diagram of a visual indication according to an embodiment of the present invention.
  • FIG. 4 is a schematic diagram of a visual indication according to another embodiment of the present invention.
  • FIG. 5 is a system diagram for implementing visual recognition according to an embodiment of the present invention.
  • FIG. 6 is a flowchart of implementing visual recognition according to an embodiment of the present invention
  • FIG. 7 is a flowchart of implementing visual recognition according to another embodiment of the present invention. detailed description
  • a method for device identification provided by the embodiment of the present invention, as shown in FIG. 1 , mainly includes:
  • Step 101 The visual recognition device collects visual recognition features of the identified device.
  • the visual identification feature is a feature that visually identifies the identified device, such as a label, device graphic or image, and the like.
  • the visual recognition device may receive a broadcast or multicast message sent by the identified device, where the broadcast or multicast message includes a visual recognition feature of the identified device; or
  • the visual recognition device transmits a query broadcast or multicast message and receives a response message returned by the identified device supporting visual recognition, the response message including a visual identification feature of the identified device.
  • Step 102 The visual recognition device visually recognizes the identified device according to the collected visual recognition features.
  • the visual recognition device may randomly or periodically collect images or video clips in the visual range through the camera, analyze the collected images or video clips, and obtain an analysis result to check whether there is an identifiable device; Based on the analysis results, and in conjunction with the collected visual identification features of the identified device, the identified device is identified.
  • the visual recognition device may extract at least one of the following visual identifiers of the identified device from the captured image or video clip: a barcode label, a two-dimensional code label, a text label, a trademark logo, and the like.
  • the identified device can also emit a visual signal. Specifically, after the visual recognition device completes the visual recognition of the identified device, the recognition result may be confirmed to the identified device to ensure the accuracy of the visual recognition.
  • the recognition result confirmation can be implemented by means of emitting a visual signal.
  • the visual recognition device measures spatial location information of the identified device, and the spatial location information may be described at least as one of the following location information of the identified device relative to the visual recognition device: 3D coordinates, angles, distances. The spatial location information can be recorded.
  • FIG. 2 is a schematic diagram of an application scenario in the embodiment of the present invention.
  • There are four devices in the application scenario namely, a visual recognition device, a television (TV), a DVD player, and a home storage server.
  • the positional relationship of all devices is: there is no occlusion between the visual recognition device and any other device, that is, if the visual recognition device emits light, the light can be directly irradiated to the TV without being blocked. , DVD player, home storage server.
  • embodiments of the present invention do not limit the light emitted by the visual recognition device to a unique angle.
  • Network devices are available on all four devices, such as IEEE 802.11b/g/n or IEEE 802.3-enabled network interfaces to connect to IP networks. Each device can send and receive messages with other devices, process control commands or hand over control commands.
  • UPnP Universal Plug and Play
  • mDNS Multicast Domain Name System
  • DNS-SD Domain Name System-based service discovery
  • media display devices such as TV
  • servers such as DVD players, home storage servers
  • the visual recognition device also includes a camera with image and video capture capabilities, and the visual recognition device has a ranging function.
  • the functions that the visual recognition device's camera can perform are: taking pictures of the devices within the camera's visual range, and identifying the information on the device's tags; receiving visual signals from other devices.
  • the ranging function is used to measure the distance between the visual recognition device and the identified device, and can be implemented by using a special ranging module, such as a laser infrared range finder, using infrared rays.
  • the propagation and reflection calculate the distance between the visual recognition device and the identified device; in practice, a laser infrared range finder with an accuracy of about 2 mm can be selected.
  • the visual recognition device can identify the device within its visual range.
  • the specific implementation method can be: the camera rotates in a three-dimensional space to acquire an image, and the ranging module analyzes and searches for a predefined image in the image collected by the camera.
  • the camera of the visual recognition device collects an image by photographing. There are three devices in the image: TV, DVD player and home storage server. These three devices are pasted or printed, and barcodes are embedded and/or Or QR code label.
  • the image recognition device After the image recognition device analyzes the image, it identifies that the image has a plurality of visual identifiers for identifying the identified device, separately identifies the visual identifiers, and stores the identified information, and then performs distance measurement on the device where the visual identifier is located. The distance measurement result is stored together with the information of the visual identification.
  • the visual recognition device receives feature images (such as device photo data of various angles) sent from devices such as TVs, DVD players, and home storage servers, and then captures the feature images from the captured images.
  • feature images such as device photo data of various angles
  • the panoramic image is retrieved, and the position of the device is measured and recorded accordingly.
  • This embodiment can be implemented using techniques such as feature detection and matching in computer vision technology.
  • the information on the barcode label on the device is "dvdplayer-192.1.1.1", indicating that the device is a DVD player with a network address of 192.1.1.1. If the barcode label is pasted or printed, embedded in a DVD player, it can be captured by the camera of the visual recognition device, which will recognize and store this information.
  • the information on the QR code label on the device is "tv-192.1.1.2", indicating that the device is a TV set with a network address of 192.1.1.2. If the QR code label is pasted or printed, Mounted on the TV, it can be captured by the camera of the visual recognition device, which will recognize and store this information.
  • the above-mentioned visual identity for identifying the identified device may also include more content, including, for example, a short name of the device, a custom name, and the like.
  • the recognized device can be identified by a character recognition method, that is, the text is marked on the identified device, for example, directly pasted on the television and written with "tv-192.1.1.2"
  • the paper tag identifies the text on the paper by the visual recognition device to identify the device.
  • the embodiment of the present invention further provides a device for identifying a device.
  • the system includes a visual identification device and a recognized device, where the identified device includes an identified side control unit, The identified side execution unit and the identified side network unit.
  • the identified side control unit is configured to perform logic control related to visual recognition on the identified device side; the identified side execution unit is configured to perform a specific operation involving visual recognition according to the logic control;
  • the identified side network unit is configured to implement communication between the identified device and the visual recognition device.
  • the identified side network unit includes a network interface, and is capable of executing the identified device and the visual recognition device based on the indication of the identified side control unit Interconnection and messaging.
  • the identified side control unit can instruct the recognized side execution unit to transmit a visual identification feature to the visual recognition device (such as carrying the visual recognition feature in a broadcast or multicast message and transmitting) And visually recognizing the identified device for the visual recognition device.
  • the identified side control unit may also receive and analyze the query broadcast or multicast message sent by the visual recognition device, and according to the analysis result, the identified side execution unit sends a response message to the visual recognition device, where the response message is Includes visually identifiable features of the identified device.
  • the recognized side execution unit may also issue a visual signal, which may be performed by the identified side execution unit in accordance with an instruction of the identified side control unit.
  • the visual signal may be various visible light signals, invisible light signals, and characteristics of the optical signals (such as variations in optical signals), or may be graphics and images on the display screen, as follows:
  • the white light beam flashes regularly, for example, flashing several times per second, each time lasting for several times, and flashing for several seconds;
  • the light at a certain frequency continues to emit for several seconds
  • the identified device may be provided with a visual identifier for identifying the identified device for visually representing the device.
  • the visual indicia may be at least a photo of the label or device attached to the exterior (a photo of one or more angles), a picture, a logo, or other graphic, image or video clip displayed on the screen. These visual indicia can also be used as visually recognizable features that are sent to the visual recognition device by the identified device.
  • the visual recognition device includes an identification side control unit, an identification side execution unit, and an identification side network unit.
  • the identification side control unit is configured to perform logic control related to visual recognition on the visual recognition device side;
  • the recognition side execution unit is configured to perform a specific operation involving visual recognition according to logic control of the identification side control unit
  • the identification side network unit is configured to support communication between the visual recognition device and the identified device.
  • the identification side network unit includes a network interface capable of performing interconnection between the visual recognition device and the identified device based on the indication of the identification side control unit And messaging.
  • the identification side network unit receives a broadcast or multicast message sent by the identified device,
  • the broadcast or multicast message includes a visual identification feature of the identified device; or, the identification side network unit sends a query broadcast or multicast message, and receives a response message returned by the identified device, where the response message includes Identify the visual identity of the device.
  • the identification-side control unit is capable of visually recognizing the identified device based on the collected visual recognition features.
  • the identification side control unit can instruct the recognition side execution unit to acquire an image or a video segment in a visual range through the camera; the recognition side control unit can also analyze the collected image or video segment, according to the analysis result and The visual recognition feature of the identified device performs identification of the identified device. For example, the collected image or video clip is analyzed to obtain a visual identifier for identifying the identified device, and the visual identifier is compared with the visually recognized feature of the identified device to identify the identified device.
  • the identification side control unit is further capable of instructing the identification side execution unit to collect a visual signal from the identified device, and accordingly confirms the recognition result with the identified device.
  • the identification side control unit may further control the spatial position information of the identified device by controlling a ranging module (such as a laser infrared range finder).
  • the ranging module may be disposed in the identification side execution unit.
  • the visual identification device can also include a storage unit configured to store spatial location information, visual identification features of the identified device.
  • the storage unit is also capable of storing information such as the device identification, network address, and the like of the identified device.
  • the spatial location information may be a geometric parameter of the device that is identified when the visual recognition device is the origin of the spatial coordinate, such as three-dimensional space coordinates, vector coordinates, and the like. Data stored in the visual identity device can be used by units within the device or for other devices.
  • the storage unit may provide spatial location information of the identified device to a gesture recognition unit (not shown) for subsequent gesture recognition, and the gesture recognition unit determines the position of the recognized device according to the gesture. The object to be manipulated by the gesture.
  • Step 601 The visual recognition device issues a query broadcast.
  • the visual identity device can first issue a query broadcast or multicast message to query which devices in the network support visual recognition.
  • the identified device may also first issue a broadcast or multicast message to publish information about the device, including whether to support visual recognition.
  • Step 602 The identified device that receives the query broadcast determines whether it supports visual recognition. If yes, perform step 603; otherwise, the process ends.
  • Step 603 The identified device supporting the visual recognition sends a response message to the visual recognition device, where the response message includes visual identification features, such as: a label, a device graphic, a device image, a visual signal, etc., and may also include whether the identified device provides visual confirmation. Functional information.
  • Step 604 The visual recognition device receives a response message of the identified device.
  • the visual identity device Upon receipt of the response message, the visual identity device visually identifies based on the data in the response message. This includes: Randomly or periodically capturing images within the visual range through the camera, and then analyzing the captured images to see if there is an identifiable identified device. For example: analyzing the collected image to determine whether there is a barcode or a two-dimensional code in the image, identifying the barcode, the information identified by the two-dimensional code when the barcode or the two-dimensional code is found, and using the information with the The visual recognition features of the identification device are compared to identify the identified device. In this embodiment, the barcode device and the two-dimensional code are used to identify the identified device and the recognition result is recorded by the visual recognition device.
  • the visual recognition device can search for an object corresponding to the image and the graphic provided by the identified device according to the acquired image, thereby determining the identified device.
  • Step 605 the visual recognition device determines whether it is necessary to confirm the visual feature, and if necessary, performs step 606, otherwise ends the process.
  • the visual recognition device may be based on the identified device included in the response message of the identified device No information on the visual confirmation function is provided to determine whether visual features need to be confirmed.
  • Step 606 the identified device is visually confirmed with the visual recognition device.
  • the identified device can confirm with the visual identity device in one of the following ways:
  • the white light beam flashes regularly, for example, flashing several times per second, each time lasting for several times, and flashing for several seconds;
  • the light at a certain frequency continues to emit for several seconds
  • the visual recognition device needs to know in advance the regular change of the characteristics of the optical signal when it is confirmed by the identified device, thereby achieving visual confirmation. It should be noted that the visual mode in the embodiment of the present invention may be confirmed by visible light, invisible light, image, graphic, or the like.
  • the visual recognition device performs visual scanning detection and visual confirmation of the identified device;
  • the identified device may be a television, a DVD player, or the like.
  • the visual recognition device sends a query broadcast message, and the content of the message is described in the foregoing corresponding embodiment, and details are not described herein again;
  • the device 1 supports visual recognition, sends a response message, and indicates to the visual recognition device the visual recognition feature of the device; the device 2 does not support visual recognition, and does not respond to the visual recognition device; visually confirms the visual recognition device and the device 1
  • the confirmation is based on computer vision, and may be visible light, invisible light, image, graphic, etc., as described in the foregoing corresponding embodiments, and details are not described herein again.
  • a television set, a DVD player, and a storage server are used as the identified device, and the embodiment of the present invention is not limited to the above device; in practical applications, a computer, an audio, a speaker, a projector, a set top box, etc. may be used.
  • the identified device in the embodiment of the present invention even other devices in the industry, such as automobiles, machine tools, ships, etc., can be performed by the visual recognition device. Identification.
  • the camera of the visual recognition device may be of various specifications, for example, it may be a fixed focal length or a zooming distance, and the rotating space may be at an angle of up, down, left, and right, or only support left and right angles.
  • the range finder can use laser infrared range finder, or other range of light measurement range finder; you can use three camera ranging, or you can use more cameras to measure distance using weight adjustment.
  • the network related technologies may be based on IEEE 802.3, IEEE 802.11b/g/n, power line (POWELINE), cable television cable (CABLE), Public Switched Telephone Network (PSTN), IP network supported by 3GPP, 3rd Generation Partnership Project network, 3GPP2 network, etc.
  • the operating system of each device can be applied to UNIX operating systems, WINDOWS operating systems, ANDROID operating systems, IOS.
  • the operating system, etc. can be applied to the JAVA language interface for the user interface.
  • the integrated units, modules, etc., as described in the embodiments of the present invention may also be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a standalone product. Based on such understanding, the technical solution of the embodiments of the present invention may be embodied in the form of a software product in essence or in the form of a software product.
  • the computer software product is stored in a storage medium and includes a plurality of instructions.
  • a computer device (which may be a personal computer, server, or network device, etc.) is caused to perform all or part of the methods described in various embodiments of the present invention.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and the like, which can store program codes. .
  • ROM read-only memory
  • RAM random access memory
  • magnetic disk or an optical disk and the like, which can store program codes.
  • the embodiment of the present invention further provides a computer storage medium, wherein a computer program is stored, and the computer program is used to execute the device identification method of the embodiment of the present invention.
  • the identified side control unit may be a control chip, a single chip microcomputer, or the like in the identified device; the recognized side execution unit may be a CPU or the like in the identified device; the identified side network unit may be the identified device Communication modules, such as transceivers.
  • the identification side control unit may be a control chip, a single chip microcomputer or the like in the visual recognition device; the recognition side execution unit may be a CPU in the visual recognition device, etc.; the identification side network unit may be a communication module in the visual recognition device, such as a transceiver Wait.
  • the above-mentioned storage unit may be a memory, a database, or the like; the above-mentioned gesture recognition unit may be various devices commonly used for gesture recognition.

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Abstract

本发明公开了一种实现视觉识别的方法、装置和系统,视觉识别设备获知被识别设备的视觉识别特征,据此对所述被识别设备进行视觉识别。本发明实现了以视觉方式对设备的自动识别,并能简便实现对识别的多台设备的统一操控。

Description

一种实现视觉识别的方法、 装置和系统 技术领域
本发明涉及通信领域, 具体涉及一种实现视觉识别的方法、 装置和系 统。 背景技术
数字多媒体和网络的发展, 丰富了人们日常生活中的娱乐体验。 目前 的技术让人们在家里能够观看高清电视, 电视节目的来源包括数字光盘、 有线电视、 互联网等, 而且人们还能够使用 PAD (平板电子设备)、 手机来 实现这些体验; 现有技术还包括, 人们能够通过网络在不同设备之间转移 数字内容的播放, 以及通过遥控器、 手势控制一台设备的播放, 例如: 控 制频道切换、 控制音量等。
随着技术的发展, 多台设备之间的内容播放共享、 转移需求越来越多; 传统的对设备的控制方法包括: 使用设备的遥控器进行控制、 在具有计算 和网络能力的设备(如手机、 PAD )上加载支持互通协议的软件实现对另 一台设备的控制、 通过手势来控制有手势识别功能的设备等。 其中, 不同 设备的遥控器往往是互不通用的, 且遥控器大多不具备网络功能, 因此通 过遥控器实现对多台设备的控制需要不断地更换遥控器, 操作复杂; 通过 具有计算和网络能力的设备、 或手势控制设备时, 需要用户学习使用不同 的操作工具, 也不方便。
因此, 如何实现对设备的自动识别, 是目前亟待解决的问题。 发明内容
有鉴于此, 本发明实施例的主要目的在于提供一种实现视觉识别的方 法、 装置和系统, 以实现对设备的自动识别。
为达到上述目的, 本发明实施例的技术方案是这样实现的:
一种实现视觉识别的方法, 包括:
视觉识别设备获知被识别设备的视觉识别特征, 据此对所述被识别设 备进行视觉识别。
其中, 获知所述视觉识别特征的方法为:
所述视觉识别设备接收所述被识别设备发出的消息, 所述消息中包括 所述被识别设备的视觉识别特征; 或,
所述视觉识别设备向所述被识别设备发送消息, 并接收所述被识别设 备返回的响应消息, 所述响应消息中包括所述被识别设备的视觉识别特征。
其中, 对所述被识别设备进行视觉识别的过程包括:
获取用于识别出被识别设备的视觉标识, 将该视觉标识与所述被识别 设备的视觉识别特征进行比对, 识别出被识别设备。
其中, 获取所述视觉标识的方法为:
所述视觉识别设备通过摄像头采集视觉范围内的图像或视频片断, 并 对采集到的图像或视频片断进行分析以得到所述视觉标识; 或,
所述视觉识别设备读取自身预先存储的视觉标识。
其中, 所述视觉标识包括以下至少之一: 条形码标签、 二维码标签、 文字标签、 商标标识。
其中, 所述视觉识别设备在完成对被识别设备的视觉识别后, 还与所 述被识别设备进行识别结果确认。
其中, 所述识别结果确认, 是以所述被识别设备向所述视觉识别设备 发出视觉信号的方式实现的。
其中, 所述视觉信号包括以下至少之一: 可见光信号、 不可见光信号、 光信号特征、 显示屏上的图形、 图像。 其中, 该方法还包括: 在完成对被识别设备的视觉识别后, 所述视觉 识别设备还测量所述被识别设备的空间位置信息。
其中, 所述视觉识别特征包括以下至少之一: 标签、 设备图形、 设备 图像、 视觉信号。
一种实现视觉识别的装置, 该装置为视觉识别设备; 所述装置包括识 别侧控制单元、 识别侧执行单元; 其中,
所述识别侧控制单元, 配置为获知被识别设备的视觉识别特征, 据此 控制所述识别侧执行单元对所述被识别设备进行视觉识别;
所述识别侧执行单元, 配置为根据所述识别侧控制单元的控制, 对所 述被识别设备进行视觉识别。
其中, 所述识别侧控制单元在获知所述视觉识别特征时, 配置为: 接收所述被识别设备发出的消息, 所述消息中包括所述被识别设备的 视觉识别特征; 或,
向所述被识别设备发送消息, 并接收所述被识别设备返回的响应消息, 所述响应消息中包括所述被识别设备的视觉识别特征。
其中, 所述识别侧执行单元在对所述被识别设备进行视觉识别时, 配 置为:
获取用于识别出被识别设备的视觉标识, 将该视觉标识与所述被识别 设备的视觉识别特征进行比对, 识别出被识别设备。
其中, 所述识别侧执行单元在获取所述视觉标识时, 配置为: 通过摄像头采集视觉范围内的图像或视频片断, 并对采集到的图像或 视频片断进行分析以得到所述视觉标识; 或,
读取所述视觉识别设备中预先存储的视觉标识。
其中, 所述视觉标识包括以下至少之一: 条形码标签、 二维码标签、 文字标签、 商标标识。 其中, 所述识别侧控制单元, 还配置为在完成对被识别设备的视觉识 别后, 控制所述识别侧执行单元与所述被识别设备进行识别结果确认。
其中, 进行所述识别结果确认时, 所述识别侧执行单元配置为接收所 述被识别设备发出的视觉信号, 以实现识别结果确认。
其中, 所述视觉信号包括以下至少之一: 可见光信号、 不可见光信号、 光信号特征、 显示屏上的图形、 图像。
其中, 在完成对被识别设备的视觉识别后, 所述识别侧控制单元还配 置为控制所述识别侧执行单元, 测量所述被识别设备的空间位置信息。
其中, 所述装置还包括存储单元, 配置为存储识别所述被识别设备的 信息。
其中, 所述装置还包括识别侧网络单元, 配置为支持所述装置中各单 元与所述被识别设备之间的通信。
其中, 所述视觉识别特征包括以下至少之一: 标签、 设备图形、 设备 图像、 视觉信号。
一种实现视觉识别的装置, 该装置为被识别设备; 所述装置包括被识 别侧控制单元、 被识别侧执行单元; 其中,
所述被识别侧控制单元, 配置为控制所述被识别侧执行单元, 向视觉 识别设备提供所述被识别设备的视觉识别特征;
所述被识别侧执行单元, 配置为根据所述被识别侧控制单元的控制, 向视觉识别设备提供所述视觉识别特征。
其中, 所述被识别侧执行单元在提供所述视觉识别特征时, 配置为: 向所述视觉识别设备发出消息, 所述消息中包括所述视觉识别特征; 或,
接收来自所述视觉识别设备的消息, 向所述视觉识别设备返回响应消 息, 所述响应消息中包括所述视觉识别特征。 其中, 所述被识别侧控制单元, 还配置为控制所述被识别侧控制单元 与所述视觉识别设备进行识别结果确认。
其中, 进行所述识别结果确认时, 所述被识别侧控制单元配置为向所 述视觉识别设备发出视觉信号, 以实现识别结果确认。
其中, 所述视觉信号包括以下至少之一: 可见光信号、 不可见光信号、 光信号特征、 显示屏上的图形、 图像。
其中, 所述装置还包括被识别侧网络单元, 配置为支持所述装置中各 单元与所述视觉识别设备之间的通信。
其中, 所述视觉识别特征包括以下至少之一: 标签、 设备图形、 设备 图像、 视觉信号。
一种实现视觉识别的系统, 包括视觉识别设备、 被识别设备; 其中, 所述视觉识别设备, 配置为获知所述被识别设备的视觉识别特征, 据 此对所述被识别设备进行视觉识别;
所述被识别设备, 配置为向所述视觉识别设备提供所述视觉识别特征。 本发明实施例能够实现以视觉方式对设备的自动识别, 用户在操作时 可以通过视觉识别设备提供的界面容易地选择要操控的设备, 还方便手势 操控时确定被操控的设备, 简化的了用户操作, 提高了用户体验, 还降低 了产业链上各方的成本。 附图说明
图 1为本发明实施例实现视觉识别的流程简图;
图 2为本发明实施例实现视觉识别的原理示意图;
图 3为本发明一实施例视觉标识的示意图;
图 4为本发明另一实施例的视觉标识的示意图;
图 5为本发明实施例实现视觉识别的系统图;
图 6为本发明一实施例实现视觉识别的流程图; 图 7为本发明另一实施例实现视觉识别的流程图。 具体实施方式
下面结合附图和具体实施例对本发明的技术方案进一步详细阐述。 为实现以视觉方式对设备的自动识别, 本发明实施例提供的一种设备 识别的方法, 如图 1所示, 主要包括:
步骤 101, 视觉识别设备收集被识别设备的视觉识别特征。
所述视觉识别特征是在视觉上能够识别被识别设备的特征, 如标签、 设备图形或图像等。
具体的, 视觉识别设备可以接收被识别设备发出的广播或多播消息, 所述广播或多播消息中包括被识别设备的视觉识别特征; 或,
视觉识别设备发送查询广播或多播消息, 并接收支持视觉识别的被识 别设备所返回的响应消息, 所述响应消息中包括被识别设备的视觉识别特 征。
步骤 102,视觉识别设备根据所收集的视觉识别特征,对被识别设备进 行视觉识别。
具体而言, 视觉识别设备可以随机或周期性地通过摄像头采集视觉范 围内的图像或视频片断, 并对采集到的图像或视频片断进行分析并得到分 析结果, 以检查是否存在可识别的设备; 根据所述分析结果, 并结合所收 集的被识别设备的视觉识别特征, 识别被识别设备。
视觉识别设备可以从采集到的图像或视频片断中提取被识别设备的以 下至少一种视觉标识: 条形码标签、 二维码标签、 文字标签、 商标标识等。
除了向所述视觉识别设备返回响应消息以外, 被识别设备还可以发出 视觉信号。 具体而言, 所述视觉识别设备在完成对被识别设备的视觉识别 后, 还可以向该被识别设备进行识别结果确认, 以保证视觉识别的准确性。 所述识别结果确认可以采用发出视觉信号的方式实现。 在完成对被识别设备的视觉识别后, 视觉识别设备测量所述被识别设 备的空间位置信息, 所述空间位置信息至少可以描述为被识别设备相对于 视觉识别设备的以下位置信息之一: 空间三维坐标、 角度、 距离。 所述空 间位置信息可以被记录下来。
下面结合具体实施例对上述设备识别的方法进一步详细阐述。
图 2是本发明实施例的一种应用场景示意图, 该应用场景中有四台设 备, 分别是视觉识别设备、 电视机(TV )、 DVD播放器、 家庭存储服务器。 在本实施例中, 所有设备放置的位置关系是: 视觉识别设备与其它任何设 备之间没有遮挡, 也就是说, 如果视觉识别设备发出光线, 那么光线能够 不受阻挡而直接照射到所述 TV、 DVD播放器、 家庭存储服务器上。 当然, 本发明实施例并不限定视觉识别设备发出的光线是唯一角度的。
四台设备上都有网络接口, 例如支持 IEEE 802.11b/g/n或支持 IEEE 802.3的网络接口, 从而可以连接到 IP网络。 各设备能与其他设备发送、接 收消息, 处理操控指令或转交操控指令等。
这种设备在网络上的互相发现、 连接, 以及发送与接收消息能力, 可 以使用通用即插即用( UPnP )技术实现,也可以使用多播域名系统( mDNS ) 和基于域名系统的服务发现(DNS-SD )技术实现; 这一类技术用在 IP 网 络中, 以单播、 多播查询方式, 按照预先定义的报文格式响应查询、 提供 功能调用。 例如, UPnP 技术规定了媒体显示设备(如 TV )、 服务器(如 DVD播放器、 家庭存储服务器)如何响应查询、 提供哪些调用功能。
视觉识别设备还包括一个具有图像、 视频采集能力的摄像头, 视觉识 别设备具备测距功能。 视觉识别设备的摄像头能够完成的功能有: 对摄像 头视觉范围内的设备拍照, 并识别出设备的标签上的信息; 接收其它设备 的视觉信号。 所述测距功能用于测量视觉识别设备与被识别设备之间的距 离, 可以采用专门的测距模块来实现, 如激光红外线测距仪, 利用红外线 的传播和反射计算视觉识别设备与被识别设备之间的距离; 实际应用中可 以选择使用精度在 2毫米左右的激光红外线测距仪。
在本实施例中, 视觉识别设备可以识别其视觉范围内的设备, 具体的 实现方法可以是: 摄像头在三维空间内旋转以采集图像, 由测距模块在摄 像头所采集的图像中分析查找预定义的视觉标识并进行分析, 这里, 预定 义的视觉标识可以是预先存储在视觉识别设备中的图像、 图形 (这种情况 下, 视觉识别设备可以读取自身预先存储的视觉标识), 也可以是接收到的 来自被识别设备的图像、 图形。 在图 2 中, 视觉识别设备的摄像头通过拍 照的方式采集到一幅图像, 图像中有三台设备: TV、 DVD播放器和家庭存 储服务器, 这三台设备上粘贴或印刷、 镶嵌了条形码和 /或二维码标签。 视 觉识别设备对图像进行分析后, 识别出图像中有若干用于识别出被识别设 备的视觉标识, 对视觉标识分别进行识别并存储识别出的信息, 然后对视 觉标识所在的设备进行距离测量, 将距离测量结果和所述视觉标识的信息 一起存储。
本发明的另一实施例是, 视觉识别设备接收到来自 TV、 DVD播放器 和家庭存储服务器等设备发来的特征图像(如各角度的设备照片数据等), 然后将该特征图像从捕获的全景图像中检索出来, 据此测量、 记录所述设 备的位置。 这一实施例可以使用计算机视觉技术中的特征检测与匹配等技 术实现。
图 3中, 设备上的条形码标签上的信息为 "dvdplayer-192.1.1.1", 表示 该设备是一台 DVD播放器, 网络地址为 192.1.1.1。 如果将该条形码标签粘 贴或印刷、镶嵌在 DVD播放器上,则能够被视觉识别设备的摄像头采集到, 视觉识别设备将识别和存储这一信息。
图 4中, 设备上的二维码标签上的信息为 "tv-192.1.1.2", 表示该设备 是一台电视机, 网络地址为 192.1.1.2。 如果将该二维码标签粘贴或印刷、 镶嵌在电视机上, 则能够被视觉识别设备的摄像头采集到, 视觉识别设备 将识别和存储这一信息。
上述用于识别出被识别设备的视觉标识还可以包括更多的内容, 例如 包括设备的简称、 自定义名称等。
除了涉及图 3、 图 4的上述实施例,还可以用文字识别的方法识别出被 识别设备, 即将文字标注在被识别设备上, 例如, 在电视上直接粘贴写有 "tv-192.1.1.2"的纸签, 由视觉识别设备识别该纸签上的文字, 从而识别设 备。
对应上述设备识别的方法, 本发明实施例还提供了一种设备识别的系 统, 如图 5 所示, 该系统包括视觉识别设备和被识别设备, 其中, 被识别 设备包括被识别侧控制单元、 被识别侧执行单元、 被识别侧网络单元。 总 体而言, 所述被识别侧控制单元配置为进行所述被识别设备侧的涉及视觉 识别的逻辑控制; 所述被识别侧执行单元配置为根据所述逻辑控制进行涉 及视觉识别的具体操作; 所述被识别侧网络单元配置为实现被识别设备与 视觉识别设备之间的通信。
具体而言, 作为被识别设备与视觉识别设备之间的交互接口, 所述被 识别侧网络单元包括网络接口, 能够基于所述被识别侧控制单元的指示, 执行被识别设备与视觉识别设备之间的互连和消息收发。
作为被识别设备的协调控制单元, 所述被识别侧控制单元能够指示所 述被识别侧执行单元向视觉识别设备发送视觉识别特征(比如将视觉识别 特征携带于广播或多播消息中并发送), 供所述视觉识别设备对所述被识别 设备进行视觉识别。 当然, 所述被识别侧控制单元也可以接收并分析所述 视觉识别设备发出的查询广播或多播消息, 根据分析结果指示被识别侧执 行单元向视觉识别设备发送响应消息, 所述响应消息中包括被识别设备的 视觉识别特征。 除了向所述视觉识别设备返回响应消息以外, 所述被识别侧执行单元 还可以发出视觉信号, 该操作可以是所述被识别侧执行单元根据所述被识 别侧控制单元的指示进行的。
所述视觉信号可以是各种可见光信号、 不可见光信号, 及光信号的特 征(比如光信号的变化规律), 也可以是显示屏上的图形、 图像, 举例如下:
1、 白色光束的有规律闪烁, 比如, 每秒内闪烁若干次, 每次持续若干 时间, 共闪烁若干秒;
2、 红、 绿、 蓝光交替闪亮, 持续若干次;
3、 某频率上的光, 持续发射若干秒;
4、在显示屏上显示被识别设备的一个或多个角度的照片、或其它图形、 图像、 视频等。
需要说明的是, 所述被识别设备上可以设置有用于识别出被识别设备 的视觉标识, 用于以视觉方式表示本设备。 所述视觉标识至少可以是贴在 外表的标签或设备的照片 (一个或多个角度的照片)、 图片、 商标标识, 或 其它显示在屏幕上的图形、 图像或视频片断。 这些视觉标识也可以作为被 识别设备发送给视觉识别设备的视觉识别特征。
所述视觉识别设备包括识别侧控制单元、 识别侧执行单元、 识别侧网 络单元。 总体而言, 所述识别侧控制单元配置为进行视觉识别设备侧的涉 及视觉识别的逻辑控制; 所述识别侧执行单元配置为根据所述识别侧控制 单元的逻辑控制进行涉及视觉识别的具体操作; 所述识别侧网络单元配置 为支持视觉识别设备与被识别设备之间的通信。
具体而言, 作为视觉识别设备与被识别设备之间的交互接口, 所述识 别侧网络单元包括网络接口, 能够基于识别侧控制单元的指示, 执行视觉 识别设备与被识别设备之间的互连和消息收发。
比如: 所述识别侧网络单元接收被识别设备发出的广播或多播消息, 所述广播或多播消息中包括被识别设备的视觉识别特征; 或, 所述识别侧 网络单元发送查询广播或多播消息, 并接收被识别设备返回的响应消息, 所述响应消息中包括被识别设备的视觉识别特征。
作为视觉识别设备的协调控制单元, 所述识别侧控制单元能够根据所 收集的视觉识别特征, 对被识别设备进行视觉识别。
比如: 所述识别侧控制单元能够指示识别侧执行单元, 通过摄像头采 集视觉范围内的图像或视频片断; 所述识别侧控制单元还能够对采集到的 图像或视频片断进行分析, 根据分析结果以及被识别设备的视觉识别特征, 进行所述被识别设备的识别。 比如: 对采集到的图像或视频片断进行分析 以得到用于识别出被识别设备的视觉标识, 将该视觉标识与所述被识别设 备的视觉识别特征进行比对, 以识别出被识别设备。
所述识别侧控制单元还能够指示所述识别侧执行单元采集来自被识别 设备的视觉信号, 并据此与被识别设备进行识别结果确认。
另外, 在完成对被识别设备的视觉识别后, 所述识别侧控制单元还可 以控制测距模块(如: 激光红外线测距仪) 测量所述被识别设备的空间位 置信息。 所述测距模块可以设置于所述识别侧执行单元中。
所述视觉识别设备还可以包括存储单元, 配置为存储所述被识别设备 的空间位置信息、 视觉识别特征。 存储单元还能够存储被识别设备的设备 标识、 网络地址等信息。 其中, 所述空间位置信息可以是在视觉识别设备 为空间坐标原点时被识别设备的几何参数, 如三维空间坐标、 向量坐标等。 视觉识别设备中存储的数据可供本设备内的各单元使用, 也可以提供给其 他设备使用。 作为实施例, 存储单元可以提供被识别设备的空间位置信息 给后续用于进行手势识别的手势识别单元(图中未示出)使用, 由手势识 别单元根据手势指向、 被识别设备的位置来判断手势所要操控的对象。
下面结合图 6所示的流程进一步阐述本发明实施例, 图 6所示流程主 要包括以下步骤:
步骤 601, 视觉识别设备发出查询广播。
视觉识别设备可以首先发出查询广播或多播消息, 查询网络中有哪些 设备支持视觉识别。
作为另一个实施例, 被识别设备也可以首先发出广播或多播消息, 发 布本设备的信息, 包括是否支持视觉识别。
步骤 602, 收到查询广播的被识别设备判断自身是否支持视觉识别, 如 果支持, 执行步骤 603; 否则结束流程。
步骤 603, 支持视觉识别的被识别设备向视觉识别设备发出响应消息, 该响应消息包括视觉识别特征, 如: 标签、 设备图形、 设备图像、 视觉信 号等, 还可以包括被识别设备是否提供视觉确认功能的信息。
步骤 604, 视觉识别设备接收被识别设备的响应消息。
接收到响应消息后, 视觉识别设备根据响应消息中的数据, 进行视觉 识别。 包括: 随机或周期性地通过摄像头采集视觉范围内的图像, 然后对 采集到的图像进行分析, 检查是否有可识别的被识别设备。 比如: 对采集 到的图像进行分析以确定所述图像中是否有条形码、 二维码, 在发现条形 码、 二维码时识别出条形码、 二维码所标识的信息, 用该信息与所述被识 别设备的视觉识别特征进行比对, 以识别出被识别设备。 本实施例用条形 码、 二维码来标识被识别设备并由视觉识别设备记录识别结果。
根据被识别设备提供的视觉识别特征, 视觉识别设备可以根据采集的 图像, 从中查找与被识别设备提供的图像、 图形相符合的对象, 从而确定 被识别设备。
步骤 605, 视觉识别设备判断是否需要确认视觉特征, 如果需要, 执行 步骤 606, 否则结束流程。
视觉识别设备可以根据被识别设备的响应消息中包括的被识别设备是 否提供视觉确认功能的信息, 来判断是否需要确认视觉特征。
步骤 606, 被识别设备以视觉方式与视觉识别设备确认。
被识别设备可以通过以下方式之一, 与视觉识别设备确认:
1、 白色光束的有规律闪烁, 比如, 每秒内闪烁若干次, 每次持续若干 时间, 共闪烁若干秒;
2、 红、 绿、 蓝光交替闪亮, 持续若干次;
3、 某频率上的光, 持续发射若干秒;
4、 在显示屏上显示被识别设备的一个或多个角度的照片、 其它图形、 图像或视频等。
视觉识别设备需要预先获知被识别设备确认时的光信号特征的规律变 化, 从而实现视觉方式的确认。 需要说明的是, 本发明实施例中的视觉方 式的确认, 可以是通过可见光、 不可见光、 图像、 图形等进行确认。
再参见图 7, 本实施例中,视觉识别设备完成被识别设备的视觉扫描发 现和视觉方式的确认; 被识别设备可以是电视机、 DVD播放机等。
视觉识别设备发出查询广播消息, 消息内容参见前述相应实施例中的 描述, 此处不再赘述;
设备 1 支持视觉识别, 发出响应消息, 向视觉识别设备指示本设备的 视觉识别特征; 设备 2不支持视觉识别, 从而不向视觉识别设备响应; 视觉识别设备与设备 1 之间进行视觉方式的确认, 这种确认是基于计 算机视觉的, 可以是可见光、 不可见光、 图像、 图形等, 具体参见前述相 应实施例中的描述, 此处不再赘述。
另外, 本发明实施例以电视机、 DVD播放机、 存储服务器被作为被识 别设备, 而本发明实施例并非限定于上述设备; 实际应用中, 电脑、 音响、 音箱、 投影仪、 机顶盒等都可以作为本发明实施例中被识别设备, 甚至工 业上的其它设备, 如汽车、 机床、 轮船等也都可以由视觉识别设备来进行 识别。
上述实施例中, 视觉识别设备的摄像头可以为各种规格, 例如: 可以 是固定焦距或变焦距的, 旋转空间可以是上下左右各个角度的, 或只支持 左右角度。 测距仪可以使用激光红外线测距仪, 也可以用其它波段的光测 量测距仪; 可以使用三个摄像头测距, 也可以使用更多摄像头用加权调整 等方法测距。
上述实施例中, 与网络相关的技术, 可基于 IEEE 802.3、 IEEE 802.11b/g/n、 电力线 ( POWELINE )、 有线电视电缆( CABLE )、 公共交换 电话网络( PSTN, Public Switched Telephone Network )、 第三代合作伙伴计 划 (3GPP, 3rd Generation Partnership Project ) 网络、 3GPP2网络等通讯网 络所支持的 IP 网络; 各设备的操作系统可适用于 UNIX 类操作系统、 WINDOWS类操作系统、 ANDROID类操作系统、 IOS操作系统等, 对用 户接口可适用于 JAVA语言接口等。
本发明实施例所述集成的单元、 模块等, 如果以软件功能单元的形式 实现并作为独立的产品销售或使用时, 也可以存储在一个计算机可读取存 储介质中。 基于这样的理解, 本发明实施例的技术方案本质上或者说对现 有技术做出贡献的部分可以以软件产品的形式体现出来, 该计算机软件产 品存储在一个存储介质中, 包括若干指令用以使得一台计算机设备(可以 是个人计算机、 服务器、 或网络设备等)执行本发明各个实施例所述方法 的全部或部分。而前述的存储介质包括: U盘、移动硬盘、只读存储器( ROM, Read-Only Memory )、 随机存取存储器 ( RAM, Random Access Memory )、 磁碟或光盘等各种可以存储程序代码的介质。 这样, 本发明实施例不限制 于任何特定的硬件和软件结合。
相应的, 本发明实施例还提供一种计算机存储介质, 其中存储有计算 机程序, 该计算机程序用于执行本发明实施例的设备识别的方法。 需要说明的是, 上述的被识别侧控制单元可以是被识别设备中的控制 芯片、 单片机等; 被识别侧执行单元可以是被识别设备中的 CPU等; 被识 别侧网络单元可以是被识别设备中的通信模块, 如收发器等。 上述的识别 侧控制单元可以是视觉识别设备中的控制芯片、 单片机等; 识别侧执行单 元可以是视觉识别设备中的 CPU等; 识别侧网络单元可以是视觉识别设备 中的通信模块, 如收发器等。 上述的存储单元可以是存储器、 数据库等; 上述的手势识别单元可以是目前所常见的各种用于进行手势识别的装置。
以上所述, 仅为本发明的较佳实施例而已, 并非用于限定本发明的保 护范围。

Claims

权利要求书
1、 一种实现视觉识别的方法, 包括:
视觉识别设备获知被识别设备的视觉识别特征, 据此对所述被识别设 备进行视觉识别。
2、 根据权利要求 1所述的方法, 其中, 获知所述视觉识别特征的方法 为:
所述视觉识别设备接收所述被识别设备发出的消息, 所述消息中包括 所述被识别设备的视觉识别特征; 或,
所述视觉识别设备向所述被识别设备发送消息, 并接收所述被识别设 备返回的响应消息, 所述响应消息中包括所述被识别设备的视觉识别特征。
3、 根据权利要求 1或 2所述的方法, 其中, 对所述被识别设备进行视 觉识别的过程包括:
获取用于识别出被识别设备的视觉标识, 将该视觉标识与所述被识别 设备的视觉识别特征进行比对, 识别出被识别设备。
4、 根据权利要求 3所述的方法, 其中, 获取所述视觉标识的方法为: 所述视觉识别设备通过摄像头采集视觉范围内的图像或视频片断, 并 对采集到的图像或视频片断进行分析以得到所述视觉标识; 或,
所述视觉识别设备读取自身预先存储的视觉标识。
5、 根据权利要求 3所述的方法, 其中, 所述视觉标识包括以下至少之 一: 条形码标签、 二维码标签、 文字标签、 商标标识。
6、 根据权利要求 1或 2所述的方法, 其中, 所述视觉识别设备在完成 对被识别设备的视觉识别后, 还与所述被识别设备进行识别结果确认。
7、 根据权利要求 6所述的方法, 其中, 所述识别结果确认, 是以所述 被识别设备向所述视觉识别设备发出视觉信号的方式实现的。
8、 根据权利要求 7所述的方法, 其中, 所述视觉信号包括以下至少之 一: 可见光信号、 不可见光信号、 光信号特征、 显示屏上的图形、 图像。
9、 根据权利要求 1所述的方法, 其中, 该方法还包括: 在完成对被识 别设备的视觉识别后, 所述视觉识别设备还测量所述被识别设备的空间位 置信息。
10、 根据权利要求 1 所述的方法, 其中, 所述视觉识别特征包括以下 至少之一: 标签、 设备图形、 设备图像、 视觉信号。
11、 一种实现视觉识别的装置, 该装置为视觉识别设备; 所述装置包 括识别侧控制单元、 识别侧执行单元; 其中,
所述识别侧控制单元, 配置为获知被识别设备的视觉识别特征, 据此 控制所述识别侧执行单元对所述被识别设备进行视觉识别;
所述识别侧执行单元, 配置为根据所述识别侧控制单元的控制, 对所 述被识别设备进行视觉识别。
12、 根据权利要求 11所述的装置, 其中, 所述识别侧控制单元在获知 所述视觉识别特征时, 配置为:
接收所述被识别设备发出的消息, 所述消息中包括所述被识别设备的 视觉识别特征; 或,
向所述被识别设备发送消息, 并接收所述被识别设备返回的响应消息, 所述响应消息中包括所述被识别设备的视觉识别特征。
13、 根据权利要求 11或 12所述的装置, 其中, 所述识别侧执行单元 在对所述被识别设备进行视觉识别时, 配置为:
获取用于识别出被识别设备的视觉标识, 将该视觉标识与所述被识别 设备的视觉识别特征进行比对, 识别出被识别设备。
14、 根据权利要求 13所述的装置, 其中, 所述识别侧执行单元在获取 所述视觉标识时, 配置为:
通过摄像头采集视觉范围内的图像或视频片断, 并对采集到的图像或 视频片断进行分析以得到所述视觉标识; 或,
读取所述视觉识别设备中预先存储的视觉标识。
15、 根据权利要求 13所述的装置, 其中, 所述视觉标识包括以下至少 之一: 条形码标签、 二维码标签、 文字标签、 商标标识。
16、 根据权利要求 11或 12所述的装置, 其中, 所述识别侧控制单元, 还配置为在完成对被识别设备的视觉识别后, 控制所述识别侧执行单元与 所述被识别设备进行识别结果确认。
17、 根据权利要求 16所述的装置, 其中, 进行所述识别结果确认时, 所述识别侧执行单元配置为接收所述被识别设备发出的视觉信号, 以实现 识别结果确认。
18、 根据权利要求 17所述的装置, 其中, 所述视觉信号包括以下至少 之一: 可见光信号、 不可见光信号、 光信号特征、 显示屏上的图形、 图像。
19、 根据权利要求 11所述的装置, 其中, 在完成对被识别设备的视觉 识别后, 所述识别侧控制单元还配置为控制所述识别侧执行单元, 测量所 述被识别设备的空间位置信息。
20、 根据权利要求 11所述的装置, 其中, 所述装置还包括存储单元, 配置为存储识别所述被识别设备的信息。
21、 根据权利要求 11所述的装置, 其中, 所述装置还包括识别侧网络 单元, 配置为支持所述装置中各单元与所述被识别设备之间的通信。
22、 根据权利要求 11所述的装置, 其中, 所述视觉识别特征包括以下 至少之一: 标签、 设备图形、 设备图像、 视觉信号。
23、 一种实现视觉识别的装置, 该装置为被识别设备; 所述装置包括 被识别侧控制单元、 被识别侧执行单元; 其中,
所述被识别侧控制单元, 配置为控制所述被识别侧执行单元, 向视觉 识别设备提供所述被识别设备的视觉识别特征; 所述被识别侧执行单元, 配置为根据所述被识别侧控制单元的控制, 向视觉识别设备提供所述视觉识别特征。
24、 根据权利要求 23所述的装置, 其中, 所述被识别侧执行单元在提 供所述视觉识别特征时, 配置为:
向所述视觉识别设备发出消息, 所述消息中包括所述视觉识别特征; 或,
接收来自所述视觉识别设备的消息, 向所述视觉识别设备返回响应消 息, 所述响应消息中包括所述视觉识别特征。
25、 根据权利要求 23或 24所述的装置, 其中, 所述被识别侧控制单 元, 还配置为控制所述被识别侧控制单元与所述视觉识别设备进行识别结 果确认。
26、 根据权利要求 25所述的装置, 其中, 进行所述识别结果确认时, 所述被识别侧控制单元配置为向所述视觉识别设备发出视觉信号, 以实现 识别结果确认。
27、 根据权利要求 26所述的装置, 其中, 所述视觉信号包括以下至少 之一: 可见光信号、 不可见光信号、 光信号特征、 显示屏上的图形、 图像。
28、 根据权利要求 23所述的装置, 其中, 所述装置还包括被识别侧网 络单元, 配置为支持所述装置中各单元与所述视觉识别设备之间的通信。
29、 根据权利要求 23所述的装置, 其中, 所述视觉识别特征包括以下 至少之一: 标签、 设备图形、 设备图像、 视觉信号。
30、 一种实现视觉识别的系统, 包括视觉识别设备、 被识别设备; 其 中,
所述视觉识别设备, 配置为获知所述被识别设备的视觉识别特征, 据 此对所述被识别设备进行视觉识别;
所述被识别设备, 配置为向所述视觉识别设备提供所述视觉识别特征。
PCT/CN2013/083691 2013-06-07 2013-09-17 一种实现视觉识别的方法、装置和系统 WO2014194586A1 (zh)

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