CN205354047U - 一种标记读取终端 - Google Patents

一种标记读取终端 Download PDF

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CN205354047U
CN205354047U CN201520921642.5U CN201520921642U CN205354047U CN 205354047 U CN205354047 U CN 205354047U CN 201520921642 U CN201520921642 U CN 201520921642U CN 205354047 U CN205354047 U CN 205354047U
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E·托德施尼
B·L·乔瓦诺夫斯基
E·C·布雷默
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Hand Held Products Inc
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    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/14—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation using light without selection of wavelength, e.g. sensing reflected white light
    • G06K7/1404—Methods for optical code recognition
    • G06K7/1408—Methods for optical code recognition the method being specifically adapted for the type of code
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    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06K7/10544—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum
    • G06K7/10792—Special measures in relation to the object to be scanned
    • G06K7/10801—Multidistance reading
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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    • G06K7/10881—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum further details of bar or optical code scanning devices constructional details of hand-held scanners
    • G—PHYSICS
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    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/02—Systems using the reflection of electromagnetic waves other than radio waves
    • G01S17/06—Systems determining position data of a target
    • G01S17/08—Systems determining position data of a target for measuring distance only
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
    • G01S17/86—Combinations of lidar systems with systems other than lidar, radar or sonar, e.g. with direction finders
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    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S17/00—Systems using the reflection or reradiation of electromagnetic waves other than radio waves, e.g. lidar systems
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    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K2007/10524—Hand-held scanners
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K7/00—Methods or arrangements for sensing record carriers, e.g. for reading patterns
    • G06K7/10—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation
    • G06K7/10544—Methods or arrangements for sensing record carriers, e.g. for reading patterns by electromagnetic radiation, e.g. optical sensing; by corpuscular radiation by scanning of the records by radiation in the optical part of the electromagnetic spectrum
    • G06K7/10792—Special measures in relation to the object to be scanned
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Abstract

一种标记读取终端具有三维深度传感器、二维图像传感器、自动聚焦透镜组和处理器。该三维深度传感器捕获视场的深度图像并根据该深度图像创建深度图，该深度图具有一个或多个表面距离。该二维图像传感器接收入射光并从其捕获图像。该自动聚焦透镜组接近于该二维图像传感器放置，使得该入射光在到达二维图像传感器之前穿过该自动聚焦透镜。该处理器以通信方式耦合至该二维图像传感器、该三维深度传感器以及该自动聚焦透镜组。

Description

一种标记读取终端
相关申请的交叉引用
本申请要求2014年10月10日提交的美国临时专利申请号62/062175的利益，该申请通过引用以其整体被合并在此。
技术领域
本发明一般涉及一种标记扫描仪，并且更具体地，涉及一种具有基于三维深度传感器的自动聚焦系统的标记扫描仪。
背景技术
各种标记（诸如条形码）已经使用在数十年内被用于管理库存、存储有用的消费者信息、以及自动化数据输入以减少人工数据输入固有的时间和错误。一般来说，标记是以图形格式编码的信息的机器可读表示。传统的条形码是一系列平行的条和宽度变化的间距，诸如线性条形码或1D条形码。此外，随着技术的进步和在标记中所需的编码信息量的增长，矩阵码标记已经日益受到欢迎。示例包括2D条形码、QR码、Aztec码、数据矩阵、以及光学字符识别（OCR）等。
诸如智能电话和平板计算机之类的移动设备的日益普遍，以及它们持续提升的处理和摄像机技术已经使消费者将这些移动设备用作标记读取器。典型地，这些移动设备具有集成的数字摄像机，该数字摄像机用作基于图像传感器的条形码读取器。图像传感器捕获数字图像并使用软件算法定位和解码一个或多个标记。
使用移动设备扫描标记的最大的挑战之一在于获得该标记的聚焦图像。典型地，大多数移动设备利用跨宽范围的焦距扫掠直到确定适当焦距的自动聚焦例程。移动设备通常评估跨越宽范围焦距的相邻像素间的强度差。这种自动聚焦方法相当耗时，并且常受到过度运动和差的照明条件的妨碍。因此，当扫描可解码标记时，聚焦过程对整体扫描时间的绝大部分负有责任，从而导致显著的时间延迟。
发明内容
因此，在一个方面中，本发明包括一种标记读取终端，包括：三维深度传感器，配置为捕获视场的深度图像并根据该深度图像创建深度图，该深度图具有一个或多个表面距离；二维图像传感器，配置为接收入射光并从其捕获图像；自动聚焦透镜组，接近于二维图像传感器放置，使得该入射光在到达二维图像传感器前穿过该自动聚焦透镜；以及处理器，以通信方式耦合至二维图像传感器、三维深度传感器和自动聚焦透镜组。
在一个实施例中，每个表面距离对应于标记读取终端和具有大于预定阈值的面积的视场内存在的每个平面之间的距离。
在一个实施例中，处理器配置为预测针对每个表面距离的最佳焦距。
在一个实施例中，基于预测的最佳焦距，自动聚焦透镜组渐进调整至预测的最佳焦距的每一个。
在一个实施例中，自动聚焦透镜组渐进地调整至每个预测的最佳焦距从与标记读取终端最接近的最佳焦距开始。
在一个实施例中，当自动聚焦透镜组聚焦于预测的最佳焦距的每一个时，二维图像传感器捕获图像。
在一个实施例中，处理器分析每个捕获的图像并确定是否存在可解码标记。
在一个实施例中，当在捕获的图像中存在可解码标记时处理器信号通知自动聚焦透镜组以停止渐进调整至下一预测的最佳焦距。
在一个实施例中，处理器配置为预测针对每个预测的最佳焦距的最佳曝光水平。
在一个实施例中，二维图像传感器使用预测的最佳曝光水平在预测的最佳焦距处捕获图像。
在另一方面，本发明包括一种用于读取标记的方法，包括以下步骤：提供具有三维深度传感器、二维图像传感器和自动聚焦透镜组的标记读取终端，该自动聚焦透镜组接近于二维图像传感器放置，使得入射光线在到达二维图像传感器之前穿过自动聚焦透镜；利用三维深度传感器捕获视场的第一深度图像；确定从标记读取终端至具有大于预定阈值的面积的该深度图像中的主表面的距离以创建第一深度图像的深度图；计算从自动聚焦透镜组至每个主表面的最佳焦距；当自动聚焦透镜组聚焦在最佳焦距之一时利用二维图像传感器捕获第一图像；以及解码捕获的第一图像中的标记。
在一个实施例中，该方法包括如下步骤：顺序地将自动聚焦透镜组聚焦于每一个计算的最佳焦距。
在一个实施例中，该方法包括如下步骤：利用二维图像传感器捕获每个最佳焦距处的图像。
在一个实施例中，该方法包括如下步骤：分析每个捕获的图像中是否存在可解码标记。
在一个实施例中，该方法包括如下步骤：当可解码标记存在于捕获的图像中时停止自动聚焦透镜组的顺序聚焦。
在一个实施例中，该方法包括如下步骤：如果没有可解码标记存在于基于第一深度图像的任何捕获的图像中，则捕获视场的第二深度图像。
在一个实施例中，该方法包括如下步骤：比较具有可解码标记的主表面的面积和编码在可解码标记中的期望面积值。
在一个实施例中，该方法包括如下步骤：根据深度图中主表面的面积确定具有可解码标记的物品的近似尺寸。
在一个实施例中，该方法包括如下步骤：为每个预测的最佳焦距预测最佳曝光水平。
在一个实施例中，该二维图像传感器使用预测的最佳曝光水平捕获第一图像。
上述说明性的概述、和本发明的其它示例性目标和/或优点、以及其实现的方式在下述详细描述及其附图中进一步进行解释。
附图说明
现在将作为示例参考附图描述本发明，其中：
图1A是具有三维深度传感器的移动设备的透视图；
图1B是具有三维深度传感器的手持标记读取终端的透视图；
图2是标记读取终端和三维深度传感器的操作的示意图示；
图3是使用三维深度传感器检测可解码标记的过程的框图；
图4是使用三维深度传感器检测可解码标记的过程的框图；以及
图5是使用三维深度传感器确定对象的尺寸以及预测最佳曝光水平的过程的框图。
具体实施方式
在图1-5中示出的实施例中，标记读取终端1具有计算设备40、三维深度传感器10（“3D深度传感器”或“深度传感器”）、二维图像传感器20（“2D图像传感器”或“图像传感器”）、自动聚焦透镜组30以及照明源50。
在图1A和1B中示出的实施例中，标记读取终端1是移动设备，诸如手持扫描仪2、便携式数据终端、移动电话3、平板电脑、便携式计算机等，或者可为诸如沿着装配线固定到单个位置的静止终端。手持扫描仪2可包括具有手柄2a和触发器2b的手持部分，以及组件接收头2c。触发器2b可用于发起信号以激活本文描述的各种组件和过程。便携式数据终端，虽然未示出，但公知用于典型地描述用于通过无线传输输入或检索数据的电子设备，并还可用作标记读取器以从远程位置访问数据库。
在图2中所示的实施例中，计算设备40包括存储器41和处理器42，其中处理器42以通信方式耦合至存储器41。存储器41可存储可执行指令，举例来说，诸如计算机可读指令（如，软件），它可由处理器42执行。存储器41可为易失性或非易失性存储器。存储器41还可为可移除（例如，便携式）存储器，或不可移除（例如，内部）存储器。举例来说，存储器41可为随机存取存储器（RAM）（例如，动态随机存取存储器（DRAM）和/或相变随机存取存储器（PCRAM））、只读存储器（ROM）（例如，电可擦除可编程只读存储器（EEPROM）和/或压缩盘只读存储器（CD-ROM））、闪存、激光盘、数字通用盘（DVD）或其它光盘存储器、和/或磁性介质，诸如磁带盒、磁带或磁盘，以及本领域技术人员公知的其它类型的存储器。
在图2中示出的实施例中，存储器41置于计算设备40中。然而，在另一实施例中（未示出），存储器41可置于另一计算资源内，因此使得计算机可读指令能够通过因特网或另一有线或无线连接进行下载。
处理器42以通信方式耦合至3D深度传感器10、2D图像传感器20、自动聚焦透镜组30以及照明源50。
三维深度传感器10配置为捕获视场的深度图像并且处理器42根据捕获的深度图像创建深度图，该深度图具有一个或多个表面距离（下文进行更具体的解释）。在一个实施例中，深度传感器10是获取视场内深度信息的功能单元。在实施例中，深度传感器10通过使用结构光、飞行时间、立体视觉或本领域普通技术人员已知的任意其它传感器技术捕获深度图像。
本领域普通技术人员将理解的是，结构光3D扫描仪是用于使用投射的光图案、摄像机系统以及三角计算来测量物体的三维形状的3D扫描设备。飞行时间摄像机（ToF摄像机）是基于已知光速、针对图像每个点测量在摄像机和该目标之间的光信号的飞行时间来求解距离的范围成像摄像机系统。飞行时间摄像机是无扫描光探测和测距（“LIDAR”）系统的一个分类，其中利用每个激光或光脉冲捕获整个场景，与诸如在扫描LIDAR系统中利用激光束逐点的方式相反。立体视觉系统的具有已知的物理关系（即摄像机可看到的共同视场，以及物理空间内它们的焦点相距多远）的两个摄像机通过软件相关联。通过找到共同像素值的映射并计算驻留在像素空间内的这些公共区域相距多远，可创建粗略深度图。这与人脑使用来自眼睛的立体信息获得深度提示信息（诸如场景中任意给定对象距离观察者有多远）的方式非常类似。
如图2的实施例中所示，深度图包括一个或多个表面距离（例如，d1、d2……等），其中每个表面距离d1、d2对应于标记读取终端1和存在于视场内的一个平面11a、11b之间的距离。例如，在图2中示出了两个平面11a和11b。第一平面11a与标记读取终端1间隔第一距离d1，第一平面11a具有与标记读取终端1间隔第一边缘距离d3的第一边缘11a1以及与标记读取终端1间隔第二边缘距离d4的第二边缘11a2。第二平面11b与标记读取终端1间隔第二距离d2，第二平面11b具有与标记读取终端1间隔第三边缘距离d5的第三边缘11b1以及与标记读取终端1间隔第四边缘距离d6的第四边缘11b2。
在一个实施例中，处理器42通过如下方式来计算视场中每个平面（例如11a，11b）的面积：将该平面的表面距离与在所捕获的深度图像中具有近似相同表面距离的多个点（每个点具有XYZ坐标）关联。举例来说，在使用结构光3D距离传感器的实施例中，3D距离传感器10将具有红外（“IR”）发射器（未示出），其在视场内的物理对象和环境上投射结构IR图案。3D距离传感器10将具有距IR发射器遥远放置的对应IR接收器（未示出），它捕获结构IR光图案，并且处理器42将应用结构光算法基于发射器、物理对象和接收器之间的三角测量产生被捕获图像的精确、详细的深度图。
在一个实施例中，深度图被限制为到具有大于预定阈值的面积的平面（诸如11a，11b）的表面距离。该预定阈值可为具有如下表面面积的平面（诸如11a，11b）：该表面面积与可解码标记可被设置在的尺寸一致。深度图的复杂度可被降低，因此降低了对处理器42的处理需求，并减少了处理器42创建深度图所需的时间。
在另一实施例中，深度图可为受限平面，其在视场的一般或期望深度内或在要扫描的对象与标记读取终端1的距离内。因此，仅在视场的此期望深度或距离内的平面（例如，11a，11b）将被包括在深度图中，从而减少了深度图的复杂度。
在图2中示出的实施例中，2D图像传感器20配置为接收入射光并从其捕获图像。2D图像传感器20可为任意多像素图像传感器，诸如电荷耦合设备（CCD）、互补金属氧化物半导体（CMOS）、有源像素传感器（APS）等。本领域普通技术人员将理解，捕获二维数字图像的其它类型的图像传感器处于本公开的范围内。
在操作中，来自2D图像传感器20的图像信号可被读出、转换并存储到一个或多个存储器41中。处理器42配置为读出存储在存储器41中的图像数据，并可使得这种图像数据经历各种图像处理算法以创建该深度图，以及信号通知标记读取终端1的其它组件执行在下文更具体地描述的各种任务。
在图2中示出的实施例中，自动聚焦透镜组30光学耦合至2D图像传感器20，接近于2D图像传感器20放置，使得入射光在到达2D图像传感器20之前穿过自动聚焦透镜。自动聚焦透镜组30沿着光轴将入射光聚焦到2D图像传感器20上。自动聚焦透镜组30可包括一个或多个透镜元件，诸如流体元件、电浸润流体元件和/或不可变形的固态元件，诸如玻璃、聚碳酸酯、或本领域普通技术人员已知的其它材料。这些透镜元件中的每一个可以进行大小、间距、位置、以及一般结构的调整以将入射光的焦点调整到2D图像传感器20上。
在图1A-2中示出的实施例中，照明源50以通信方式连接至处理器42，并由处理器42控制。照明源50可包括一个或多个LED，或本领域普通技术人员已知的其它光生成源。处理器42可控制由照明源50发出的光的强度和持续时间，以便优化入射在2D或3D传感器10、20上的光曝光水平。
在实践中，处理器42读取存储在存储器41中的所捕获的图像数据并创建深度图。处理器42配置为基于平面（诸如11a，11b）到标记读取终端1的表面距离预测每个平面（诸如11a，11b）的最佳焦距。基于预测的最佳焦距，处理器41指令自动聚焦透镜组30把透镜元件渐进地调整至每个预测的最佳焦距。在一个实施例中，自动聚焦透镜组30从与标记读取终端1最近的最佳焦距开始渐进地调整至每个预测的最佳焦距。因此，在这一实施例中，自动聚焦透镜组30将调整焦距以聚焦在与标记读取终端1最近的平面上，对于图2来说，该平面将是平面11a。自动聚焦透镜组30然后将把焦距调整至下一预测的最佳焦距，并聚焦在下一最近的平面上，对于图2来说，该平面将是平面11b。自动聚焦透镜组30将继续把焦距调整至下一预测的最佳焦距并聚焦在下一最近的平面上，直到所有的透镜组30已经渐进地把焦距调整至所有预测的最佳焦距。
在一个实施例中，自动聚焦透镜组30从距标记读取终端1最远的最佳焦距开始渐进地调整至每一个预测的最佳焦距。因此，自动聚焦透镜组30将把焦距调整至距标记读取终端1最远的平面，并渐进把焦距调整至距标记读取终端1第二最远、第三最远、第四最远等的平面直到自动聚焦透镜组30已经聚焦于每一个预测的最佳焦距处。
在一个实施例中，当自动聚焦透镜组30聚焦于每个预测的最佳焦距处时处理器42指令2D图像传感器20捕获一幅图像。捕获的图像存储在存储器41中并读出至处理器42，处理器42分析每个捕获的图像并确定是否存在可解码标记。如果处理器42确定可解码标记存在于捕获的图像中，处理器42信号通知自动聚焦透镜组30以停止渐进调整至下一预测的最佳焦距，因此在自动聚焦透镜组30全面地将焦距调整至每一个预测的最佳焦距之前终止该自动聚焦过程。如果处理器42确定捕获的图像并不包含可解码标记，处理器42信号通知自动聚焦透镜组30以继续渐进地调整焦距至下一预测的最佳焦距。
通过把处理器42限制为分析在相对少量的最佳焦距处采集的捕获图像，处理器42可比传统的自动聚焦例程更迅速地检测可解码标记，因为处理器42由于自动聚焦透镜组30不智能地跨透镜组30的整个聚焦范围调整焦距而无需分析相邻像素间的强度差。此外，由于处理器42分析自动聚焦透镜组30处于每个预测的最佳焦距时的每个捕获的图像，如果在聚焦例程中及早发现可解码标记，则自动聚焦过程可被迅速终止。这导致功耗降低、聚焦时间减少、并减少了自动聚焦透镜组30自身的磨损。
在一个实施例中，当处理器42确定捕获的图像包含可解码标记时，处理器42可信号通知自动聚焦透镜组30以继续调整聚焦至深度图中的每个平面，直到所有的平面都已经具有捕获的图像。当深度图中最后的平面已经具有由2D传感器20捕获的对应图像时，处理器42可指令自动聚焦透镜组30终止各个平面间的聚焦调整。因此，在这一实施例中，处理器42可分析深度图内的每个平面是否存在一个或多个可解码标记，但将仅具有被限制到距深度传感器10的最近平面和最远平面之间的距离的聚焦范围。
标记读取终端1优于传统自动聚焦系统的优点之一在于，传统自动聚焦系统的自动聚焦透镜与自动聚焦透镜组30相比相对较慢地移动。传统自动聚焦透镜移动得比较慢是由于它跨其工作范围扫掠以允许摄像机系统确定是否它焦点对准。利用标记读取终端1，已经知道视场内每个平面的最佳焦距，因此自动聚焦透镜组30可更快地调整焦点至这些位置并沿路径同时进行解码。
在另一实施例中，处理器42可指令2D图像传感器20随着自动聚焦透镜组30把焦点从一个预测的最佳焦距调整至下一预测的最佳焦距而连续捕获图像。处理器42然后可应用容许有限水平的图像模糊的解码算法以搜索可解码标记。如果处理器42确定可解码标记存在于在自动聚焦透镜组30在预测的最佳焦距之间进行调整时捕获的图像中，则处理器42可信号通知自动聚焦透镜组30以停止渐进调整至下一预测的最佳焦距，因此在自动聚焦透镜组30全面地把焦距调整至每一个预测的最佳焦距之前终止自动聚焦过程。
在图5中所示的一个实施例中，在框113和114处，处理器42配置为基于在捕获的深度图像中检测到的曝光水平为每个预测的最佳焦距预测最佳曝光水平。例如，处理器42可控制由照明源50产生的光的强度和持续时间。
在一个实施例中，线性或对数曝光函数计算由深度传感器10确定的视场内任意平面距离处的传感器曝光持续时间。此函数进行操作以使得更远离深度传感器10的平面（诸如图2中的平面11b）将比距离深度传感器10较近的平面具有更短的曝光时间。因此，更远离深度传感器10的平面将具有用于解码的较低的可用分辨率并因此将更易受运动模糊的影响。处理器42可减少曝光并提高照明源50的照明强度和持续时间以减少这些更远距离的平面的运动模糊。类似地，距深度传感器10较近的平面将具有用于解码的更多可用分辨率并将受益于较少照明以减少镜面反射，并因此常常需要更长的曝光以补偿较低强度的环境照明。处理器42可提高曝光并降低照明源50的照明强度和持续时间以减少这些较近平面的运动模糊。
线性曝光函数的示例性实施例将是：以秒为单位的曝光时间=（6/以英寸为单位的距离）*（1/2000），其将在6英寸处适用于500微秒的曝光。本领域普通技术人员将理解，此示例性实施例可被应用至其它距离和曝光时间。
处理器42指令2D图像传感器20在预测的最佳焦距处使用针对该焦距的预测的最佳曝光水平捕获图像。因此，捕获的图像将使用最佳预测曝光水平获取以给出高分辨率的捕获图像。
图3-5公开了用于读取标记的方法的示例性实施例。在图3中所示的实施例中，在框100，提供了标记读取终端1。在框101，利用3D深度传感器10捕获视场的第一深度图像。在框102，确定从标记读取终端1至具有大于预定阈值的面积的深度图像中的主表面（例如，平面11a，11b）的距离以创建第一深度图像的深度图。在框103，计算从自动聚焦透镜组至每个主表面的最佳焦距。在框104，当自动聚焦透镜组30聚焦在最佳焦距之一处时利用2D图像传感器20捕获第一图像。在框105，通过处理器42分析捕获的第一图像以确定是否存在可解码标记。如果存在可解码标记，则解码该标记。
在图4中示出的实施例中，如果不存在可解码标记，自动聚焦透镜组顺序地聚焦在每一个计算的最佳焦距处（框106），并且利用2D图像传感器20在每个最佳焦距处捕获图像（框107）。在框108，分析每个额外的捕获图像是否存在可解码标记。在框109，当处理器42在捕获的图像中检测到可解码标记时由处理器42终止自动聚焦透镜组30的顺序聚焦。
如果在基于确定自第一深度图像的预测的最佳焦距的任何捕获的图像中都不存在可解码标记，则捕获视场的第二深度图像，并且上文描述的过程再次重复（框110）。
在图5中示出的实施例中，具有可解码标记的主表面的面积与编码在可解码标记中的期望面积值进行比较（框111）。如果主表面的真实面积等于期望面积值，则标记读取终端1可以以声音、触觉或视觉提示的形式提供肯定反馈。如果主表面的真实面积小于或大于期望面积值，标记读取终端1可以以与肯定反馈不同的声音、触觉或视觉提示的形式提供否定反馈。通过比较主表面的真实面积与期望面积值，可以当这些值不对应的时候警告操作者。这种警告可作为防盗过程帮助识别贴错标签的物品以及其它应用。
在图5中示出的实施例中，在框112，具有可解码标记的物品的近似尺寸可根据深度图中的主表面的面积进行确定。邮政承运人（诸如UPS、FEDEX、USPS等）可在远程拾取以及其它应用期间容易和快速地确定包裹的近似尺寸。
相比仅具有2D图像传感器或者传统测距仪和2D传感器的更多传统标记读取终端，示例性实施例中的标记读取终端1利用深度信息增强了特征和性能。由3D深度传感器提供的该深度信息允许透镜组更快和更能量高效地自动聚焦。深度图像通过在最可能包含可解码标记的图像的区域上聚焦评估来提高适时性，该区域是产品视场的普通深度内的那些区域，包含平坦表面的区域，或从剩余环境突出的区域。
3D深度传感器允许利用3D深度图像进行物品验证，以防止例如位于商店的操作员扫描物品的标签而没有真正注意到是否扫描的信息匹配正被购买的物品。可在商店内设置将物品的尺寸与条形码信息关联的数据库。包括在标记读取终端内的3D深度传感器（诸如条形码扫描仪）可帮助自动验证购买的物品或者如果该物品的一般尺寸并不匹配可解码标记指示的尺寸则信号通知操作员他们应当详细检查购买的物品。
3D图像传感器的使用允许确定包裹尺寸。通过将3D深度传感器集成到扫描引擎和PDT中可实现承运人（例如UPS、FEDEX、USPS等）在远程拾取期间快速和便携地确定包裹尺寸。
3D图像传感器的使用还附加地允许到可解码标记的距离被用作另一数据点用于确定曝光设置。3D深度图可在触发扣动之前运行以帮助确定初始曝光。
本领域普通技术人员将会理解，具有3D距离传感器的设备可被集成到标准2D图像传感器中，其中标记读取器在对可解码标记进行成像和捕获3D深度图像之间交替使用2D传感器。在另一实施例中，诸如在图2中示出的实施例中，标记读取器包括专用于条形码扫描的2D图像传感器以及专用于确定标记读取器和视场内对象之间距离的单独3D深度传感器。
在结账期间进行物品验证的情况下，3D距离传感器可以是与标记读取器分离的一件硬件，其中3D距离传感器被放置用于更大对象的最佳观察。可通过设备间的直接物理连接或通过涉及主机系统的间接方式发生3D距离传感器和标记读取器之间的同步。
为了补充本公开，本申请通过引用的方式完全合并下述普通转让的专利、专利申请公开以及专利申请：
美国专利号6,832,725；美国专利号7,128,266；
美国专利号7,159,783；美国专利号7,413,127；美国专利号7,726,575；美国专利号8,294,969；美国专利号8,317,105；美国专利号8,322,622；美国专利号8,366,005；美国专利号8,371,507；美国专利号8,376,233；美国专利号8,381,979；美国专利号8,390,909；美国专利号8,408,464；美国专利号8,408,468；美国专利号8,408,469；美国专利号8,424,768；美国专利号8,448,863；美国专利号8,457,013；美国专利号8,459,557；美国专利号8,469,272；美国专利号8,474,712；美国专利号8,479,992；美国专利号8,490,877；美国专利号8,517,271；美国专利号8,523,076；美国专利号8,528,818；美国专利号8,544,737；美国专利号8,548,242；美国专利号8,548,420；美国专利号8,550,335；美国专利号8,550,354；美国专利号8,550,357；美国专利号8,556,174；美国专利号8,556,176；美国专利号8,556,177；美国专利号8,559,767；美国专利号8,599,957；美国专利号8,561,895；美国专利号8,561,903；美国专利号8,561,905；美国专利号8,565,107；美国专利号8,571,307；美国专利号8,579,200；美国专利号8,583,924；美国专利号8,584,945；美国专利号8,587,595；美国专利号8,587,697；美国专利号8,588,869；美国专利号8,590,789；美国专利号8,596,539；美国专利号8,596,542；美国专利号8,596,543；美国专利号8,599,271；
美国专利号8,599,957；美国专利号8,600,158；
美国专利号8,600,167；美国专利号8,602,309；
美国专利号8,608,053；美国专利号8,608,071；
美国专利号8,611,309；美国专利号8,615,487；
美国专利号8,616,454；美国专利号8,621,123；
美国专利号8,622,303；美国专利号8,628,013；
美国专利号8,628,015；美国专利号8,628,016；
美国专利号8,629,926；美国专利号8,630,491；
美国专利号8,635,309；美国专利号8,636,200；
美国专利号8,636,212；美国专利号8,636,215；
美国专利号8,636,224；美国专利号8,638,806；
美国专利号8,640,958；美国专利号8,640,960；
美国专利号8,643,717；美国专利号8,646,692；
美国专利号8,646,694；美国专利号8,657,200；
美国专利号8,659,397；美国专利号8,668,149；
美国专利号8,678,285；美国专利号8,678,286；
美国专利号8,682,077；美国专利号8,687,282；
美国专利号8,692,927；美国专利号8,695,880；
美国专利号8,698,949；美国专利号8,717,494；
美国专利号8,717,494；美国专利号8,720,783；
美国专利号8,723,804；美国专利号8,723,904；
美国专利号8,727,223；美国专利号D702,237；
美国专利号8,740,082；美国专利号8,740,085；
美国专利号8,746,563；美国专利号8,750,445；
美国专利号8,752,766；美国专利号8,756,059；
美国专利号8,757,495；美国专利号8,760,563；
美国专利号8,763,909；美国专利号8,777,108；
美国专利号8,777,109；美国专利号8,779,898；
美国专利号8,781,520；美国专利号8,783,573；
美国专利号8,789,757；美国专利号8,789,758；
美国专利号8,789,759；美国专利号8,794,520；
美国专利号8,794,522；美国专利号8,794,525；
美国专利号8,794,526；美国专利号8,798,367；
美国专利号8,807,431；美国专利号8,807,432；
美国专利号8,820,630；美国专利号8,822,848；
美国专利号8,824,692；美国专利号8,824,696；
美国专利号8,842,849；美国专利号8,844,822；
美国专利号8,844,823；美国专利号8,849,019；
美国专利号8,851,383；美国专利号8,854,633；
美国专利号8,866,963；美国专利号8,868,421；
美国专利号8,868,519；美国专利号8,868,802；
美国专利号8,868,803；美国专利号8,870,074；
美国专利号8,879,639；美国专利号8,880,426；
美国专利号8,881,983；美国专利号8,881,987；
美国专利号8,903,172；美国专利号8,908,995；
美国专利号8,910,870；美国专利号8,910,875；
美国专利号8,914,290；美国专利号8,914,788；
美国专利号8,915,439；美国专利号8,915,444；
美国专利号8,916,789；美国专利号8,918,250；
美国专利号8,918,564；美国专利号8,925,818；
美国专利号8,939,374；美国专利号8,942,480；
美国专利号8,944,313；美国专利号8,944,327；
美国专利号8,944,332；美国专利号8,950,678；
美国专利号8,967,468；美国专利号8,971,346；
美国专利号8,976,030；美国专利号8,976,368；
美国专利号8,978,981；美国专利号8,978,983；
美国专利号8,978,984；美国专利号8,985,456；
美国专利号8,985,457；美国专利号8,985,459；
美国专利号8,985,461；美国专利号8,988,578；
美国专利号8,988,590；美国专利号8,991,704；
美国专利号8,996,194；美国专利号8,996,384；
美国专利号9,002,641；美国专利号9,007,368；
美国专利号9,010,641；美国专利号9,015,513；
美国专利号9,016,576；美国专利号9,022,288；
美国专利号9,030,964；美国专利号9,033,240；
美国专利号9,033,242；美国专利号9,036,054；
美国专利号9,037,344；美国专利号9,038,911；
美国专利号9,038,915；美国专利号9,047,098；
美国专利号9,047,359；美国专利号9,047,420；
美国专利号9,047,525；美国专利号9,047,531；
美国专利号9,053,055；美国专利号9,053,378；
美国专利号9,053,380；美国专利号9,058,526；
美国专利号9,064,165；美国专利号9,064,167；
美国专利号9,064,168；美国专利号9,064,254；
美国专利号9,066,032；美国专利号9,070,032；
美国设计专利号D716,285；
美国设计专利号D723,560；
美国设计专利号D730,357；
美国设计专利号D730,901；
美国设计专利号D730,902
美国设计专利号D733,112；
美国设计专利号D734,339；
国际公开号2013/163789；
国际公开号2013/173985；
国际公开号2014/019130；
国际公开号2014/110495；
美国专利申请公开号2008/0185432；
美国专利申请公开号2009/0134221；美国专利申请公开号2010/0177080；美国专利申请公开号2010/0177076；美国专利申请公开号2010/0177707；美国专利申请公开号2010/0177749；美国专利申请公开号2010/0265880；美国专利申请公开号2011/0202554；美国专利申请公开号2012/0111946；美国专利申请公开号2012/0168511；美国专利申请公开号2012/0168512；美国专利申请公开号2012/0193423；美国专利申请公开号2012/0203647；美国专利申请公开号2012/0223141；美国专利申请公开号2012/0228382；美国专利申请公开号2012/0248188；美国专利申请公开号2013/0043312；美国专利申请公开号2013/0082104；美国专利申请公开号2013/0175341；美国专利申请公开号2013/0175343；美国专利申请公开号2013/0257744；美国专利申请公开号2013/0257759；美国专利申请公开号2013/0270346；美国专利申请公开号2013/0287258；美国专利申请公开号2013/0292475；美国专利申请公开号2013/0292477；美国专利申请公开号2013/0293539；美国专利申请公开号2013/0293540；美国专利申请公开号2013/0306728；美国专利申请公开号2013/0306731；美国专利申请公开号2013/0307964；美国专利申请公开号2013/0308625；美国专利申请公开号2013/0313324；美国专利申请公开号2013/0313325；美国专利申请公开号2013/0342717；美国专利申请公开号2014/0001267；
美国专利申请公开号2014/0008439；
美国专利申请公开号2014/0025584；
美国专利申请公开号2014/0034734；
美国专利申请公开号2014/0036848；
美国专利申请公开号2014/0039693；
美国专利申请公开号2014/0042814；
美国专利申请公开号2014/0049120；
美国专利申请公开号2014/0049635；
美国专利申请公开号2014/0061306；
美国专利申请公开号2014/0063289；
美国专利申请公开号2014/0066136；
美国专利申请公开号2014/0067692；
美国专利申请公开号2014/0070005；
美国专利申请公开号2014/0071840；
美国专利申请公开号2014/0074746；
美国专利申请公开号2014/0076974；
美国专利申请公开号2014/0078341；
美国专利申请公开号2014/0078345；
美国专利申请公开号2014/0097249；
美国专利申请公开号2014/0098792；
美国专利申请公开号2014/0100813；
美国专利申请公开号2014/0103115；
美国专利申请公开号2014/0104413；
美国专利申请公开号2014/0104414；
美国专利申请公开号2014/0104416；
美国专利申请公开号2014/0104451；
美国专利申请公开号2014/0106594；
美国专利申请公开号2014/0106725；
美国专利申请公开号2014/0108010；
美国专利申请公开号2014/0108402；
美国专利申请公开号2014/0110485；
美国专利申请公开号2014/0114530；
美国专利申请公开号2014/0124577；
美国专利申请公开号2014/0124579；
美国专利申请公开号2014/0125842；
美国专利申请公开号2014/0125853；
美国专利申请公开号2014/0125999；
美国专利申请公开号2014/0129378；
美国专利申请公开号2014/0131438；
美国专利申请公开号2014/0131441；
美国专利申请公开号2014/0131443；
美国专利申请公开号2014/0131444；
美国专利申请公开号2014/0131445；
美国专利申请公开号2014/0131448；
美国专利申请公开号2014/0133379；
美国专利申请公开号2014/0136208；
美国专利申请公开号2014/0140585；
美国专利申请公开号2014/0151453；
美国专利申请公开号2014/0152882；
美国专利申请公开号2014/0158770；
美国专利申请公开号2014/0159869；
美国专利申请公开号2014/0166755；
美国专利申请公开号2014/0166759；
美国专利申请公开号2014/0168787；
美国专利申请公开号2014/0175165；
美国专利申请公开号2014/0175172；
美国专利申请公开号2014/0191644；
美国专利申请公开号2014/0191913；
美国专利申请公开号2014/0197238；
美国专利申请公开号2014/0197239；
美国专利申请公开号2014/0197304；
美国专利申请公开号2014/0214631；
美国专利申请公开号2014/0217166；
美国专利申请公开号2014/0217180；
美国专利申请公开号2014/0231500；
美国专利申请公开号2014/0232930；
美国专利申请公开号2014/0247315；
美国专利申请公开号2014/0263493；
美国专利申请公开号2014/0263645；
美国专利申请公开号2014/0267609；
美国专利申请公开号2014/0270196；
美国专利申请公开号2014/0270229；
美国专利申请公开号2014/0278387；
美国专利申请公开号2014/0278391；
美国专利申请公开号2014/0282210；
美国专利申请公开号2014/0284384；
美国专利申请公开号2014/0288933；
美国专利申请公开号2014/0297058；
美国专利申请公开号2014/0299665；
美国专利申请公开号2014/0312121；
美国专利申请公开号2014/0319220；
美国专利申请公开号2014/0319221；
美国专利申请公开号2014/0326787；
美国专利申请公开号2014/0332590；
美国专利申请公开号2014/0344943；
美国专利申请公开号2014/0346233；
美国专利申请公开号2014/0351317；
美国专利申请公开号2014/0353373；
美国专利申请公开号2014/0361073；
美国专利申请公开号2014/0361082；
美国专利申请公开号2014/0362184；
美国专利申请公开号2014/0363015；
美国专利申请公开号2014/0369511；
美国专利申请公开号2014/0374483；
美国专利申请公开号2014/0374485；
美国专利申请公开号2015/0001301；
美国专利申请公开号2015/0001304；
美国专利申请公开号2015/0003673；
美国专利申请公开号2015/0009338；
美国专利申请公开号2015/0009610；
美国专利申请公开号2015/0014416；
美国专利申请公开号2015/0021397；
美国专利申请公开号2015/0028102；
美国专利申请公开号2015/0028103；
美国专利申请公开号2015/0028104；
美国专利申请公开号2015/0029002；
美国专利申请公开号2015/0032709；
美国专利申请公开号2015/0039309；
美国专利申请公开号2015/0039878；
美国专利申请公开号2015/0040378；
美国专利申请公开号2015/0048168；
美国专利申请公开号2015/0049347；
美国专利申请公开号2015/0051992；
美国专利申请公开号2015/0053766；
美国专利申请公开号2015/0053768；
美国专利申请公开号2015/0053769；
美国专利申请公开号2015/0060544；
美国专利申请公开号2015/0062366；
美国专利申请公开号2015/0063215；
美国专利申请公开号2015/0063676；
美国专利申请公开号2015/0069130；
美国专利申请公开号2015/0071819；
美国专利申请公开号2015/0083800；
美国专利申请公开号2015/0086114；
美国专利申请公开号2015/0088522；
美国专利申请公开号2015/0096872；
美国专利申请公开号2015/0099557；
美国专利申请公开号2015/0100196；
美国专利申请公开号2015/0102109；
美国专利申请公开号2015/0115035；
美国专利申请公开号2015/0127791；
美国专利申请公开号2015/0128116；
美国专利申请公开号2015/0129659；
美国专利申请公开号2015/0133047；
美国专利申请公开号2015/0134470；
美国专利申请公开号2015/0136851；
美国专利申请公开号2015/0136854；
美国专利申请公开号2015/0142492；
美国专利申请公开号2015/0144692；
美国专利申请公开号2015/0144698；
美国专利申请公开号2015/0144701；
美国专利申请公开号2015/0149946；
美国专利申请公开号2015/0161429；
美国专利申请公开号2015/0169925；
美国专利申请公开号2015/0169929；
美国专利申请公开号2015/0178523；
美国专利申请公开号2015/0178534；
美国专利申请公开号2015/0178535；
美国专利申请公开号2015/0178536；
美国专利申请公开号2015/0178537；
美国专利申请公开号2015/0181093；
美国专利申请公开号2015/0181109；
美国专利申请号13/367,978，针对aLaserScanningModuleEmployinganElastomericU-HingeBasedLaserScanningAssembly，提交于2012年2月7日(Feng等)；
美国专利申请号29/458,405，针对anElectronicDevice，提交于2013年6月19日(Fitch等)；
美国专利申请号29/459,620，针对anElectronicDeviceEnclosure，提交于2013年7月2日(London等)；
美国专利申请号29/468,118，针对anElectronicDeviceCase，提交于2013年9月26日(Oberpriller等)；
美国专利申请号14/150,393，针对Indicia-readerHavingUnitaryConstructionScanner，提交于2014年1月8日(Colavito等)；
美国专利申请号14/200,405，针对IndiciaReaderforSize-LimitedApplications，2014年提交于3月7日(Feng等)；
美国专利申请号14/231,898，针对Hand-MountedIndicia-ReadingDevicewithFingerMotionTriggering，提交于2014年4月1日(VanHorn等)；
美国专利申请号29/486,759，针对anImagingTerminal，提交于2014年4月2日(Oberpriller等)；
美国专利申请号14/257,364，针对DockingSystemandMethodUsingNearFieldCommunication，提交于2014年4月21日(Showering)；
美国专利申请号14/264,173，针对AutofocusLensSystemforIndiciaReaders，提交于2014年4月29日(Ackley等)；
美国专利申请号14/277,337，针对MULTIPURPOSEOPTICALREADER，提交于2014年5月14日(Jovanovski等)；
美国专利申请号14/283,282，针对TERMINALHAVINGILLUMINATIONANDFOCUSCONTROL，提交于2014年5月21日(Liu等)；
美国专利申请号14/327,827，针对aMOBILE-PHONEADAPTERFORELECTRONICTRANSACTIONS，提交于2014年7月10日(Hejl)；
美国专利申请号14/334,934，针对aSYSTEMANDMETHODFORINDICIAVERIFICATION，提交于2014年7月18日(Hejl)；
美国专利申请号14/339,708，针对LASERSCANNINGCODESYMBOLREADINGSYSTEM，提交于2014年7月24日(Xian等)；
美国专利申请号14/340,627，针对anAXIALLYREINFORCEDFLEXIBLESCANELEMENT，提交于2014年7月25日(Rueblinger等)；
美国专利申请号14/446,391，针对MULTIFUNCTIONPOINTOFSALEAPPARATUSWITHOPTICALSIGNATURECAPTURE，提交于2014年7月30日(Good等)；
美国专利申请号14/452,697，针对INTERACTIVEINDICIAREADER，提交于2014年8月6日(Todeschini)；
美国专利申请号14/453,019，针对DIMENSIONINGSYSTEMWITHGUIDEDALIGNMENT，提交于2014年8月6日(Li等)；
美国专利申请号14/462,801，针对MOBILECOMPUTINGDEVICEWITHDATACOGNITIONSOFTWARE，提交于2014年8月19日(Todeschini等)；
美国专利申请号14/483,056，针对VARIABLEDEPTHOFFIELDBARCODESCANNER，提交于2014年9月10日(McCloskey等)；
美国专利申请号14/513,808，针对IDENTIFYINGINVENTORYITEMSINASTORAGEFACILITY，提交于2014年10月14日(Singel等)；
美国专利申请号14/519,195，针对HANDHELDDIMENSIONINGSYSTEMWITHFEEDBACK，提交于2014年10月21日(Laffargue等)；
美国专利申请号14/519,179，针对DIMENSIONINGSYSTEMWITHMULTIPATHINTERFERENCEMITIGATION，提交于2014年10月21日(Thuries等)；
美国专利申请号14/519,211，针对SYSTEMANDMETHODFORDIMENSIONING，提交于2014年10月21日(Ackley等)；
美国专利申请号14/519,233，针对HANDHELDDIMENSIONERWITHDATA-QUALITYINDICATION，提交于2014年10月21日(Laffargue等)；
美国专利申请号14/519,249，针对HANDHELDDIMENSIONINGSYSTEMWITHMEASUREMENT-CONFORMANCEFEEDBACK，提交于2014年10月21日(Ackley等)；
美国专利申请号14/527,191，针对METHODANDSYSTEMFORRECOGNIZINGSPEECHUSINGWILDCARDSINANEXPECTEDRESPONSE，提交于2014年10月29日(Braho等)；
美国专利申请号14/529,563，针对ADAPTABLEINTERFACEFORAMOBILECOMPUTINGDEVICE，提交于2014年10月31日(Schoon等)；
美国专利申请号14/529,857，针对BARCODEREADERWITHSECURITYFEATURES，提交于2014年10月31日(Todeschini等)；
美国专利申请号14/398,542，针对PORTABLEELECTRONICDEVICESHAVINGASEPARATELOCATIONTRIGGERUNITFORUSEINCONTROLLINGANAPPLICATIONUNIT，提交于2014年11月3日(Bian等)；
美国专利申请号14/531,154，针对DIRECTINGANINSPECTORTHROUGHANINSPECTION，提交于2014年11月3日(Miller等)；
美国专利申请号14/533,319，针对BARCODESCANNINGSYSTEMUSINGWEARABLEDEVICEWITHEMBEDDEDCAMERA，提交于2014年11月5日(Todeschini)；
美国专利申请号14/535,764，针对CONCATENATEDEXPECTEDRESPONSESFORSPEECHRECOGNITION，提交于2014年11月7日(Braho等)；
美国专利申请号14/568,305，针对AUTO-CONTRASTVIEWFINDERFORANINDICIAREADER，提交于2014年12月12日(Todeschini)；
美国专利申请号14/573,022，针对DYNAMICDIAGNOSTICINDICATORGENERATION，提交于2014年12月17日(Goldsmith)；
美国专利申请号14/578,627，针对SAFETYSYSTEMANDMETHOD，提交于2014年12月22日(Ackley等)；
美国专利申请号14/580,262，针对MEDIAGATEFORTHERMALTRANSFERPRINTERS，提交于2014年12月23日(Bowles)；
美国专利申请号14/590,024，针对SHELVINGANDPACKAGELOCATINGSYSTEMSFORDELIVERYVEHICLES，提交于2015年1月6日(Payne)；
美国专利申请号14/596,757，针对SYSTEMANDMETHODFORDETECTINGBARCODEPRINTINGERRORS，提交于2015年1月14日(Ackley)；
美国专利申请号14/416,147，针对OPTICALREADINGAPPARATUSHAVINGVARIABLESETTINGS，提交于2015年1月21日(Chen等)；
美国专利申请号14/614,706，针对DEVICEFORSUPPORTINGANELECTRONICTOOLONAUSER'SHAND，提交于2015年2月5日(Oberpriller等)；
美国专利申请号14/614,796，针对CARGOAPPORTIONMENTTECHNIQUES，提交于2015年2月5日(Morton等)；
美国专利申请号29/516,892，针对TABLECOMPUTER，提交于2015年2月6日(Bidwell等)；
美国专利申请号14/619,093，针对METHODSFORTRAININGASPEECHRECOGNITIONSYSTEM，提交于2015年2月11日(Pecorari)；
美国专利申请号14/628,708，针对DEVICE,SYSTEM,ANDMETHODFORDETERMININGTHESTATUSOFCHECKOUTLANES，提交于2015年2月23日(Todeschini)；
美国专利申请号14/630,841，针对TERMINALINCLUDINGIMAGINGASSEMBLY，提交于2015年2月25日(Gomez等)；
美国专利申请号14/635,346，针对SYSTEMANDMETHODFORRELIABLESTORE-AND-FORWARDDATAHANDLINGBYENCODEDINFORMATIONREADINGTERMINALS，提交于2015年3月2日(Sevier)；
美国专利申请号29/519,017，针对SCANNER，提交于2015年3月2日(Zhou等)；
美国专利申请号14/405,278，针对DESIGNPATTERNFORSECURESTORE，提交于2015年3月9日(Zhu等)；
美国专利申请号14/660,970，针对DECODABLEINDICIAREADINGTERMINALWITHCOMBINEDILLUMINATION，提交于2015年3月18日(Kearney等)；
美国专利申请号14/661,013，针对REPROGRAMMINGSYSTEMANDMETHODFORDEVICESINCLUDINGPROGRAMMINGSYMBOL，提交于2015年3月18日(Soule等)；
美国专利申请号14/662,922，针对MULTIFUNCTIONPOINTOFSALESYSTEM，提交于2015年3月19日(VanHorn等)；
美国专利申请号14/663,638，针对VEHICLEMOUNTCOMPUTERWITHCONFIGURABLEIGNITIONSWITCHBEHAVIOR，提交于2015年3月20日(Davis等)；
美国专利申请号14/664,063，针对METHODANDAPPLICATIONFORSCANNINGABARCODEWITHASMARTDEVICEWHILECONTINUOUSLYRUNNINGANDDISPLAYINGANAPPLICATIONONTHESMARTDEVICEDISPLAY，提交于2015年3月20日(Todeschini)；
美国专利申请号14/669,280，针对TRANSFORMINGCOMPONENTSOFAWEBPAGETOVOICEPROMPTS，提交于2015年3月26日(Funyak等)；
美国专利申请号14/674,329，针对AIMERFORBARCODESCANNING，提交于2015年3月31日(Bidwell)；
美国专利申请号14/676,109，针对INDICIAREADER，提交于2015年4月1日(Huck)；
美国专利申请号14/676,327，针对DEVICEMANAGEMENTPROXYFORSECUREDEVICES，提交于2015年4月1日(Yeakley等)；
美国专利申请号14/676,898，针对NAVIGATIONSYSTEMCONFIGUREDTOINTEGRATEMOTIONSENSINGDEVICEINPUTS，提交于2015年4月2日(Showering)；
美国专利申请号14/679,275，针对DIMENSIONINGSYSTEMCALIBRATIONSYSTEMSANDMETHODS，提交于2015年4月6日(Laffargue等)；
美国专利申请号29/523,098，针对HANDLEFORATABLETCOMPUTER，提交于2015年4月7日(Bidwell等)；
美国专利申请号14/682,615，针对SYSTEMANDMETHODFORPOWERMANAGEMENTOFMOBILEDEVICES，提交于2015年4月9日(Murawski等)；
美国专利申请号14/686,822，针对MULTIPLEPLATFORMSUPPORTSYSTEMANDMETHOD，提交于2015年4月15日(Qu等)；
美国专利申请号14/687,289，针对SYSTEMFORCOMMUNICATIONVIAAPERIPHERALHUB，提交于2015年4月15日(Kohtz等)；
美国专利申请号29/524,186，针对SCANNER，提交于2015年4月17日(Zhou等)；
美国专利申请号14/695,364，针对MEDICATIONMANAGEMENTSYSTEM，提交于2015年4月24日(Sewell等)；
美国专利申请号14/695,923，针对SECUREUNATTENDEDNETWORKAUTHENTICATION，提交于2015年4月24日(Kubler等)；
美国专利申请号29/525,068，针对TABLETCOMPUTERWITHREMOVABLESCANNINGDEVICE，提交于2015年4月27日(Schulte等)；
美国专利申请号14/699,436，针对SYMBOLREADINGSYSTEMHAVINGPREDICTIVEDIAGNOSTICS，提交于2015年4月29日(Nahill等)；
美国专利申请号14/702,110，针对SYSTEMANDMETHODFORREGULATINGBARCODEDATAINJECTIONINTOARUNNINGAPPLICATIONONASMARTDEVICE，提交于2015年5月1日(Todeschini等)；
美国专利申请号14/702,979，针对TRACKINGBATTERYCONDITIONS，提交于2015年5月4日(Young等)；
美国专利申请号14/704,050，针对INTERMEDIATELINEARPOSITIONING，提交于2015年5月5日(Charpentier等)；
美国专利申请号14/705,012，针对HANDS-FREEHUMANMACHINEINTERFACERESPONSIVETOADRIVEROFAVEHICLE，提交于2015年5月6日(Fitch等)；
美国专利申请号14/705,407，针对METHODANDSYSTEMTOPROTECTSOFTWARE-BASEDNETWORK-CONNECTEDDEVICESFROMADVANCEDPERSISTENTTHREAT，提交于2015年5月6日(Hussey等)；
美国专利申请号14/707,037，针对SYSTEMANDMETHODFORDISPLAYOFINFORMATIONUSINGAVEHICLE-MOUNTCOMPUTER，提交于2015年5月8日(Chamberlin)；
美国专利申请号14/707,123，针对APPLICATIONINDEPENDENTDEX/UCSINTERFACE，提交于2015年5月8日(Pape)；
美国专利申请号14/707,492，针对METHODANDAPPARATUSFORREADINGOPTICALINDICIAUSINGAPLURALITYOFDATASOURCES，提交于2015年5月8日(Smith等)；
美国专利申请号14/710,666，针对PRE-PAIDUSAGESYSTEMFORENCODEDINFORMATIONREADINGTERMINALS，提交于2015年5月13日(Smith)；
美国专利申请号29/526,918，针对CHARGINGBASE，提交于2015年5月14日(Fitch等)；
美国专利申请号14/715,672，针对AUGUMENTEDREALITYENABLEDHAZARDDISPLAY，提交于2015年5月19日(Venkatesha等)；
美国专利申请号14/715,916，针对EVALUATINGIMAGEVALUES，提交于2015年5月19日(Ackley)；
美国专利申请号14/722,608，针对INTERACTIVEUSERINTERFACEFORCAPTURINGADOCUMENTINANIMAGESIGNAL，提交于2015年5月27日(Showering等)；
美国专利申请号29/528,165，针对IN-COUNTERBARCODESCANNER，提交于2015年5月27日(Oberpriller等)；
美国专利申请号14/724,134，针对ELECTRONICDEVICEWITHWIRELESSPATHSELECTIONCAPABILITY，提交于2015年5月28日(Wang等)；
美国专利申请号14/724,849，针对METHODOFPROGRAMMINGTHEDEFAULTCABLEINTERFACESOFTWAREINANINDICIAREADINGDEVICE，提交于2015年5月29日(Barten)；
美国专利申请号14/724,908，针对IMAGINGAPPARATUSHAVINGIMAGINGASSEMBLY，提交于2015年5月29日(Barber等)；
美国专利申请号14/725,352，针对APPARATUSANDMETHODSFORMONITORINGONEORMOREPORTABLEDATATERMINALS(Caballero等)；
美国专利申请号29/528,590，针对ELECTRONICDEVICE，提交于2015年5月29日(Fitch等)；
美国专利申请号29/528,890，针对MOBILECOMPUTERHOUSING，提交于2015年6月2日(Fitch等)；
美国专利申请号14/728,397，针对DEVICEMANAGEMENTUSINGVIRTUALINTERFACESCROSS-REFERENCETORELATEDAPPLICATIONS，提交于2015年6月2日(Caballero)；
美国专利申请号14/732,870，针对DATACOLLECTIONMODULEANDSYSTEM，提交于2015年6月8日(Powilleit)；
美国专利申请号29/529,441，针对INDICIAREADINGDEVICE，提交于2015年6月8日(Zhou等)；
美国专利申请号14/735,717，针对INDICIA-READINGSYSTEMSHAVINGANINTERFACEWITHAUSER'SNERVOUSSYSTEM，提交于2015年6月10日(Todeschini)；
美国专利申请号14/738,038，针对METHODOFANDSYSTEMFORDETECTINGOBJECTWEIGHINGINTERFERENCES，提交于2015年6月12日(Amundsen等)；
美国专利申请号14/740,320，针对TACTILESWITCHFORAMOBILEELECTRONICDEVICE，提交于2015年6月16日(Bandringa)；
美国专利申请号14/740,373，针对CALIBRATINGAVOLUMEDIMENSIONER，提交于2015年6月16日(Ackley等)；
美国专利申请号14/742,818，针对INDICIAREADINGSYSTEMEMPLOYINGDIGITALGAINCONTROL，提交于2015年6月18日(Xian等)；
美国专利申请号14/743,257，针对WIRELESSMESHPOINTPORTABLEDATATERMINAL，提交于2015年6月18日(Wang等)；
美国专利申请号29/530,600，针对CYCLONE，提交于2015年6月18日(Vargo等)；
美国专利申请号14/744,633，针对IMAGINGAPPARATUSCOMPRISINGIMAGESENSORARRAYHAVINGSHAREDGLOBALSHUTTERCIRCUITRY，提交于2015年6月19日(Wang)；
美国专利申请号14/744,836，针对CLOUD-BASEDSYSTEMFORREADINGOFDECODABLEINDICIA，提交于2015年6月19日(Todeschini等)；
美国专利申请号14/745,006，针对SELECTIVEOUTPUTOFDECODEDMESSAGEDATA，提交于2015年6月19日(Todeschini等)；
美国专利申请号14/747,197，针对OPTICALPATTERNPROJECTOR，提交于2015年6月23日(Thuries等)；
美国专利申请号14/747,490，针对DUAL-PROJECTORTHREE-DIMENSIONALSCANNER，提交于2015年6月23日(Jovanovski等)；以及
美国专利申请号14/748,446，针对CORDLESSINDICIAREADERWITHAMULTIFUNCTIONCOILFORWIRELESSCHARGINGANDEASDEACTIVATION，提交于2015年6月24日(Xie等)。
在说明书和/或附图中，已经公开了本发明的典型实施例。本发明不限于这样的示例性实施例。术语“和/或”的使用包括一个或多个相关列出的项目的任何和所有组合。附图是示意表示并因此并不一定按比例绘制。除非另外指出，否则特定术语在一般和描述性的意义下使用并且不用于限制的目的。

Claims (10)

1.一种标记读取终端，包括：
三维深度传感器，配置为捕获视场的深度图像并根据所述深度图像创建深度图，所述深度图具有一个或多个表面距离；
二维图像传感器，配置为接收入射光并从其捕获图像；
自动聚焦透镜组，接近于所述二维图像传感器放置，使得所述入射光在到达二维图像传感器之前穿过自动聚焦透镜；以及
处理器，以通信方式耦合至所述二维图像传感器、所述三维深度传感器以及所述自动聚焦透镜组。
2.权利要求1的所述标记读取终端，其中每个表面距离对应于标记读取终端和具有大于预定阈值的面积的视场内存在的每个平面之间的距离。
3.权利要求2的所述标记读取终端，其中所述处理器配置为预测针对每个表面距离的最佳焦距。
4.权利要求3的所述标记读取终端，其中，基于预测的最佳焦距，自动聚焦透镜组渐进地调整至每个预测的最佳焦距。
5.权利要求4的所述标记读取终端，其中自动聚焦透镜组渐进地调整至每个预测的最佳焦距从与标记读取终端最接近的最佳焦距开始。
6.权利要求4的所述标记读取终端，其中当自动聚焦透镜组聚焦于每个预测的最佳焦距时，二维图像传感器捕获图像。
7.权利要求6的所述标记读取终端，其中，所述处理器分析每个捕获的图像并确定是否存在可解码标记。
8.权利要求7的所述标记读取终端，其中，当可解码标记存在于捕获的图像中时，所述处理器信号通知自动聚焦透镜组以停止渐进地调整至下一预测的最佳焦距。
9.权利要求6的所述标记读取终端，其中所述处理器配置为预测针对每个预测的最佳焦距的最佳曝光水平。
10.权利要求9的所述标记读取终端，其中所述二维图像传感器使用预测的最佳曝光水平在预测的最佳焦距处捕获所述图像。
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