CN106169185A - 评价图像值 - Google Patents
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- CN106169185A CN106169185A CN201610332992.7A CN201610332992A CN106169185A CN 106169185 A CN106169185 A CN 106169185A CN 201610332992 A CN201610332992 A CN 201610332992A CN 106169185 A CN106169185 A CN 106169185A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
- G06T7/0006—Industrial image inspection using a design-rule based approach
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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
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
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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
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
- G06T7/55—Depth or shape recovery from multiple images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/62—Analysis of geometric attributes of area, perimeter, diameter or volume
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
- G06V30/10—Character recognition
- G06V30/22—Character recognition characterised by the type of writing
- G06V30/224—Character recognition characterised by the type of writing of printed characters having additional code marks or containing code marks
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07B—TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS
- G07B17/00—Franking apparatus
- G07B17/00459—Details relating to mailpieces in a franking system
- G07B17/00661—Sensing or measuring mailpieces
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10004—Still image; Photographic image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30204—Marker
Abstract
本发明涉及评价图像值。对物品的图像进行评价。在第一时间捕获具有物品的表面中的两个或更多的视图的物品的第一图像。计算并存储表面中的一个或多个的至少一个尺寸的测量结果。在继第一时间之后的第二时间捕获具有两个或更多表面中的至少一个的视图的物品的第二图像。尺寸的测量结果然后被计算并与所存储的第一测量结果进行比较。基于该比较来评价所计算的测量结果。
Description
技术领域
本发明大体上涉及成像。更特别地,本发明的示例实施例涉及评价图像数据。
背景技术
一般而言,物流(logistical)过程关于存储库存和运输货物而提高效率并降低商业成本。例如,存储空间是有限的,并且诸如拖车之类的运输介质具有规定的容量。物流处理在可用的空间之上高效地分配货物和库存,这可以促进存储并加快运输。
为了分配货物或库存,对构成的包、盒、箱以及其他物品(“物品”)的每一个的尺寸进行测量。所测量的尺寸关于可用的存储或运输空间而被处理。基于该处理,计算存储/传输空间内的位置,其优化每一个库存/货物物品相对于每一个其他物品的放置。
货物/库存物品的尺寸的测量可以由可以光学地可操作的定尺寸装置(“定尺寸器(dimensioner)”)自动操作。基于光学的定尺寸器通常可操作用于使用照相和/或摄像技术来捕获图像数据。关于货物/库存物品的表面而捕获的图像数据被用于计算测量结果。
定尺寸器捕获货物/库存物品的两个或更多可测量程度上足够(“良好”)的表面之上的图像数据,以产生具有足够用于商业应用的精度水平的测量结果。三个良好表面的使用可以改善用于商业的测量结果精度。然而,在一些情况下,定尺寸器有时可能捕获基本上不准确(“错误”)的图像数据。
基于错误的捕获图像数据的计算产生物品尺寸的不准确测量结果,这会导致有缺点的货物/库存分配。因此,过多的错误图像值产生水平例如在(美国)国家度量衡委员会的国家型式评价计划(NTEP)之下在针对商业用途所认证的定尺寸器的情况下是不可接受的。
相反,NTEP认证的定尺寸器依赖于一贯可靠的测量结果精度,并且因此,在测量结果基于其的图像值中。定尺寸器可以部署在工业设置中,例如,在其中它们在物品在高速输送机上移动时从货物/库存物品捕获图像数据。然而,这样的使用有时可能降级基于图像的测量结果的精度。
例如,由定尺寸器从超出光学范围限制的物品所捕获的图像可能缺少对于准确的测量结果足够的结构化光信息。即使在足够的结构化光信息的情况下,精度也可以由物品相对于定尺寸器的取向所影响。例如,一直(straight-on)取向到物品的一个面的定尺寸器可能不准确地测量其深度。
因此,存在针对关于数据的适合性评价从由定尺寸器检查的物品所捕获的图像数据以用于以此计算准确的尺寸测量结果的需要。还存在针对在由定尺寸器所捕获的图像数据中识别错误值并拒绝在计算尺寸测量结果中使用错误值的需要。此外,存在针对关于错误的图像数据推荐和/或实现校正以便产生准确的尺寸测量结果的需要。
发明内容
因此,在一个方面中,本发明包括关于数据的适合性评价从由定尺寸器检查的物品所捕获的图像数据以用于以此计算准确的尺寸测量结果。在示例实施例中,定尺寸器因此可操作用于在定尺寸器以此所捕获的图像数据中识别错误值并拒绝错误值用于尺寸测量结果计算。此外,定尺寸器可操作用于校正所捕获的图像数据并基于校正后的值来计算准确的尺寸测量结果。
对物品的图像进行评价。在第一时间捕获具有物品的表面中的两个或更多(例如,三个)的视图(view)的物品的第一图像。计算并存储表面中的一个或多个的至少一个尺寸的测量结果。在继第一时间之后的第二时间捕获具有两个或更多表面中的至少一个的视图的物品的第二图像。尺寸的测量结果然后被计算并与所存储的第一测量结果进行比较,并且基于该比较而评价。
本发明的示例实施例涉及一种用于评价物品的图像的方法。在第一时间捕获具有物品的表面中的两个或更多的视图的物品的第一图像。两个或更多表面中的一个或多个的至少一个尺寸的测量结果基于第一捕获图像来计算并存储。在继第一时间之后的第二时间捕获具有两个或更多表面中的至少一个的视图的物品的第二图像。计算两个或更多表面中的至少一个的至少一个尺寸的测量结果。将两个或更多表面中的至少一个的至少一个尺寸的所计算测量结果与所存储的第一测量结果进行比较。基于该比较来评价两个或更多表面中的至少一个的至少一个尺寸的所计算测量结果。
评价步骤包括选择性地接受或拒绝两个或更多表面中的至少一个的至少一个尺寸的所计算测量结果。所捕获的第一图像和/或所捕获的第二图像均包括基于与物品的特性相关的数据和/或与由所成像的物品构成的线框模型相关的数据的信息。信息涉及物品的一个或多个表面的一个或多个特征。一个或多个表面特征涉及对应颜色或其他色彩或者类似特性。可替代地或另外地,一个或多个表面特征包括标志、条形码图案(“条形码”)、或基于文本的、字母数字的、表意的、或象形的符号。符号可以包括手写的或预印书写的(preprinted
writing)。
在示例实施例中,比较步骤包括计算第二时间和第一时间之间的间隔的持续时间。评价步骤可以包括建立第一图像中的物品的表示与第二图像中的物品的表示之间的一致性(identity)。
图像的评价还可以包括描画(delineate)关于第一捕获图像中的一个或多个表面特征的外围的边界。所描画的边界被映射到坐标系中的对应位置。存储对应于所映射边界的数据。
然后在所捕获的第二图像中识别表面特征。关于所识别的表面特性调查对应于边界的数据。将所调查的边界数据与所存储的边界数据进行比较。评价步骤然后至少部分地基于所调查的边界数据与所存储的边界数据的比较。
图像的评价还可以包括在发生在第一时间和第二时间之间的对应(例如,第三)时间捕获物品的至少第三图像。至少第三图像包括两个或更多表面中的至少一个的视图。两个或更多表面中的至少一个的至少一个尺寸的测量结果基于所捕获的至少第三图像来计算。将基于所捕获的至少第三图像而计算的测量结果与所存储的第一测量结果进行比较。基于所捕获的至少第三图像而计算的测量结果可以基于与所存储的第一测量结果的比较而认可并存储。
平均值基于所存储的第一测量结果和所存储的认可测量结果(根据所捕获的至少第三图像)来计算。在示例实施例中,经评价的测量结果(根据第二捕获图像)可以基于所计算的平均值来校正。
可以实现示例实施例,其中第一图像的捕获步骤包括:从与物品的第一位置相关联的视角(perspective)记录物品的两个或更多表面的视图。第二图像的捕获步骤包括从与物品的第二位置相关联的视角记录两个或更多表面中的至少一个的视图。第二位置相对于第一位置而位移(例如,横向、纵向、轴向等)。
图像的评价可以包括基于评价步骤来认证用于与存储或运输物品中的一个或多个相关的商业交易的费用。可替代地或另外地,图像的评价可以包括基于评价步骤来认证用于商业用途的定尺寸器。
在另一方面,本发明包括包含指令的非临时性计算机可读存储介质,所述指令在计算机处理器上运行时可操作用于引起和/或控制用于评价图像的过程(例如,如上文概述的)。
在又另一方面,本发明包括计算机系统,所述计算机系统包括总线组件以及耦合到总线的处理器组件。计算机系统还包括耦合到总线组件的非临时性存储介质组件。存储组件包括指令,所述指令在处理器组件上运行时可操作用于引起和/或控制用于评价图像的过程(例如,如上文概述的)。
前述的说明性发明内容以及本发明的实施例的其他示例特征、功能和/或方面以及实现其所采用的方式进一步在示例实施例的以下具体实施方式和附图中的每一个图(图)内解释。
附图说明
图1描绘根据本发明的实施例的示例第一视图;
图2描绘根据本发明的实施例的示例第二视图;
图3描绘根据本发明的实施例的示例物品视图;
图4描绘根据本发明的实施例的示例定尺寸器视图;
图5描绘根据本发明的实施例的用于评价图像的示例过程的流程图;
图6描绘根据本发明的实施例的用于捕获与物品的表面特征相关的数据的示例过程的流程图;以及
图7描绘根据本发明的实施例的可操作为定尺寸器的示例计算机系统。
具体实施方式
关于评价从由定尺寸器检查的物品所捕获的图像数据描述本发明的示例实施例。因此,数据的适合性被评价用于以此计算准确的尺寸测量结果。在示例实施例中,定尺寸器因此可操作用于在定尺寸器以此所捕获的图像数据中识别错误值并拒绝错误值用于尺寸测量结果计算。此外,定尺寸器可操作用于校正所捕获的图像数据,并基于校正后的值来计算准确的尺寸测量结果。
概要。
关于评价物品的图像描述示例实施例。在第一时间捕获具有物品的表面中的两个或更多的视图的物品的第一图像。计算并存储表面中的一个或多个的至少一个尺寸的测量结果。在继第一时间之后的第二时间捕获具有两个或更多表面中的至少一个的视图的物品的第二图像。尺寸的测量结果然后被计算并与所存储的第一测量结果进行比较,并且基于该比较而评价。
本发明的示例实施例使用由定尺寸器从先前图像所访问的信息来评价当前图像。对当前图像进行评价定尺寸器的用户是否触发定尺寸器以进行与当前图像中的物品相关的测量。由定尺寸器所访问的信息可以是基于线框的和/或基于图像的。基于线框的信息可以关于计算资源是经济的。基于图像的信息可以在与拒绝图像或以此进行的测量相关的决定中给出较高置信度。
示例定尺寸器和图像视图。
示例实施例可以在其情况下可操作的物品可以包括与要存储的库存或要装运或运输的货物相关联的盒、箱或另一包。图1描绘根据本发明的实施例的示例第一视图10。典型的物品可以包括与要存储的库存或要装运或运输的货物相关联的盒、箱或另一包。
第一视图10示出了再现(render)在示例定尺寸器11的显示屏上的包括盒的物品12的图像15。虽然此处被描绘为平板计算机,但是定尺寸器11可以包括设置或部署在固定位置中的另一移动设备或计算机装置(或其组件)。物品12的三(3)个侧面以及“地面”13是可见的,所述地面表示支承物品12的重量的任何表面或结构。定尺寸器11被示出在图像15的前景中,图像15示出了地面13上的盒物品12,其在视图10中包括台面。图像15示出了良好的线框16,线框16关于符合其三个可见侧面的物品12的外围进行描画。如图像15中所示的盒物品12的尺寸是准确的,并且因此适合于商业用途。
图2描绘根据本发明的实施例的示例第二视图20。在第二视图20中,相对于第一视图10(图1),从与定尺寸器的用户向其自身的右边的移动相关联的视角再现盒物品12。第二视图20中所示的尺寸与第一视图10(图1)中所示的那些尺寸相同,在第一视图10中物品12占据第一位置。
第二视图20中所示的物品12的位置相对于如第一视图10中所示的其位置轴向地位移。线框尺寸可以根据在多个位置中的每一个之上所取得(“捕获”)的物品12的图像进行比较,这有助于确认定尺寸器11事实上在每一个视图中对相同的盒进行成像。因此,可以实现示例实施例,其中在当前图像中所示的物品12和如先前图像中所示的物品之间建立一致性。
因此,虽然视图20从与视图10中所示的视角相比提供稍欠佳的角度的视角示出相同的盒物品12,但是物品12的尺寸可以被计算为与从视图10(图1)所计算的尺寸相同。线框信息的使用以及图像25的捕获和图像15的捕获(图1)之间的时间间隔的计算构建了图像25中的盒物品12共享一致性的置信度,例如,从一个图像到下一图像,物品12未改变。
在示例实施例中,关于物品12在不同对应时间所捕获的多个图像之上的一致性的更强确认通过比较每一个图像之上的物品12的表面的特征来实现。边界因此可以围绕表面特征而描画。例如,边界线可以围绕表面特征基于与每一个特征相关联的颜色或另一色彩(或者其他)特性来创建。因此,边界关于例如由不同颜色区分的每一个特征而描画。表面特征的边界然后映射到基于线框的坐标系并存储。
图3描绘了根据本发明的实施例的物品12的示例视图30。视图30描绘了描画物品12的多个表面特征中的每一个的边界框31。特征可以是手写的或预印的文本、标志和/或条形码。文本和标志可以包括字母数字的、表意的、和/或象形的符号、图标、象征等。
围绕打印的文本而描画的边界框或其他表面特征被用于比较连续图像,以构建在盒物品12的一致性方面是相同的置信度,不管定尺寸器11的用户是否以此执行“进行测量”命令。
从一些视角捕获的图像可能缺少用于计算物品12的尺寸的准确测量结果的足够信息。例如,用户可能继续围绕物品到某一点,在其处定尺寸器11面向盒物品的仅单个端。从这样的视角进行的深度尺寸的测量可能包括错误的信息。
在定尺寸器的认证过程期间计算的错误的测量结果通常导致其失败。在商业交易期间例如关于用于存储和/或运输物品的评估费用所计算的错误的测量结果导致不准确性,诸如不足的收入捕获或索价过高。
图4描绘了根据本发明的实施例的定尺寸器11上的示例视图40。视图40示出了其中用户已经移动定尺寸器11一直到面向盒物品的一侧的物品12的视角。虽然物品12未改变并且因此与其他视图10、20和30(分别地,图1、2和3)中所示的盒共享一致性,但是尺寸44当中所显示的深度是不正确的并且被报告为具有不足的大小(“太小”)。
在示例实施例中,该不正确的深度测量结果被拒绝并从显示删除。根据在各对应时间捕获的图像所计算的连续线框和/或物品12的盒上的比较标记或其他表面特征被用于拒绝深度测量结果。
本发明的示例实施例涉及一种用于评价图像数据来以此接受或拒绝尺寸测量结果的方法。该示例过程以及包括指令(例如,与定尺寸器11相关联的软件)的非临时性计算机可读存储介质可操作用于适当地进行相关的判断。此外,实现示例实施例,其中指令被配置成校正深度测量结果。例如,根据之前图像所计算的相关的深度测量结果的平均可以被用于提供深度尺寸的正确测量结果。
示例过程。
本发明的示例实施例涉及一种用于关于数据的适合性评价从由定尺寸器检查的物品所捕获的图像数据以用于以此计算准确的尺寸测量结果的计算机实现方法。该方法可以涉及运行在计算机系统上的过程,其可操作地配置为定尺寸器。
实现示例实施例,其中定尺寸器因此可操作用于在定尺寸器以此所捕获的图像数据中识别错误值并拒绝错误值用于尺寸测量结果计算。此外,定尺寸器可操作用于校正所捕获的图像数据并基于校正后的值来计算准确的尺寸测量结果。
图5描绘了根据本发明的实施例的用于评价图像的示例过程500的流程图。
在步骤501中,在第一时间点捕获具有物品的表面中的两个或更多(例如,三个)的视图的物品的第一图像。
在步骤502中,计算并存储表面中的一个或多个的至少一个尺寸的测量结果。
在步骤503中,在第二时间点捕获具有两个或更多表面中的至少一个的视图的物品的第二图像。第二时间点继第一时间点之后。
在步骤504中,两个或更多表面中的至少一个的至少一个尺寸的测量结果根据所捕获的第二图像来计算。
在步骤505中,将两个或更多表面中的至少一个的至少一个尺寸的所计算测量结果与所存储的第一测量结果进行比较。
在步骤506中,基于该比较来评价两个或更多表面中的至少一个的至少一个尺寸的所计算测量结果。
在步骤507中,评价步骤506涉及选择性接受或拒绝两个或更多表面中的至少一个的至少一个尺寸的所计算测量结果。如果接受所计算测量结果,则过程500可以完成。
可以实现示例实施例,其中所捕获的第一图像和/或所捕获的第二图像均包括基于与物品的特性相关的数据的信息。可替代地或另外地,所捕获的第一图像和/或所捕获的第二图像均包括基于与关于所捕获的图像构成的物品的线框模型相关的数据的信息。
信息可以涉及物品的一个或多个表面的一个或多个特征。一个或多个表面特征可以涉及在表面上可见的对应色彩(颜色相关)的特性。可替代地或另外地,一个或多个表面特征包括标志、条形码图案、或基于文本的、字母数字的、表意的、或象形的符号。符号可以包括手写的或预印书写的象征、图标等。
在示例实施例中,比较步骤包括计算第二时间和第一时间之间的间隔的持续时间。评价步骤可以包括使用所计算的间隔持续时间来建立第二图像中的物品的表示与第一图像中的物品的表示之间的一致性。例如,物品的一致性因此可以被确认为从在第一时间捕获的第一图像到在随后的第二时间捕获的第二图像未改变。
步骤501处的图像的评价可以至少部分地基于与出现在物品的表面上的一个或多个可见特征相关的分析。可以如例如以下关于过程60(图6)所描述的那样实现表面特征的分析。
图6描绘了根据本发明的实施例的用于捕获与物品的表面特征相关的数据的示例过程60的流程图。
在步骤61中,在第一捕获图像中描画关于物品的一个或多个表面特征的外围的边界。例如,可以关于(一个或多个)表面特征(例如,围绕、包围、接近(一个或多个)表面特征的外围等)创建边界线。
在步骤62中,所描画的边界被映射到坐标系中的对应位置。
在步骤63中,存储对应于所映射的边界的数据。例如,所映射的边界数据可以存储在诸如存储器和/或驱动器或闪存相关的存储单元等之类的非临时性计算机可读存储介质中。
在步骤64中,在所捕获的第二图像中识别表面特征。
在步骤65中,关于所识别的表面特性调查对应于边界的数据。当例如在所捕获的第二图像中识别出表面特征时,定尺寸器软件的调查特征可以可操作用于相对于关于所识别的表面特征的外围的边界而扫描所识别的表面特征,因为其可能出现在对应于所捕获的第二图像的视图中所示的视角中。
在步骤66中,将所调查的边界数据与所存储的边界数据进行比较。
在步骤67中,评价步骤至少部分地基于所调查的边界数据与所存储的边界数据的比较。
再次参考图5,所捕获的第二图像中所示的两个或更多表面中的至少一个的至少一个尺寸的所计算测量结果的评价也可以包括在决定步骤507中对其的拒绝。可以实现示例实施例,其中过程500可操作用于校正被拒绝的尺寸。
在步骤511中,例如,在对应(例如,第三)时间点捕获物品的至少第三图像。第三(或其他对应)时间点继第一时间点之后,但发生在第二时间点之前。因此,第三(或其他对应)时间点发生在第一时间点和第二时间点之间。所捕获的至少第三图像包括两个或更多表面中的至少一个的视图。
在步骤512中,基于所捕获的至少第三图像来计算两个或更多表面中的至少一个的至少一个尺寸的测量结果。
在步骤513中,将基于所捕获的至少第三图像而计算的测量结果与所存储的第一测量结果进行比较。
在步骤514中,基于所捕获的至少第三图像而计算的测量结果基于与所存储的第一测量结果的比较而被认可并存储(例如,基于其独立评价,其发生在评价步骤506之前)。
在步骤515中,平均值基于所存储的第一测量结果和根据所捕获的至少第三图像的所存储的认可测量结果的平均来计算。
在步骤521中,经评价的测量结果(其在步骤507中被拒绝)基于所计算的平均值来校正。在校正测量结果之后,过程500然后可以是完成的。
可以实现示例实施例,其中第一图像的捕获步骤包括从与物品的第一位置相关联的视角记录物品的两个或更多表面的视图。
第二图像的捕获步骤包括从与物品的第二位置相关联的视角记录两个或更多表面中的至少一个的视图。第二位置相对于第一位置而位移(例如,横向、纵向、轴向等)。
图像的评价可以包括基于评价步骤来认证用于与存储或运输物品中的一个或多个相关的商业交易的费用。可替代地或另外地,图像的评价可以包括基于评价步骤来认证用于商业用途的定尺寸器。
可以实现示例实施例,其中由计算机系统的处理器组件执行、运行、控制、引起和/或触发过程500和过程60(图6)。处理器组件可操作用于基于作为非临时性计算机可读存储介质组件的特征而有形地存储(电子地、电气地、磁性地、光学地、物理地等)的指令来运行或执行过程500和过程60。
示例计算机系统和网络。
图7描绘根据本发明的实施例的示例计算机网络700。计算机网络包括数据网络728和通信地耦合到其的第一计算机系统705。至少第二计算机798也可以通信地耦合到数据网络728。
第一计算机系统705可操作地配置(例如,通过对其进行编程所利用的软件代码)为定尺寸器。第一计算机系统(“定尺寸器”)705可以包括移动设备,诸如平板计算机、便携式数据终端(PDT)、智能电话、便携式(或个人)数字助理(PDA)和/或另一移动或便携式计算装置。定尺寸器705还可以包括固定的或基本上静止的计算机系统或其组件。定尺寸器705可以因此在固定位置中部署、设置和操作。固定位置可以设置成接近于与存储或运输相关门户(portal)相关联的场所。存储或运输门户可以与物流、商业、工业、农业、军用、实验室(例如,认证)设置或另一设施相关联。
定尺寸器705可操作用于与诸如至少一个计算机798之类的其他设备通信。定尺寸器705经由网络728与计算机798通信地耦合。网络728可以包括分组交换数据网络,其基于传输控制和网际协议(例如TCP/IP)而可操作。
数据网络728可以包括一个或多个其他网络和/或两个或更多子网络(“子网”)组件的部分。例如,数据网络728可以包括因特网和/或特定的广域网(WAN)的部分。网络728还可以包括一个或多个WAN和/或局域网(LAN)子网组件。数据网络728的部分可以无线地和/或利用有线线路相关方式而可操作。数据网络728还可以至少部分地包括数字电话网络。
至少第二计算机(“计算机”)798可以包括移动设备。计算机798还可以位于特定位置处,其中其可以设置在或多或少固定的或者至少静止的位置或配置中。关于定尺寸器705,计算机798也可以可操作为服务器和/或可操作用于执行与以此(例如,利用数据库777)聚集或访问的信息的控制或集中汇聚、处理或存储相关的一个或多个功能。
例如,可以实现本发明的实施例,其中定尺寸器705可操作用于通过网络728将与对应于所捕获的图像的评价的数据相关的报告745发送到计算机798。计算机798然后可以在数据库777中存储图像评价相关的数据,其可以在随后的时间从所述数据库777检索。从数据库777检索的数据可以用在评价其他(例如,随后)的图像中。
定尺寸器705也可以可操作用于照相地捕获图像(包括记录视频)和/或扫描并读取条形码图案以及由图形介质所呈现的其他数据。定尺寸器705也可以包括组件746,其可操作用于扫描射频标识(RFID)标签和处理与其相关联的数据。
与条形码和/或RFID标签相关联的数据和图像可以被发送到计算机798。除了捕获和评价图像之外,定尺寸器705还可以将所扫描的条形码(和RFID)用于从其关于相关联的物品(例如,包装、存货、产品、商品、部件、组件等)读取数据(例如库存信息、价格等)。
定尺寸器705然后可以向计算机798经由网络728无线地通过网络728将图像评价报告745、与其相关的数据、和/或扫描相关的数据发送到计算机798。
在接收到其时,计算机798可以可操作用于处理与图像评价相关的数据和扫描相关的数据。扫描数据可以涉及图像评价。例如,扫描数据可以涉及所捕获的图像、与其相关联的测量结果、和/或边界或与物品的表面特征相关的其他信息的调查。
扫描数据可以涉及与物品的运输和/或存储相关的商业交易。扫描数据也可以涉及物品的销售、转移或其他处置,并与条形码或RFID标签相关联。因此,数据的处理可以允许例如基于图像评价和与扫描表面特征和条形码(或RFID标签)相关联的物品的其他方面关于库存、追踪装运等而更新数据库777。
定尺寸器705包括多个电子组件,其每一个耦合到数据总线702。数据总线702可操作用于允许定尺寸器705的多个各种电子组件中的每一个与定尺寸器705的其他电子组件中的每一个传导地交换数据信号。
定尺寸器705的电子组件可以包括集成电路(IC)设备,包括一个或多个微处理器。定尺寸器705的电子组件还可以包括其他IC设备,诸如微控制器、现场可编程门阵列(FPGA)或其他可编程逻辑器件(PLD)或专用IC(ASIC)。
微处理器包括中央处理单元(CPU)704。CPU 704可操作用于执行与定尺寸器705的操作相关的一般数据处理功能。定尺寸器705的电子组件还可以包括一个或多个其他处理器744。其他微处理器还可以包括图形处理单元(GPU)和/或数字信号处理器(DSP)704,其均可操作用于执行与一般处理功能相比可能稍微更专用的数据处理功能以及有时与CPU 704共享一般处理功能中的一些。
处理器744之一也可以可操作为“数学”(数学的)协处理器。数学协处理器、DSP和/或GPU(“DSP/GPU”)744可操作用于执行计算上密集的数据处理。计算上密集的处理涉及成像、图像评价、图解、尺寸测量、线框操纵、坐标系管理、物流以及其他(例如,数学、财务)信息。
数据处理操作包括通过CPU 704和DSP/GPU
744电子地执行的计算。例如,微处理器可以包括可操作为算术逻辑单元(ALU)、浮点逻辑单元(FPU)以及相关联的存储器单元的组件。存储器单元包括非临时性数据存储介质,其可以被配置为高速缓存(例如,“L1”、“L2”)、寄存器、锁存器和/或缓冲器。存储器单元可操作用于关于处理器的各种功能电子地存储数据。例如,转换后备缓冲器(translational
look-aside buffer,TLB)可以可操作用于优化由CPU 704和/或DSP/GPU 744对内容可寻址存储器(CAM)的使用的效率。
定尺寸器705还包括非临时性计算机可读存储介质,其例如电子地可操作用于存储数据。例如,定尺寸器705包括主存储器706,诸如随机存取存储器(RAM)或其他动态存储设备706。主存储器706耦合到数据总线702以用于存储信息和要由CPU 704执行的指令。主存储器706还可以被用于在由CPU 704对指令的执行期间存储临时变量或其他中间信息。其他存储器(在本描述中参考RAM 706所表示的)可以被安装用于由DSP/GPU 744的类似使用。
定尺寸器705还包括只读存储器(ROM)708或耦合到数据总线702的其他静态存储设备。ROM 708可操作用于存储静态信息和指令以供CPU
704使用。除了RAM 706和ROM
708之外,定尺寸器705的非临时性存储介质可以包括至少一个数据存储设备710。数据存储设备710可操作用于存储信息和指令并允许对其的访问。
数据存储设备710可以包括磁盘驱动器、闪存驱动器、或光盘驱动器。数据存储设备710包括耦合到数据总线702的非临时性介质,并可以可操作用于提供“虚拟存储器”功能。存储设备710的虚拟存储器操作可以至少暂时地补充诸如RAM 706之类的其他非临时性介质的存储容量。
定尺寸器705的非临时性存储介质还包括指令(“定尺寸器指令”)755,其关于软件而存储(例如,电子地、磁性地、光学地、物理地等)以用于编程、控制和/或配置其与评价图像和计算其中表征的物品的测量结果相关的操作。非临时性定尺寸器指令755还可以(或可替代地)与存储710和定尺寸器705的其他存储组件相关联地存储。
与图像的评价相关的非临时性编程指令、软件、设置和配置由存储器、闪存、或驱动器相关的非临时性存储介质755和/或利用非临时性存储介质710进行存储(例如,磁性地、电子地、光学地、物理地等)。非临时性存储介质710还可以存储指令集788,其涉及其他功能特征集,利用其定尺寸器705还可以也可操作例如用于执行其他功能特征。
可以实现示例实施例,其中特征集788涉及与涉及捕获和评价图像的定尺寸器705的功能相关联的应用、工具和工具集、菜单(和子菜单)、以及宏。集788还可以涉及扫描和读取条形码图案和RFID标签、拍照、记录视频和/或音频信息、电话操作、以及捕获与图像以及图形介质和其他信息源的呈现相关的其他数据。
定尺寸器705包括用户交互触摸屏725,其可操作为组合的图形用户界面(GUI)和显示器组件725。触摸屏725可以包括液晶显示器(LCD),其可操作用于通过调制液晶晶体管组件的阵列的可变偏振状态来再现图像。触摸屏725还包括可操作用于从用户接收触觉输入的接口。
GUI触摸屏725的触觉接口可以包括例如显微(或透明)导体的至少两个阵列,其每一个与另一个电绝缘并相对于另一个设置在显示器725在垂直取向上的表面之下。触觉输入包括施加到触摸屏GUI 725的表面的压力,其使电容值的对应局部改变接近于由导体栅格所感测的压力施加,以实现对应于输入的信号。
在示例实施例中,触摸屏GUI和显示器组件725可操作用于关于尺寸相关的图像评价而再现图形报告745。图像评价报告745由显示器725在从CPU 704和/或GPU/DSP 744接收到与定尺寸和图像评价相关的数据时再现。
触摸屏GUI组件725可以可操作地实现以用于在升高(例如,高)动态范围(HDR)之上再现图像,图像的再现也可以基于调制背光单元(BLU)。例如,BLU可以包括发光二极管(LED)的阵列。LCD可以根据第一信号来调制,并且BLU的LED可以根据第二信号来调制。触摸屏725可以通过相对于第一调制信号实时地协调第二调制信号来再现HDR图像。
多个输入714可以包括一个或多个机电开关,其可以被实现为按钮、框(escutcheon)、或光标控件。输入714也可以包括键盘。键盘可以包括字母数字的(和/或表意的、基于音节的)键的阵列,其可操作用于键入字母、数字和其他符号。键盘还可以包括方向(例如,“上/下”、“左/右”)键的阵列,其可操作用于将命令和数据选择传送到CPU
704和用于控制再现在触摸屏GUI显示器725之上的光标的移动。
方向键可以可操作用于在触摸屏GUI 725的显示器组件上呈现的至少两(2)个垂直设置的轴之上呈现光标的两(2)个自由度。水平设置第一“x”轴。垂直设置与第一轴互补(complimentary)的第二“Y”轴。因此,定尺寸器705因此可操作用于在几何平面的表示和/或其他坐标系之上指定位置。
音频转换器(transducer)(“变换器(xducer)”)727具有麦克风功能和扬声器功能。麦克风功能可操作用于将语音和其他声音转换成对应的电信号,其可以经由接口718而被访问并由定尺寸器705的电子组件中的一个或多个进行处理。扬声器功能可操作用于可听地转换由电子组件所生成的、经由接口718而被访问的信号。音频转换器和相关联的接口714因此允许定尺寸器705电话地起作用,并响应于音频用户命令。
定尺寸器705可以可操作用于扫描视觉数据,诸如条形码图案和/或呈现在打印的图形介质和/或自我点亮(self-lit)电子显示器上的其他图像。本发明的示例实施例还涉及将定尺寸器705用于拍照和记录视频。摄像机组件748耦合到数据总线702。摄像机组件748可操作用于接收与所扫描的条形码图案相关的数据。
摄像机组件748还可操作用于接收分别与照片和视频相关的静态和动态图像数据。摄像机组件748可以接收从图像传感器749捕获的数据。图像传感器749可以包括电荷耦合器件(CCD)、光电二极管(PD)、或基于有源互补型金属氧化物半导体(CMOS)的成像器件的阵列。图像传感器749可以与光学组件(“光学器件”)747的系统一起可操作。定尺寸器和图像评价指令755以及移动设备700的条形码扫描(和其他)(一个或多个)特征与摄像机组件748、图像传感器组件749、和/或光学器件747中的一个或多个一起可操作。
定尺寸器705的电子组件还可以包括耦合到数据总线702的RFID扫描器746。RFID扫描器746可操作用于扫描RFID标签。
包含在主存储器706中的指令序列的执行使CPU 704执行与定尺寸器705的操作相关联的过程步骤。一个或多个微处理器可操作用于执行包含在主存储器706中的指令。另外地和/或可替代地,硬接线电路可以代替软件指令或者与软件指令结合地使用。因此,定尺寸器705不限于电路、硬件、固件和/或软件的任何特定组合。
如本文所使用的术语“计算机可读存储介质”可以是指参与将指令提供给CPU 704(和DSP/GPU 744)以供执行的任何非临时性存储介质。这样的介质可以采取许多形式,包括但不限于,非易失性介质、易失性介质和传输介质。非易失性介质包括例如CPU
704、DSP/GPU 744、非临时性存储定尺寸器指令755和其他光学、电子、或磁性盘的经配置/编程的有源元件,诸如存储设备710。易失性介质包括例如与RAM 706相关联的动态存储器。
传输介质包括同轴电缆、铜线和其他电导体以及光纤,包括包含数据总线702的电线(和/或其他导体或光学器件)。
传输介质还可以采取电磁辐射(例如,光波)的形式,诸如可以在射频(RF)和红外(IR)以及其他光学频率处生成的。数据通信也可以使用其他方式来实现,包括声学(例如,声音相关的)或其他机械、振动、或声子相关的介质。
非临时性计算机可读存储介质可以包括例如诸如可以经由通用串行总线(USB)而可访问的闪存驱动器或计算机可以从其读取数据的任何介质。
非临时性计算机可读存储介质的各种形式可以参与将一个或多个指令的一个或多个序列载送到CPU 704以供执行。例如,指令最初可以承载在远程计算机(例如,计算机798)的磁盘或其他盘上。远程计算机可以将指令加载到其动态存储器中,并通过网络728发送指令。
定尺寸器705可以通过网络728接收数据并使用IR、RF或其他发射机装置以将数据转换为对应的信号。耦合到数据总线702的IR、RF或其他信号检测器或接收机(“接收机”)可以接收在对应的信号中承载的数据,并将数据置于数据总线702上。与发射机和接收机相关联的操作可以组合在发射机/接收机(收发机)装置中。发射机、接收机和/或收发机装置可以与接口718相关联。
数据总线702将数据载送到主存储器706,CPU 704和DSP/GPU 744从所述主存储器706检索指令并执行指令。由主存储器706接收的指令可以可选地在由CPU 704执行之前或之后存储在存储设备710上。
接口718可以包括耦合到数据总线702的通信接口。除了在数据总线702和音频转换器727之间对接音频信号之外,通信接口还可操作用于提供耦合到网络链接720的双向(或更多向)数据通信,其可以在射频(RF)处无线地连接到网络728。无线通信也可以光学地实现,例如,在IR频率处。
在任何实现中,通信接口718发送和接收承载表示各种类型的信息的数字数据流的电气、电磁、或光学信号。网络链接720通过网络728向其他数据设备提供数据通信。通信接口718还可以向扬声器727提供音频信号。
网络728可以使用承载数字数据流的电气、电磁、和/或光学信号中的一个或多个。通过网络728并通过网络链接720和通信接口718发送的信号从和向定尺寸器705载送数字数据。定尺寸器705可以通过网络728、网络链接720和通信接口718发送消息和接收数据,包括程序代码。
为了补充本公开,本申请通过引用整体并入以下共同转让的专利,专利申请公开和专利申请:
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8,794,526;
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;
国际公布号2013/163789;
国际公布号2013/173985;
国际公布号2014/019130;
国际公布号2014/110495;
美国专利申请公布号2008/0185432;
美国专利申请公布号2009/0134221;
美国专利申请公布号2010/0177080;
美国专利申请公布号2010/0177076;
美国专利申请公布号2010/0177707;
美国专利申请公布号2010/0177749;
美国专利申请公布号2011/0202554;
美国专利申请公布号2012/0111946;
美国专利申请公布号2012/0138685;
美国专利申请公布号2012/0168511;
美国专利申请公布号2012/0168512;
美国专利申请公布号2012/0193423;
美国专利申请公布号2012/0203647;
美国专利申请公布号2012/0223141;
美国专利申请公布号2012/0228382;
美国专利申请公布号2012/0248188;
美国专利申请公布号2013/0043312;
美国专利申请公布号2013/0056285;
美国专利申请公布号2013/0070322;
美国专利申请公布号2013/0075168;
美国专利申请公布号2013/0082104;
美国专利申请公布号2013/0175341;
美国专利申请公布号2013/0175343;
美国专利申请公布号2013/0200158;
美国专利申请公布号2013/0256418;
美国专利申请公布号2013/0257744;
美国专利申请公布号2013/0257759;
美国专利申请公布号2013/0270346;
美国专利申请公布号2013/0278425;
美国专利申请公布号2013/0287258;
美国专利申请公布号2013/0292475;
美国专利申请公布号2013/0292477;
美国专利申请公布号2013/0293539;
美国专利申请公布号2013/0293540;
美国专利申请公布号2013/0306728;
美国专利申请公布号2013/0306730;
美国专利申请公布号2013/0306731;
美国专利申请公布号2013/0307964;
美国专利申请公布号2013/0308625;
美国专利申请公布号2013/0313324;
美国专利申请公布号2013/0313325;
美国专利申请公布号2013/0341399;
美国专利申请公布号2013/0342717;
美国专利申请公布号2014/0001267;
美国专利申请公布号2014/0002828;
美国专利申请公布号2014/0008430;
美国专利申请公布号2014/0008439;
美国专利申请公布号2014/0025584;
美国专利申请公布号2014/0027518;
美国专利申请公布号2014/0034734;
美国专利申请公布号2014/0036848;
美国专利申请公布号2014/0039693;
美国专利申请公布号2014/0042814;
美国专利申请公布号2014/0049120;
美国专利申请公布号2014/0049635;
美国专利申请公布号2014/0061305;
美国专利申请公布号2014/0061306;
美国专利申请公布号2014/0063289;
美国专利申请公布号2014/0066136;
美国专利申请公布号2014/0067692;
美国专利申请公布号2014/0070005;
美国专利申请公布号2014/0071840;
美国专利申请公布号2014/0074746;
美国专利申请公布号2014/0075846;
美国专利申请公布号2014/0076974;
美国专利申请公布号2014/0078341;
美国专利申请公布号2014/0078342;
美国专利申请公布号2014/0078345;
美国专利申请公布号2014/0084068;
美国专利申请公布号2014/0097249;
美国专利申请公布号2014/0098792;
美国专利申请公布号2014/0100774;
美国专利申请公布号2014/0100813;
美国专利申请公布号2014/0103115;
美国专利申请公布号2014/0104413;
美国专利申请公布号2014/0104414;
美国专利申请公布号2014/0104416;
美国专利申请公布号2014/0104451;
美国专利申请公布号2014/0106594;
美国专利申请公布号2014/0106725;
美国专利申请公布号2014/0108010;
美国专利申请公布号2014/0108402;
美国专利申请公布号2014/0108682;
美国专利申请公布号2014/0110485;
美国专利申请公布号2014/0114530;
美国专利申请公布号2014/0124577;
美国专利申请公布号2014/0124579;
美国专利申请公布号2014/0125842;
美国专利申请公布号2014/0125853;
美国专利申请公布号2014/0125999;
美国专利申请公布号2014/0129378;
美国专利申请公布号2014/0131438;
美国专利申请公布号2014/0131441;
美国专利申请公布号2014/0131443;
美国专利申请公布号2014/0131444;
美国专利申请公布号2014/0131445;
美国专利申请公布号2014/0131448;
美国专利申请公布号2014/0133379;
美国专利申请公布号2014/0136208;
美国专利申请公布号2014/0140585;
美国专利申请公布号2014/0151453;
美国专利申请公布号2014/0152882;
美国专利申请公布号2014/0158770;
美国专利申请公布号2014/0159869;
美国专利申请公布号2014/0160329;
美国专利申请公布号2014/0166755;
美国专利申请公布号2014/0166757;
美国专利申请公布号2014/0166759;
美国专利申请公布号2014/0166760;
美国专利申请公布号2014/0166761;
美国专利申请公布号2014/0168787;
美国专利申请公布号2014/0175165;
美国专利申请公布号2014/0175169;
美国专利申请公布号2014/0175172;
美国专利申请公布号2014/0175174;
美国专利申请公布号2014/0191644;
美国专利申请公布号2014/0191913;
美国专利申请公布号2014/0197238;
美国专利申请公布号2014/0197239;
美国专利申请公布号2014/0197304;
美国专利申请公布号2014/0203087;
美国专利申请公布号2014/0204268;
美国专利申请公布号2014/0214631;
美国专利申请公布号2014/0217166;
美国专利申请公布号2014/0217180;
美国专利申请号13/367,978针对a Laser
Scanning Module Employing an Elastomeric U-Hinge Based Laser Scanning Assembly,提交于2012年2月7日(Feng等人);
美国专利申请号29/436,337针对an Electronic
Device,提交于2012年11月5日(Fitch等人);
美国专利申请号13/771,508针对an Optical
Redirection Adapter,提交于2013年2月20日(Anderson);
美国专利申请号13/852,097针对a System
and Method for Capturing and Preserving Vehicle Event Data,提交于2013年3月28日(Barker等人);
美国专利申请号13/902,110针对a System
and Method for Display of Information Using a Vehicle-Mount Computer,提交于2013年5月24日(Hollifield);
美国专利申请号13/902,144,针对a System and Method for Display of Information Using a
Vehicle-Mount Computer,提交于2013年5月24日(Chamberlin);
美国专利申请号13/902,242针对a System
For Providing A Continuous Communication Link With A Symbol Reading Device,提交于2013年5月24日(Smith等人);
美国专利申请号13/912,262针对a Method
of Error Correction for 3D Imaging Device,提交于2013年6月7日(Jovanovski等人);
美国专利申请号13/912,702针对a System
and Method for Reading Code Symbols at Long Range Using Source Power Control,提交于2013年6月7日(Xian等人);
美国专利申请号29/458,405针对an Electronic
Device,提交于2013年6月19日(Fitch等人);
美国专利申请号13/922,339针对a System
and Method for Reading Code Symbols Using a Variable Field of View,提交于2013年6月20日(Xian等人);
美国专利申请号13/927,398针对a Code
Symbol Reading System Having Adaptive Autofocus,提交于2013年6月26日(Todeschini);
美国专利申请号13/930,913针对a Mobile
Device Having an Improved User Interface for Reading Code Symbols,提交于2013年6月28日(Gelay等人);
美国专利申请号29/459,620针对an Electronic
Device Enclosure,提交于2013年7月2日(London等人);
美国专利申请号29/459,681针对an Electronic
Device Enclosure,提交于2013年7月2日(Chaney等人);
美国专利申请号13/933,415针对an Electronic
Device Case,提交于2013年7月2日(London等人);
美国专利申请号29/459,785针对a Scanner
and Charging Base,提交于2013年7月3日(Fitch等人);
美国专利申请号29/459,823针对a Scanner,提交于2013年7月3日(Zhou等人);
美国专利申请号13/947,296针对a System
and Method for Selectively Reading Code Symbols,提交于2013年7月22日(Rueblinger等人);
美国专利申请号13/950,544针对a Code
Symbol Reading System Having Adjustable Object Detection,提交于2013年7月25日(Jiang);
美国专利申请号13/961,408针对a Method
for Manufacturing Laser Scanners,提交于2013年8月7日(Saber等人);
美国专利申请号14/018,729针对a Method
for Operating a Laser Scanner,提交于2013年9月5日(Feng等人);
美国专利申请号14/019,616针对a Device
Having Light Source to Reduce Surface Pathogens,提交于2013年9月6日(Todeschini);
美国专利申请号14/023,762针对a Handheld
Indicia Reader Having Locking Endcap,提交于2013年9月11日(Gannon);
美国专利申请号14/035,474针对Augmented-Reality
Signature Capture,提交于2013年9月24日(Todeschini);
美国专利申请号29/468,118针对an Electronic
Device Case,提交于2013年9月26日(Oberpriller等人);
美国专利申请号14/055,234针对Dimensioning
System,提交于2013年10月16日(Fletcher);
美国专利申请号14/053,314针对Indicia
Reader,提交于2013年10月14日(Huck);
美国专利申请号14/065,768针对Hybrid
System and Method for Reading Indicia,提交于2013年10月29日(Meier等人);
美国专利申请号14/074,746针对Self-Checkout
Shopping System,提交于2013年11月8日(Hejl等人);
美国专利申请号14/074,787针对Method
and System for Configuring Mobile Devices via NFC Technology,提交于2013年11月8日(Smith等人);
美国专利申请号14/087,190针对Optimal
Range Indicators for Bar Code Validation,提交于2013年11月22日(Hejl);
美国专利申请号14/094,087针对Method
and System for Communicating Information in an Digital Signal,提交于2013年12月2日(Peake等人);
美国专利申请号14/101,965针对High
Dynamic-Range Indicia Reading System,提交于2013年12月10日(Xian);
美国专利申请号14/150,393针对Indicia-reader
Having Unitary Construction Scanner,提交于2014年1月8日(Colavito等人);
美国专利申请号14/154,207针对Laser
Barcode Scanner,提交于2014年1月14日(Hou等人);
美国专利申请号14/165,980针对System
and Method for Measuring Irregular Objects with a Single Camera提交于2014年1月28日(Li等人);
美国专利申请号14/166,103针对Indicia
Reading Terminal Including Optical Filter 提交于2014年1月28日(Lu等人);
美国专利申请号14/200,405针对Indicia
Reader for Size-Limited Applications 提交于2014年3月7日(Feng等人);
美国专利申请号14/231,898针对Hand-Mounted
Indicia-Reading Device with Finger Motion Triggering 提交于2014年4月1日(Van Horn等人);
美国专利申请号14/250,923for Reading Apparatus
Having Partial Frame Operating Mode 提交于4月11, 2014, (Deng等人);
美国专利申请号14/257,174针对Imaging
Terminal Having Data Compression 提交于4月21, 2014, (Barber等人);
美国专利申请号14/257,364针对Docking
System and Method Using Near Field Communication 提交于2014年4月21日(Showering);
美国专利申请号14/264,173针对Autofocus
Lens System for Indicia Readers 提交于2014年4月29日(Ackley等人);
美国专利申请号14/274,858针对Mobile
Printer with Optional Battery Accessory 提交于2014年5月12日(Marty等人);
美国专利申请号
14/277,337
针对
MULTIPURPOSE OPTICAL READER,
提交于
2014
年
5
月
14
日
(Jovanovski
等人
);
美国专利申请号
14/283,282
针对
TERMINAL HAVING ILLUMINATION AND FOCUS CONTROL
提交于
2014
年
5
月
21
日
(Liu
等人
);
美国专利申请号
14/300,276
针对
METHOD AND SYSTEM FOR CONSIDERING INFORMATION ABOUT AN
EXPECTED RESPONSE WHEN PERFORMING SPEECH RECOGNITION,
提交于
2014
年
6
月
10
日
(Braho
等人
);
美国专利申请号
14/305,153
针对
INDICIA READING SYSTEM EMPLOYING DIGITAL GAIN CONTROL
提交于
2014
年
6
月
16
日
(Xian
等人
);
美国专利申请号
14/310,226
针对
AUTOFOCUSING OPTICAL IMAGING DEVICE
提交于
2014
年
6
月
20
日
(Koziol
等人
);
美国专利申请号
14/327,722
针对
CUSTOMER FACING IMAGING SYSTEMS AND METHODS FOR OBTAINING
IMAGES
提交于
2014
年
7
月
10
日
(Oberpriller et al,);
美国专利申请号14/327,827针对a
MOBILE-PHONE ADAPTER FOR ELECTRONIC TRANSACTIONS,提交于2014年7月10日(Hejl);
美国专利申请号14/329,303针对CELL
PHONE READING MODE USING IMAGE TIMER提交于2014年7月11日(Coyle);
美国专利申请号14/333,588针对SYMBOL
READING SYSTEM WITH INTEGRATED SCALE BASE提交于2014年7月17日(Barten);
美国专利申请号14/334,934针对a
SYSTEM AND METHOD FOR INDICIA VERIFICATION,提交于2014年7月18日(Hejl);
美国专利申请号14/336,188针对METHOD
OF AND SYSTEM FOR DETECTING OBJECT WEIGHING INTERFERENCES,提交于2014年7月21日(Amundsen等人);
美国专利申请号14/339,708针对LASER
SCANNING CODE SYMBOL READING SYSTEM,提交于2014年7月24日(Xian等人);
美国专利申请号14/340,627针对an
AXIALLY REINFORCED FLEXIBLE SCAN ELEMENT,提交于2014年7月25日(Rueblinger等人);
美国专利申请号14/340,716针对an
OPTICAL IMAGER AND METHOD FOR CORRELATING A MEDICATION PACKAGE WITH A PATIENT,提交于2014年7月25日(Ellis);
美国专利申请号14/342,544针对Imaging
Based Barcode Scanner Engine with Multiple Elements Supported on a Common
Printed Circuit Board 提交于2014年3月4日(Liu等人);
美国专利申请号14/345,735针对Optical
Indicia Reading Terminal with Combined Illumination 提交于2014年3月19日(Ouyang);
美国专利申请号14/336,188针对METHOD
OF AND SYSTEM FOR DETECTING OBJECT WEIGHING INTERFERENCES,提交于2014年7月21日(Amundsen等人);
美国专利申请号14/355,613针对Optical
Indicia Reading Terminal with Color Image Sensor 提交于2014年5月1日(Lu等人);
美国专利申请号
14/370,237
针对
WEB-BASED SCAN-TASK ENABLED SYSTEM AND METHOD OF AND
APPARATUS FOR DEVELOPING AND DEPLOYING THE SAME ON A CLIENT-SERVER NETWORK
提交于
07/02/2014 (Chen
等人
);
美国专利申请号
14/370,267
针对
INDUSTRIAL DESIGN FOR CONSUMER DEVICE BASED SCANNING AND
MOBILITY,
提交于
2014
年
7
月
2
日
(Ma
等人
);
美国专利申请号
14/376,472,
针对
an ENCODED INFORMATION READING TERMINAL INCLUDING HTTP
SERVER,
提交于
08-04-2014 (Lu);
美国专利申请号
14/379,057
针对
METHOD OF USING CAMERA SENSOR INTERFACE TO TRANSFER
MULTIPLE CHANNELS OF SCAN DATA USING AN IMAGE FORMAT
提交于
2014
年
8
月
15
日
(Wang
等人
);
美国专利申请号14/452,697针对INTERACTIVE
INDICIA READER,提交于2014年8月6日(Todeschini);
美国专利申请号14/453,019针对DIMENSIONING
SYSTEM WITH GUIDED ALIGNMENT,提交于2014年8月6日(Li等人);
美国专利申请号14/460,387针对APPARATUS
FOR DISPLAYING BAR CODES FROM LIGHT EMITTING DISPLAY SURFACES提交于2014年8月15日(Van Horn等人);
美国专利申请号14/460,829针对ENCODED
INFORMATION READING TERMINAL WITH WIRELESS PATH SELECTON CAPABILITY,提交于2014年8月15日(Wang等人);
美国专利申请号14/462,801针对MOBILE
COMPUTING DEVICE WITH DATA COGNITION SOFTWARE,提交于2014年8月19日(Todeschini等人);
U.S. Patent Application No.14/446,387针对INDICIA
READING TERMINAL PROCESSING PLURALITY OF FRAMES OF IMAGE DATA RESPONSIVELY TO
TRIGGER SIGNAL ACTIVATION提交于2014年7月30日(Wang等人);
美国专利申请号14/446,391针对MULTIFUNCTION
POINT OF SALE APPARATUS WITH OPTICAL SIGNATURE CAPTURE提交于2014年7月30日(Good等人);
美国专利申请号29/486,759针对an
Imaging Terminal,提交于2014年4月2日(Oberpriller等人);
美国专利申请号29/492,903针对an
INDICIA SCANNER,提交于2014年6月4日(Zhou等人); 以及
美国专利申请号29/494,725针对an
IN-COUNTER BARCODE SCANNER,提交于2014年6月24日(Oberpriller等人)。
因此,已经描述了本发明的示例实施例。本发明的示例实施例涉及一种用于评价物品的图像的计算机实现方法。在第一时间捕获具有物品的表面中的两个或更多的视图的物品的第一图像。两个或更多表面中的一个或多个的至少一个尺寸的测量结果基于第一捕获图像来计算并存储。在继第一时间之后的第二时间捕获具有两个或更多表面中的至少一个的视图的物品的第二图像。计算两个或更多表面中的至少一个的至少一个尺寸的测量结果。将两个或更多表面中的至少一个的至少一个尺寸的所计算测量结果与所存储的第一测量结果进行比较。基于该比较来评价两个或更多表面中的至少一个的至少一个尺寸的所计算测量结果。示例方法可以由计算机系统的处理器组件基于物理地存储在非临时性计算机可读存储介质组件中的指令来实现。
为了清楚和简洁起见以及为了避免不必要或无用的混淆、模糊、妨碍或阻碍示例实施例的特征,对于本领域普通技术人员一般已知的某些复杂事物和细节可以被省略或较不详尽地讨论。任何这样的省略或讨论对于描述本发明的示例实施例是不必要的,并且不特别与理解本文所描述的示例实施例的显著特征、功能和方面相关。
在本说明书和/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实施例。术语“和/或”的使用包括相关联的列出物品中的一个或多个的任意和所有组合。附图是示意性的表示,并且因此未必按比例绘制。除非另有说明,否则特定术语以通用的和描述性的意义并非为了限制的目的而使用。
Claims (10)
1.一种用于评价物品的图像的方法,所述方法包括以下步骤:
在第一时间捕获物品的第一图像,第一图像包括物品的两个或更多表面的视图;
基于第一捕获图像来计算两个或更多表面中的一个或多个的至少一个尺寸的测量结果;
存储所计算的第一测量结果;
在继第一时间之后的第二时间捕获物品的第二图像,第二图像包括两个或更多表面中的至少一个的视图;
计算两个或更多表面中的至少一个的至少一个尺寸的测量结果;
将两个或更多表面中的至少一个的至少一个尺寸的所计算测量结果与所存储的第一测量结果进行比较;以及
基于比较步骤来评价两个或更多表面中的至少一个的至少一个尺寸的所计算测量结果。
2.如权利要求1所述的方法,其中评价步骤包括选择性地接受或拒绝两个或更多表面中的至少一个的至少一个尺寸的所计算测量结果。
3.如权利要求1所述的方法,其中所捕获的第一图像和所捕获的第二图像均包括基于与物品的特性相关的数据或者与物品的线框模型相关的数据中的一个或多个的信息。
4.如权利要求3所述的方法,其中信息涉及物品的一个或多个表面的一个或多个特征。
5.如权利要求4所述的方法,其中一个或多个表面特征涉及对应的色彩特性。
6.如权利要求4所述的方法,其中一个或多个表面特征包括标志或条形码图案中的至少一个。
7.如权利要求4所述的方法,其中一个或多个表面特征涉及基于文本的、字母数字的、表意的、或象形的符号中的至少一个。
8.如权利要求4所述的方法,其中符号包括手写的或预印书写的中的至少一个。
9.如权利要求4所述的方法,其中比较步骤包括计算第二时间和第一时间之间的间隔的持续时间。
10.一种计算机系统,包括:
总线组件;
处理器组件,其耦合到总线组件并且可操作用于处理数据;以及
非临时性存储组件,其耦合到总线组件并包括指令,所述指令当由处理器组件读取并执行时可操作用于执行、控制或引起用于评价物品的图像的过程,所述过程包括:
在第一时间捕获物品的第一图像,第一图像包括物品的两个或更多表面的视图;
基于第一捕获图像来计算两个或更多表面中的一个或多个的至少一个尺寸的测量结果;
存储所计算的第一测量结果;
在继第一时间之后的第二时间捕获物品的第二图像,第二图像包括两个或更多表面中的至少一个的视图;
计算两个或更多表面中的至少一个的至少一个尺寸的测量结果;
将两个或更多表面中的至少一个的至少一个尺寸的所计算测量结果与所存储的第一测量结果进行比较;以及
基于将两个或更多表面中的至少一个的至少一个尺寸的所计算测量结果与所存储的第一测量结果进行比较来评价两个或更多表面中的至少一个的至少一个尺寸的所计算测量结果。
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CN116071308A (zh) | 2023-05-05 |
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