EP2070008A1 - Dispositif de reconnaissance automatique - Google Patents

Dispositif de reconnaissance automatique

Info

Publication number
EP2070008A1
EP2070008A1 EP07786647A EP07786647A EP2070008A1 EP 2070008 A1 EP2070008 A1 EP 2070008A1 EP 07786647 A EP07786647 A EP 07786647A EP 07786647 A EP07786647 A EP 07786647A EP 2070008 A1 EP2070008 A1 EP 2070008A1
Authority
EP
European Patent Office
Prior art keywords
image
hand
image recognition
information
identification information
Prior art date
Legal status (The legal status 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 status listed.)
Withdrawn
Application number
EP07786647A
Other languages
German (de)
English (en)
Inventor
Herbert Mürdter
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Mettler Toledo Albstadt GmbH
Original Assignee
Mettler Toledo Albstadt GmbH
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 Mettler Toledo Albstadt GmbH filed Critical Mettler Toledo Albstadt GmbH
Publication of EP2070008A1 publication Critical patent/EP2070008A1/fr
Withdrawn legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/68—Food, e.g. fruit or vegetables
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/0036—Checkout procedures
    • G07G1/0045—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader
    • G07G1/0054—Checkout procedures with a code reader for reading of an identifying code of the article to be registered, e.g. barcode reader or radio-frequency identity [RFID] reader with control of supplementary check-parameters, e.g. weight or number of articles
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/01—Details for indicating

Definitions

  • the invention relates to a device for the automatic detection of objects, with an image recording device, in whose detection range at least one of the objects to be detected by hand can be introduced, and with an image recognition device, from a generated by the image pickup device of an object introduced into the detection area an object the identification of the item serving information can be generated, and a weighing device with such an automatic recognition device.
  • Automatic recognition devices of this type are known. They are used for example in weighing devices, by means of which the weight and the price of a product are automatically determined. While in typical self-service scales still used today, the customer must identify the weighed product by eg a keyboard himself, so that the product price can be calculated, this task is taken on scales with automatic recognition device.
  • An intended image recording device for example a camera, detects the objects to be detected and generates an image, on the basis of which an image recognition device identifies the objects. Such a balance is z. As disclosed in EP 0 443 419 B1. Also usable for image recognition methods are known.
  • One possibility consists in the basic principle of extracting characteristic image patterns from the recorded image which are compared with corresponding image patterns of target or product images, the object being identified via the product image whose image patterns have the greatest agreement with those of the recorded image.
  • a suitable method is z. As disclosed in EP 0 685 814 B1.
  • the hand of a person who has introduced the object to be detected in the detection range of the Schmauf ⁇ ahmeeinrichtüng can lead to an impairment of the image generated by the image pickup device.
  • the image recognition device is no longer able to generate sufficiently good identification information from the affected image.
  • the identification may end up being inconclusive, or the item may be identified but wrong.
  • the image recognition device selects carrots from a palette of possible products, although apples have been introduced into the capture area of the image capture device and their apple product image is also available for comparison.
  • the automatic recognition device is used in a self-service scale, there is an increased risk that a customer who does not know the automatic recognition principle of the balance, leaves his hand too long in the detection range of the image pickup device and thus affects the recorded image.
  • the device according to the invention which detects the presence of a hand in the detection area and controls the image recognition device, it is possible to react to the interference by the hand and to counteract an impairment of the detection area or the image produced by the image recording device, so that more reliable identification information can be obtained Image recognition device can be reached.
  • the detecting device compares temporally successive images of the
  • Image recording device with each other and causes the image recognition device for
  • the image recognition device need not be modified with respect to the image recognition process. For example, it is caused not to be instantaneous, but only after the "image standstill" has been detected, to generate the identification information, that is, it is controlled to a staggered operation.
  • the predetermined limit z. B. be adjusted by suitable preliminary tests.
  • the limit can be chosen so large that slight image fluctuations, which experience has shown can occur even without being present on a moving hand, are still within the prescribed limit.
  • the limit can be set so low that typical hand movements within the detection range in each case prevent the detection of an image match.
  • Image matching methods are much simpler than image recognition methods and well known in the art. For example, images can be compared pixel by pixel while specifying a tolerance threshold. If the difference of the images in a predetermined number of pixels is greater than the tolerance threshold, "image standstill" is negated.
  • the detecting device is designed for image recognition of the hand itself and blocks the generation of the identification information by the image recognition device, as long as the hand is detected.
  • the detecting device detects the hand immediately in this embodiment.
  • the image recognition of the hand itself works e.g. in principle, like the image recognition of objects.
  • the hand itself can be a selectable target image for the detecting device.
  • the detecting device may be functionally coincident with the image recognition device, wherein the recognition spectrum is extended to the human hand.
  • This directly recognizing embodiment of the automatic recognition device is once again more reliable than the indirectly recognizing one.
  • the automatic recognition device has a device for emitting a warning signal, which is emitted when the image recognition device has not yet been caused to generate the identification information after a predetermined detection time after introduction of the at least one object.
  • a warning signal may be an optical, acoustic, electro-acoustic or other suitable warning signal.
  • the detection time six seconds or less, preferably four seconds or less, in particular two
  • Identification of the subject takes place suitably short. It can also provided that after issuing a warning signal, the detection time starts to run again, so that more warning signals are emitted when a user leaves his hand still in the detection range of the image pickup device.
  • the warning signal can also be emitted if the detecting device still recognizes the hand after the expiry of a predetermined waiting time after introduction of the at least one object. It is advantageous if the waiting time is one second or more, preferably two seconds or more, in particular three seconds or more. A warning signal before the end of the waiting time might irritate a user of the recognition device. In addition, he must have sufficient time available to withdraw his hand from the detection range of the image pickup device before a warning signal is issued immediately.
  • the detecting device is designed for image recognition of the hand, and the generation of the identification information by the image recognition device can be performed on the basis of an image component that is adjusted by the hand.
  • This embodiment is advantageous in that it does not need to wait until a hand has been removed from the detection area of the image pickup device. Rather, the identification information despite the presence and the
  • Hand of the hand can be assigned. That is, image patterns of the hand are filtered out of the image so that the likelihood of misinterpretation is reduced.
  • the detecting device is advantageously associated with a memory device for storing features suitable for image recognition of the human hand, in particular reference images with image patterns of human hands, and the recognition of the hand is performed by comparing the image generated by the image recording device with at least one of the features or reference images.
  • the recognition principle can be based on the comparison of patterns of the recorded image with image patterns of reference images.
  • different hands can conveniently be stored in different positions as reference images in the storage device to facilitate the detection of the hand.
  • the generation of the identification information may be based on image patterns formed of a plurality of images generated by the image capture device after respective cleanup of corresponding image components of the hand. If, for example, the hand moves while the images are being taken, different images are available for evaluation in which, for example, different characteristic regions of the object to be recognized for generating the identification information can be taken into account.
  • the recognition device has a display device for real-time display of the image generated by the image recording device. From this, the user can see if his hands are in the image capture area and thereby get a suggestion to remove his hands
  • a weighing device in particular designed for customer self-service, which has a weighing cell for determining a weight value of an object placed on a supporting region of the weighing device and an automatic detection device according to the invention
  • the weighing device is thus able to determine a weight value of a product and to identify the product more reliably.
  • the detection range of the image recording device expediently agrees at least partially with the support region of the vehicle, so that weight value determination and identification of the object can take place at the same location
  • the balance device when the weighing device is set up in a shop, only products are included that are included in the product range of the shop.
  • the balance device a Speicherein ⁇ chtung on, are stored in the product images of the product range to which the image recognition emoplasty to generate the identification information can access, and / or stored in de r characteristic information about the products of the product range.
  • all suitably designed data memories can be considered as memory, whereby the memory content can preferably be changed in order to be able to update it when the product palette changes.
  • the detecting device after a predetermined Auflegezeit after placing the Object / objects operable.
  • the point in time at which the weighing cell registers the placement of an object or the time at which the weighing cell signals "standstill", ie when it is ready to determine the weight value can be defined as the time of attachment of the object (s).
  • the weighing device has a display device.
  • the product identified on the basis of the identification information can be displayed for the purpose of acknowledging and / or confirming the correctly identified object, or also a closer selection of product images selected on the basis of the identification information for the customer final identification of the object.
  • the display device may be any suitable and known itatiei ⁇ cardi, z. B. a flat screen.
  • the display device may also have the warning signal output device when optical warning signals are to be delivered.
  • information on the price per weight, the determined weight value, the price of the identified product and / or further product-related information can be displayed on the display device.
  • the weighing device also has an input device.
  • This can be designed, for example, for customer confirmation of a displayed product identification and / or for inputting a piece of information that ultimately serves to identify the item.
  • the input device can also be incorporated in the display device, for example in the form of a touch screen.
  • the weighing device also has a device for automatic
  • Assignment of determined weight value and product information of the identified counter-status For example, an arithmetic unit may be provided which is determined from the determined
  • an output device can be provided, by means of which product information about the identified object can be output to the user.
  • the output device can be a printer which, for example, outputs printed adhesive labels on which the purchase information is contained, in particular the determined weight value and / or the basic price and / or the calculated sales price.
  • the weighing device expediently has a control unit which controls and coordinates at least part of the above-mentioned devices, as well as a device for transmitting control signals and data flows between at least part of these devices.
  • Fig. 1 is a plan view obliquely from the front of a weighing device according to the invention.
  • Fig. 2 is a schematic diagram showing the hardware and software structure of the weighing apparatus with the automatic recognition apparatus according to the present invention.
  • the weighing device 1 shows a weighing device 1 according to the invention.
  • the weighing device 1 is composed of a plurality of hardware modules 12 (see FIG. 2) which are interconnected and form a functional unit.
  • the main body of the weighing device 1 has a flat-laid base body, in which a load cell 5 is integrated. Above the load cell 5 there is arranged a flat support area 4 "on which apples 3 are placed as products to be weighed and identified, as shown in Fig. 1. Coupled to a rear area of the load cell 5 is a central area 15 of the main body the weighing device 1, in which inter alia the software and hardware control 9 (9 1 , 9 ") of the weighing device 1 is housed. Visible in Fig. 1 is the output of a printer 8 to the front of the central area 15. The printer 8 outputs printed labels 8a on which at least the price of the identified and weighed products is included.
  • FIG. 1 Not visible in FIG. 1 is the interior of the hardware platform 9 with the automatic recognition device 2 according to the invention, the device 7 to the invention. Weighting and price calculation (allocation device), which are connected to a database 10, as well as the software control 9 ". These can be better seen in Fig. 2.
  • a touch panel 6 is flange-mounted so as to extend to the side opposite to the side of the base portion near which the middle portion 15 is mounted.
  • the touch screen 6 simultaneously represents a display device 6a and via its touch function also an input device 6b. Furthermore, optical warnings can also be displayed on the screen 6.
  • a support 16 for a camera 2a is mounted so that the detection area 4 (4 ', 4 ") of the camera 2a is set to be spaced from the camera 2a at the level of the support area 4 "of the load cell 5 essentially corresponds to the support region 4", support region 4 "and detection region 4 of the camera 2a therefore substantially coincide.
  • the camera support 16 is mounted on the upper portion of the touch screen 6 to the side of the central area 15 such that its projection onto the support area 4 is "substantially centered with respect to the support area 4". Further, the camera support 16 is curved so that its remote area is substantially parallel to the support area 4 ".
  • the camera 2a mounted below the remote area of the camera support 16 is therefore oriented so that the support area 4" is substantially exactly in the detection area 4 of the camera 2a lies.
  • the illustration shows software algorithms 11 and hardware modules 12 whose interface is provided by a PC operating system 9 "provided in the PC hardware platform 9 ', which form the control unit 9 for controlling the other components and devices as well as software algorithms the already explained above camera 2a, the weight sensor 5, an integrated into the touch screen display 6a and 6b keyboard as well as the printer 8.
  • the device 6c for issuing a warning signal to inform the operator of the balance over a disturbing hand in the detection area 4 of Camera 2 is shown schematically as part of the display 6a.
  • weighting and pricing algorithms 7 are provided which need not differ significantly from known weight determination and pricing software.
  • the algorithms have access to the database 10, as well as the Schmke ⁇ nu ⁇ gssystem 2b, 2c, which is part of the automatic detection device 2.
  • the image recognition system 2b, 2c on the one hand, has a conventional image recognition device with corresponding image recognition software 2b, which in this case has access to a memory, which is advantageously also formed by the database, in which a number of product images are stored. These product images can be used for comparison with images taken by the camera 2a in order to identify the objects 3 introduced into the detection area 4 of the camera 2a.
  • the special feature of the image recognition system 2b, 2c is the inventive detecting device 2c, which is able to detect the presence of a hand in the detection area 4 of the camera 2a, and which controls the image recognition device 2b.
  • the identification of the apples 3 succeed clearly and correctly, and a corresponding product image is displayed on the touch screen 6.
  • the customer must then either confirm the identification by pressing on the displayed product image, or the printer 8 will issue an adhesive label 8a without the confirmation on which the determined weight value and an identification feature for the apples 3 are indicated.
  • the sale price can already be calculated in the usual way on the weight determination and pricing software 7 after successful identification of the apples and possibly also with the base price, ie the price per unit weight, are printed on the adhesive label 8a.
  • the recognition process is so unproblematic. For example, if a customer operates the scale 1 that is not used to automatic recognition, but instead believes that product identification information to enter himself, he searches z. B. with circular finger movements in front of the touch screen 6 for a suitable input key. He is not aware that he disturbs the automatic recognition of the apples 3 by leaving his hand in the detection area 4 of the camera 2a.
  • Means 2c not an image recognition device, but a device which is able to compare temporally successive images of the camera 2a with each other and determine from the successive images, whether (still) a movement takes place in the detection area.
  • the successive images are checked by the detecting device 2c for image matching, wherein a tolerance threshold is preset. If image coincidence is detected within the tolerance threshold, it can be assumed that there is no more hand in the detection area 4, and the image recognition device 2b is caused to generate the identification information for identifying the object as usual.
  • the detecting means 2c ensures that via the touch screen 6 an optical warning for the customer appears, for example a well recognizable, e.g. flashing lettering "Please remove your hand from the scale.”
  • a well recognizable e.g. flashing lettering "Please remove your hand from the scale.”
  • the visual warning signal can be supplemented by an audible warning signal.
  • the corresponding device 6c for dispensing the warning signal to a small speaker (not shown) can be extended.
  • the detecting device 2c could also be designed so that the
  • the image recognition system 2b, 2c constructed so that z. B. the human hand as a possible target image in the image recognition routine is taken into account. If the detecting device 2c recognizes the hand e.g. two more
  • the detecting device 2c together with the image recognition device 2b provides an improved
  • Image recognition system 2b, 2c in that the identification information is generated even though the hand is recognized. Nevertheless, in order to reliably identify the apples 3, the image recognition system 2b, 2c filters the image patterns associated with the recognized hand from the image taken by the camera 2a and works with the filtered image for further image recognition. In this way, disturbing image patterns that might otherwise lead to misidentification (e.g., carrots instead of apples 3) are removed. In a further improved image recognition system 2b, 2c, several consecutive
  • the invention improves on conventional automatic detection devices 2 in that the image recognition device 2b is controlled by a device 2c detecting the presence of a hand in the detection region 4 of the camera 2.
  • the invention is not limited to the embodiment of the invention shown in the embodiment. Rather, the features of the invention disclosed in the above description and in the claims, both individually and in any combination for the realization of the invention in its various embodiments may be essential.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Cash Registers Or Receiving Machines (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

L'invention concerne un dispositif pour la reconnaissance automatique d'objets, comprenant un dispositif de prise de vues doté d'une zone de détection dans laquelle il est possible d'introduire manuellement au moins un des objets à reconnaître, et un dispositif de reconnaissance d'images permettant de générer, grâce à une image d'un objet introduit dans la zone de détection et générée par le dispositif de prise de vues, une information servant à l'identification de l'objet. Le dispositif de reconnaissance d'images est commandé par un dispositif détectant la présence d'une main dans la zone de détection. L'invention concerne également un dispositif de pesée comprenant un tel dispositif de reconnaissance automatique.
EP07786647A 2006-09-20 2007-08-09 Dispositif de reconnaissance automatique Withdrawn EP2070008A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102006044365A DE102006044365A1 (de) 2006-09-20 2006-09-20 Automatische Erkennungsvorrichtung
PCT/EP2007/007068 WO2008034494A1 (fr) 2006-09-20 2007-08-09 Dispositif de reconnaissance automatique

Publications (1)

Publication Number Publication Date
EP2070008A1 true EP2070008A1 (fr) 2009-06-17

Family

ID=38634445

Family Applications (1)

Application Number Title Priority Date Filing Date
EP07786647A Withdrawn EP2070008A1 (fr) 2006-09-20 2007-08-09 Dispositif de reconnaissance automatique

Country Status (4)

Country Link
US (1) US20100092035A1 (fr)
EP (1) EP2070008A1 (fr)
DE (1) DE102006044365A1 (fr)
WO (1) WO2008034494A1 (fr)

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CN108846971A (zh) * 2018-05-25 2018-11-20 合肥欧仕嘉机电设备有限公司 一种散装物品自动识别称重结算方法

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CN108846971A (zh) * 2018-05-25 2018-11-20 合肥欧仕嘉机电设备有限公司 一种散装物品自动识别称重结算方法

Also Published As

Publication number Publication date
WO2008034494A1 (fr) 2008-03-27
DE102006044365A1 (de) 2008-04-03
US20100092035A1 (en) 2010-04-15

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