EP2422324B1 - Terminal libre-service équipé d'un système de caméras permettant l'identification de tentatives de falsification - Google Patents

Terminal libre-service équipé d'un système de caméras permettant l'identification de tentatives de falsification Download PDF

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Publication number
EP2422324B1
EP2422324B1 EP10715523.6A EP10715523A EP2422324B1 EP 2422324 B1 EP2422324 B1 EP 2422324B1 EP 10715523 A EP10715523 A EP 10715523A EP 2422324 B1 EP2422324 B1 EP 2422324B1
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EP
European Patent Office
Prior art keywords
atm
service terminal
self service
cameras
camera
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EP10715523.6A
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German (de)
English (en)
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EP2422324A1 (fr
Inventor
Steffen Priesterjahn
Dinh-Khoi Le
Michael Nolte
Alexander Drichel
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Wincor Nixdorf International GmbH
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Wincor Nixdorf International GmbH
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    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F19/00—Complete banking systems; Coded card-freed arrangements adapted for dispensing or receiving monies or the like and posting such transactions to existing accounts, e.g. automatic teller machines
    • G07F19/20—Automatic teller machines [ATMs]
    • G07F19/207—Surveillance aspects at ATMs
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07F—COIN-FREED OR LIKE APPARATUS
    • G07F19/00—Complete banking systems; Coded card-freed arrangements adapted for dispensing or receiving monies or the like and posting such transactions to existing accounts, e.g. automatic teller machines
    • G07F19/20—Automatic teller machines [ATMs]

Definitions

  • the invention relates to a self-service terminal and a camera arrangement for detecting manipulation attempts according to the preamble of one of the independent claims.
  • the invention relates to a self-service terminal, which is designed as an ATM.
  • the spied data is then transmitted to a remote receiver via a transmitter built into the keyboard superstructure or stored in a data memory located in the keyboard overlay.
  • a transmitter built into the keyboard superstructure or stored in a data memory located in the keyboard overlay is very difficult be differentiated by the human eye from original controls (keyboard, card reader, etc.).
  • a self-service terminal with a camera arrangement which is equipped with several cameras for monitoring the self-service terminal.
  • the self-service terminal which is eg an ATM
  • several cameras are mounted in the vicinity of the control panel of the ATM. For example, one camera captures the card slot and another camera captures the keyboard. Another camera is aimed at the user of the ATM.
  • a self-service terminal which has a camera arrangement, wherein for detecting manipulation attempts on the self-service terminal at least two of the cameras are mounted on or in the self-service terminal in the vicinity of the control panel and each detect at least one of the elements.
  • a self-service terminal with a camera is described, which is mounted above the screen and detects at least part of the control panel.
  • the EP 1 965 361 A2 describes an ATM in which a camera mounted above the screen and detects the outdoor area in which the user is located during the operation of the ATM. One or more additional cameras are installed inside the ATM at the card entry funnel to visually detect inserted cards.
  • a self-service terminal with the features of claim 1. Accordingly, a self-service terminal is proposed which has a camera arrangement in which at least two cameras are mounted in a surrounding the control panel housing portion of the self-service terminal.
  • the close range of the control panel is detected, so that image data, which are acquired directly at the individual elements, are available for data processing.
  • some of the cameras can target eg be aligned with a particular control or even be integrated into a control.
  • the at least two cameras are connected to a data processing unit that processes the image data generated by the cameras taking into account discrepancies between the image data of the at least two cameras, the image data of the cameras being compared with each other to determine if any one of the cameras has been manipulated.
  • the elements detected by the cameras are, for example, manipulation-suitable elements, such as, for example, the keyboard, the cash dispenser or the card entry funnel, ie control elements in the narrower sense. They may also be elements arranged in manipulation-suitable areas of the control panel, such as e.g. a shelf or the like.
  • the at least two cameras are integrated in the self-service terminal and connected to a data processing unit which processes the image data generated by the cameras.
  • the data processing unit combines and evaluates the image data generated by the plurality of cameras in order to detect manipulations on one or more of the cameras. Also, by combining and evaluating the image data, manipulations in the detection range of one or more of the cameras can be detected.
  • the data processing unit can combine and evaluate the image data in order to detect deviations that relate to the image content, the image structure and / or the image quality, in particular the image illumination and / or brightness.
  • At least some of the cameras may be mounted in a housing section of the self-service terminal surrounding the control panel, in particular being installed in that housing section of the self-service terminal which delimits the control panel laterally or upwardly.
  • a single one of the cameras can also detect at least two of the elements provided in the control panel, in particular two control elements, such as e.g. a cashbox and a keyboard, capture.
  • another camera may be integrated in one of the elements provided in the control panel, in particular integrated in a card input hopper.
  • an additional camera for an area is provided on the self-service terminal at which a user, in particular his head, is located during the operation of the self-service terminal.
  • a portrait of the user can be included.
  • the data processing unit may be integrated in the self-service terminal.
  • the data processing unit preferably has a first stage for image processing, in particular for shadow removal, edge detection, vectorization and / or segmentation, which receives the image data.
  • the data processing unit may have a second stage downstream of the first stage for feature extraction, in particular by means of blob analysis, edge position and / or color distribution.
  • the data processing unit can still one the second stage downstream third stage for classification.
  • the data processing unit can also have interfaces for video surveillance systems or units (so-called CCTV) and / or security systems.
  • CCTV video surveillance systems or units
  • the data processing unit if it detects a manipulation attempt on one of the elements by means of the processing of the image data and / or detects a manipulation on one of the multiple cameras, triggers an alarm, blocks the self-service terminal and / or triggers the additional camera. It can also be provided that the cameras and / or the data processing unit are or is deactivated during the operation and / or maintenance of the self-service terminal.
  • the Fig. 1 shows in a perspective view of the basic structure of a self-service terminal in the form of an ATM ATM.
  • an ATM ATM To the control panel ATM ATM include in particular a cash dispenser 1, also called shutter, and a keyboard 2, ie controls on which preferably manipulation attempts, for example in the form of superstructures, may occur for the purpose of skimming.
  • the ATM ATM is equipped with a camera arrangement according to the invention for detecting such and similar manipulation attempts.
  • the camera arrangement comprises a plurality of cameras mounted at different locations, namely a lateral camera CAMS, a top view camera CAMD, a (in Fig. 4a shown) camera CAMK, which is integrated in the card slot, and an additional portrait camera CAMO.
  • At least two of the cameras CAMS and CAMD are in the vicinity of the control panel, ie within a boundary, frame or the like and are mounted there.
  • Each of these cameras here in Fig. 1 for example the camera CAMS or CAMD, detects in each case at least one of the elements arranged in the control panel of the ATM, eg the cash dispenser 1 (shutter) and / or the keyboard 2.
  • the lateral camera CAMS preferably detects exactly these two elements 1 and 2; the top view camera CAMD also detects other elements (see Fig. 3 ).
  • the camera CAMK integrated in the card input funnel 4 is also provided (see FIG. Fig. 4a ), which exclusively covers the area of the card dispenser. All these cameras are therefore located in the vicinity of the control panel and are equipped with single or multiple elements.
  • the additional camera CAMO is located in the upper housing part of the ATM ATM and is directed to the area in which the user is operating the ATM.
  • this camera captures CAMO the head or the face of the user and is therefore referred to here as a portrait camera.
  • the FIG. 2 shows the detection range of the camera CAMS, which is located in a side housing part, which framing the control panel of the ATM ATM or surrounds.
  • the camera CAMS is equipped with a wide-angle lens in order to detect at least these two elements or partial areas of the control panel.
  • the ATM ATM is designed so that said elements 1 and 2 preferably have the most homogeneous surfaces with these delimiting edges. This simplifies object recognition. By attaching the camera CAMS in this most suitable position, the mentioned Subareas or elements 1 and 2 are very reliably measured optical. It can be provided that the camera is focused in particular on certain areas.
  • FIG. 3 Another perspective, namely that of the top view camera CAMD, is based on the FIG. 3 clarified.
  • the detection field of this camera CAMD is illustrated, which is installed in the upper part of the ATM ATM (see also Fig. 1 ) and which captures the control panel from above.
  • the cash dispenser 1 and the keyboard 2 in the detection range of the camera also other elements may be provided, such as a shelf near the keyboard, a card input funnel 4, ie the feeding part for the card reader, and eg a screen 5 or display.
  • a shelf near the keyboard a card input funnel 4 ie the feeding part for the card reader, and eg a screen 5 or display.
  • These further mentioned elements 3, 4 and 5 represent potential targets for manipulation attempts.
  • the camera CAMK integrated therein is provided for the card input funnel 4 itself.
  • the installation situation is in the Fig. 4a shown.
  • the already used illumination of the card slot can be used.
  • the Fig. 4b illustrates the detection range of the camera CAMK, and clearly shows that it can be subdivided into essentially three subregions I, II and III.
  • FIG. 5 shows the block diagram of a data processing unit 10 according to the invention, to which the cameras CAMS, CAMD and CAMK are connected, and a Video surveillance or CCTV unit 20, which is connected to the data processing unit 10.
  • the data processing unit 10 has in particular the following stages or modules: A first stage 11 for image processing, a second stage 12 for feature extraction and a third stage 13 for the classification of the processed data. In turn, the stage 13 is connected to an interface 14, via which various alarm or monitoring devices can be activated or addressed. These, also referred to below as AISS, devices include, inter alia, a Schmtigschungs- or manipulation detection (IFD).
  • the first stage 11, which serves for image processing is also connected to a second interface 15 via which a connection to the CCTV unit 20 is established. With the help of this CCTV unit, for example, a remote monitoring or remote diagnosis can be performed.
  • the data processing unit 10 For processing the image data D generated by the cameras CAMS, CAMD and CAMK, the data processing unit 10 is initially responsible.
  • the image data D first reaches the first stage 11, which carries out a preprocessing of the incoming image data, in which case, in particular, measures such as shadow removal, edge detection, vectorization and / or segmentation are performed.
  • the downstream second stage 12 serves the feature extraction, which can be carried out for example by means of a so-called Blobanalysis, an edge positioning and / or a color distribution.
  • Blob analysis is used to detect contiguous regions in an image and to make measurements on the blobs.
  • a Blob (Binary Large Object) is an area of adjacent pixels the same logical state. All the pixels in a picture belonging to a blob are in the foreground. All other pixels are in the background. In a binary image, pixels in the background have values that correspond to zero, while every pixel other than zero is part of a binary object.
  • a classification is made which determines whether or not an enemy manipulation has occurred at the self-service terminal ATM on the basis of the extracted features.
  • the size and nature of the actions taken or countermeasures can be configured by the operator of the ATM via the system described here.
  • the cameras CAMS and CAMD can be provided directly on the control panel, with the cameras CAMS and CAMD detecting the control panel from the outside and the CAMK camera eg detecting the card input funnel from the inside.
  • an additional portrait camera can be installed (see CAMO in Fig. 1 ).
  • the cameras CAMS and CAMD are used on the control panel and the camera CAMK in the card input.
  • the portrait camera CAMO is also used.
  • all cameras have a resolution of at least 2 megapixels.
  • the lenses used have a viewing angle of about 140 degrees and more.
  • the exposure time of the cameras used in a wide range for example, 0.25 msec to 8,000 msec (8 s) is freely adjustable. This allows adaptation to a wide variety of lighting conditions. Applicant's experiments have shown that a camera resolution of about 10 pixels per degree can be achieved. Based on a distance of one meter, an accuracy of 1.5 mm per pixel can be achieved. This in turn means that manipulation can be reliably detected from a reference deviation of as little as 2 to 3 mm. The closer the camera lens is to the detected element or object, the more accurate the measurement can be. Thus, in closer areas even an accuracy of less than 1 mm can be achieved.
  • the detection of the cash dispenser (shutter) 1 allows the verification of manipulations in the form of so-called cash trappers, ie special superstructures.
  • the detection of the keypad makes it possible to determine there manipulation attempts by superstructures or changes to light protection measures and the like.
  • the detection of the support surface makes it possible in particular to detect complete overbuilding.
  • the detection of the card input funnel 4, in particular by a camera integrated therein, makes it possible to detect local manipulations.
  • Deviations at the rear outer edge of the support surface can already be detected from 4 mm become. Deviations at the lower edge of the shutter can already be detected from 8 mm.
  • the data processing unit 10 in particular a comparison of the recorded image data D with reference data.
  • an image of the outside area can be examined for its homogeneity and compared with the image of the outside area of the control panel camera.
  • the surroundings can also be examined for radiation of the illumination for the card input trellis 4.
  • the connection of the system to the Internet via the interface 23 makes it possible to remotely control the camera or the various cameras.
  • the acquired image data can also be transmitted via the Internet connection to a video server.
  • the respective camera virtually acts as a virtual IP camera.
  • the CCTV unit 20 described above is used for such a video surveillance facility, wherein the interface 15 to the CCTV unit is designed for the following functions: Query an image, adjust frame rate, color model, image resolution, trigger an event in the CCTV service when a new image is provided, and / or possibly visually highlight detected manipulations on a rendered image.
  • the system is designed so that no false alarms are generated by hands and / or objects in the image during normal operation (e.g., withdrawing money, checking balance, etc.). Therefore, the tamper detection is disabled during the period of normal machine use. Also, in time periods in which, for example, a cleaning or a short-term other use (storage of account statements, interactions before and after the start of a transaction) are not used for tamper detection. Essentially, therefore, only rigid and immovable manipulation attempts are preferably analyzed and recognized.
  • the system is designed to work in a wide variety of lighting conditions (day, night, rain, cloudy, etc.). Also, briefly changing lighting conditions, such as e.g.
  • the method for manipulation detection performed by the described system has in particular the following sequence (see also FIG Fig. 4 ): First, in a first step, an image acquisition (stage 11), wherein the camera parameters are adjusted to produce suitable recordings. In particular, a series of images or corresponding image data D is recorded, which then serves as the basis or reference for the preprocessing.
  • image data D stage 11
  • these being processed in such a way that they are as suitable as possible for further processing.
  • image enhancement algorithms for example, the following steps are carried out: Shadow removal, removal of moving objects, removal of noise and / or summary of various exposed shots.
  • the cameras are u.a. set to different exposure times to remove reflections and to collect well-lit areas.
  • the images are collected over a predetermined period of time to obtain the best possible output images for manipulation detection.
  • a feature extraction is performed (step 12) in which image analysis processes are performed on the preprocessed images to validate them for particular features, such as image analysis. on edge positions or color distributions. For each feature, a number or a value can be specified, which indicates how well the corresponding feature was found again in the viewed image. The values are summarized in a so-called feature vector.
  • a classification is carried out (step 13), ie the feature vector is passed to a classification procedure to make a decision as to whether there is a manipulation or not.
  • a classification procedure to make a decision as to whether there is a manipulation or not.
  • those types of classifiers are used which can indicate confidence, ie a probability or certainty, with which the decision applies.
  • Classification mechanisms used can be, for example: Learning Classify Systems, Bayes Classifiers, Support Vector Machines (SVM) or Decision Trees (CART or C 4.5).
  • the system described herein is preferably modular in design to allow for different configurations.
  • the actual image processing as well as the CCTV connection are realized in different modules (see FIG. 4 ).
  • the system presented here is also suitable for documenting the detected manipulations or digitally archiving them.
  • the recorded images are stored with corresponding meta-information, such as time stamp, type of manipulation, etc., on a hard disk in the system or in a connected PC.
  • messages can also be forwarded to a platform, such as error messages, status messages (deactivation, mode change), statistics, suspected manipulation and / or alarm messages.
  • a corresponding message with the respective alarm level can be forwarded to the administration interface or the interface.
  • the following options are also implemented at this interface: Query of camera data, such as number of cameras, construction status, serial number, etc., camera master data or Set camera parameters and / or register for alarms (notifications).
  • the invention presented here is particularly suitable for carrying out hostile manipulations on a self-service terminal, such as e.g. at an ATM, reliable to recognize.
  • the control panel is continuously and automatically monitored by at least one camera.
  • the elements detected by the camera are optically measured in order to detect deviations from reference data. It has been shown that even deviations in the millimeter range can be reliably detected.
  • a combination of edge detection and segmentation is preferably used, so that contours of left objects can be clearly recognized and marked. In the case of a manipulation attempt countermeasures or actions can be triggered.
  • the invention significantly increases the reliability with which manipulations can be detected.
  • the invention has the following camera arrangement: A camera on the card slot, a camera on the control panel, and a camera on the top of the ATM for taking portraits or videos.
  • the cameras are connected to the described data processing unit.
  • Within the data processing unit are those of the cameras obtained image data or information among other things used as follows: Recognition or distinction of artificial and natural obscuration: If a camera is covered, its captured image contradicts the images from the cameras. If natural or artificial light fails, this effect is equally noticeable on all cameras. Detection of deceptive attacks on the camera system, eg through pre-clicked photos: If a camera displays a different image (different brightness, movement, colors, etc.), this indicates an attempt to deceive. Increasing the robustness of the cover detection on the card input hopper: If the card slot is hidden, the integrated camera CAMK displays a different image of the outside area than the other cameras do.
  • a self-service terminal with a camera arrangement which has a plurality of cameras, which are mounted in the vicinity of the control panel of the self-service terminal and detect there provided elements such as keyboard, cash dispenser, card slot to detect tampering attempts on the self-service terminal.
  • one of the cameras is integrated in the card insertion hopper.
  • the cameras are connected to a data processing unit which processes the image data generated by the cameras.
  • the image data is also combined and evaluated to allow manipulation of one or more of the cameras recognize. In particular, for this purpose, deviations are evaluated which relate to the image content, the image structure and / or the image quality, in particular the image illumination and / or brightness.
  • the present invention has been described using the example of an ATM, but is not limited thereto, but can be applied to any type of self-service terminals.

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Claims (16)

  1. Terminal libre-service (ATM) qui comporte des éléments (1, 2, 3, 4, 5) prévus dans un panneau de commande du terminal libre-service (ATM) et qui sont prévus pour des utilisateurs du terminal libre-service (ATM), dans lequel il est prévu un système de caméra comportant une pluralité de caméras pour surveiller le terminal libre-service (ATM), et dans lequel au moins deux (CAMS, CAMD, CAMK) des caméras sont montées sur ou dans le terminal libre-service (ATM) à proximité du panneau de commande (CP) et détectent chacune au moins l'un des éléments (1, 2, 3, 4, 5) pour l'identification de tentatives de manipulation sur le terminal libre-service (ATM),
    caractérisé en ce que lesdites au moins deux caméras (CAMS, CAMD) sont montées dans une partie de boîtier du terminal libre-service (ATM) entourant le panneau de commande (CP), et en ce que lesdites au moins deux caméras (CAMS, CAMD, CAMK) sont reliées à une unité de traitement de données (10) qui traite les données d'image (D) générées par les caméras en tenant compte de différences entre les données d'image desdites au moins deux caméras, dans lequel les données d'image des caméras sont comparées entre elles pour déterminer si une manipulation a été effectuée sur certaines des caméras.
  2. Terminal libre-service (ATM) selon la revendication 1, caractérisé en ce que les éléments détectés par les caméras représentent des éléments (1, 2, 4) propres à être manipulés et/ou des éléments (3, 5) disposés dans des zones propres à être manipulées du panneau de commande (CP).
  3. Terminal libre-service (ATM) selon l'une des revendications précédentes, caractérisé en ce que les éléments prévus dans le panneau de commande comprennent un compartiment de distribution de billets (1), un clavier (2), une surface de réception (3), une trémie d'insertion de cartes (4) et/ou un écran (5).
  4. Terminal libre-service (ATM) selon l'une des revendications précédentes, caractérisé en ce que lesdites au moins deux caméras (CAMS, CAMD) sont installées dans la partie de boîtier du terminal libre-service (ATM) qui délimite le panneau de commande (CP) sur le côté ou vers le haut.
  5. Terminal libre-service (ATM) selon l'une des revendications précédentes, caractérisé en ce que chacune des caméras (CAMS, CAMD, CAMK) est respectivement orientée vers au moins l'un des éléments (1, 2, 4) prévus dans le panneau de commande (CP).
  6. Terminal libre-service (ATM) selon l'une des revendications précédentes, caractérisé en ce qu'au moins l'une des caméras (CAMS) est ainsi orientée, et en ce que ladite caméra (CAMS) détecte au moins deux des éléments (1, 2) prévus dans le panneau de commande (CP), en particulier des éléments de commande qui comprennent un compartiment de distribution de billets (1) et un clavier (2) .
  7. Terminal libre-service (ATM) selon l'une des revendications précédentes, caractérisé en ce qu'au moins l'une (CAMK) des caméras est intégrée à l'un des éléments (4) prévus dans le panneau de commande (CP), en particulier dans une trémie d'insertion de cartes (4).
  8. Terminal libre-service (ATM) selon l'une des revendications 1 à 7, caractérisé en ce que l'unité de traitement de données (10) est intégrée au terminal libre-service (ATM).
  9. Terminal libre-service (ATM) selon la revendication 1 ou 8, caractérisé en ce que l'unité de traitement de données (10) comporte un premier étage (11) recevant les données d'image (D) pour traiter une image, notamment pour l'élimination d'ombres, la détection des bords, la vectorisation et/ou la segmentation.
  10. Terminal libre-service (ATM) selon la revendication 9, caractérisé en ce que l'unité de traitement de données (10) comporte un deuxième étage (12) relié en aval du premier étage (11) pour l'extraction d'éléments caractéristiques, en particulier au moyen d'une analyse de taches, de la position des bords et de la distribution des couleurs.
  11. Terminal libre-service (ATM) selon la revendication 10, caractérisé en ce que l'unité de traitement de données (10) comporte un troisième étage (13) destiné à la classification, qui est relié en aval du deuxième étage (12).
  12. Terminal libre-service (ATM) selon l'une des revendications 8 à 11, caractérisé en ce que l'unité de traitement de données (10) comporte des interfaces (14, 15) destinés à des systèmes de vidéosurveillance (20) et/ou à des systèmes de sécurité.
  13. Terminal libre-service (ATM) selon l'une des revendications précédentes, caractérisé en ce qu'au moins les éléments (1, 2) détectés par la caméra respective (CAMS) présentent des caractéristiques reconnaissables optiquement de manière unique, en particulier des bords se distinguant de surfaces homogènes.
  14. Terminal libre-service (ATM) selon l'une des revendications précédentes, caractérisé en ce qu'il est prévu sur le terminal libre-service (ATM) une caméra supplémentaire (CAMO) destinée à une zone dans laquelle se trouve un utilisateur, en particulier sa tête, pendant l'utilisation du terminal libre-service (ATM).
  15. Terminal libre-service (ATM) selon l'une des revendications 1 à 14, caractérisé en ce que l'unité de traitement de données (10), lorsqu'elle détecte au moyen du traitement des données d'image (D) une tentative de manipulation effectuée sur les éléments (1, 2) détectés, déclenche une alarme, bloque le terminal libre-service (ATM) et/ou déclenche la caméra supplémentaire (CAMO).
  16. Terminal libre-service (ATM) selon l'une des revendications 1 à 15, caractérisé en ce que la caméra respective (CAMS) et/ou l'unité de traitement de données (10) est désactivée pendant l'utilisation et/ou la maintenance du terminal libre-service (ATM).
EP10715523.6A 2009-04-22 2010-04-16 Terminal libre-service équipé d'un système de caméras permettant l'identification de tentatives de falsification Active EP2422324B1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE200910018321 DE102009018321A1 (de) 2009-04-22 2009-04-22 Selbstbedienungsterminal mit Kamera-Anordnung zum Erkennen von Manipulationsversuchen
PCT/EP2010/055011 WO2010121954A1 (fr) 2009-04-22 2010-04-16 Terminal libre-service équipé d'un système de caméras permettant l'identification de tentatives de falsification

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EP2422324A1 EP2422324A1 (fr) 2012-02-29
EP2422324B1 true EP2422324B1 (fr) 2019-02-27

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WO (1) WO2010121954A1 (fr)

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CN112542007A (zh) * 2020-11-30 2021-03-23 福州外语外贸学院 一种金融取款间危险目标检测方法及系统

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EP2422324A1 (fr) 2012-02-29
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