Patent Grant
11436898
This disclosure relates to an improved fraud detection system and method for use with self-service terminal equipment, such as automatic teller machines and gas pumps, that reads information from an encoded magnetic stripe or chip card.
Unauthorized reading of card data, such as data encoded on a magnetic stripe of a customer' debit or credit card, while the card is being used (“card skimming”), is a known type of fraud. Card skimming is most often done when a scammer adds a skimmer, i.e., an assembly including a separate magnetic read head, to the front fascia of a self-service terminal (e.g., an automated teller machine (ATM) or gas pump) which reads the magnetic stripe on the customer's card as the card is inserted or removed from the ATM or gas pump. Another type of fraud committed in conjunction with a data terminal having a card reader device is called “card trapping.” In this type of fraud, a trapping device is inserted into the card slot in the card reader and when a user inserts their card into the slot, it becomes trapped and the user is not able to remove the card. Skimmers and trapping devices may be detected by optical sensors in an anti-skimming device mounted in, on, or adjacent to a card reader. However, external infrared light sources, such as sunlight, can often trigger false alarm conditions. An excessive number of false alarm conditions can be costly, as a technician visit is typically required to the location each time an alarm condition is generated.
Accordingly, there is a need for a fraud detection system and method which detects skimmers and trapping device without causing excessive false alarm conditions.
The following detailed description, given by way of example and not intended to limit the present disclosure solely thereto, will best be understood in conjunction with the accompanying drawings in which:
In the present disclosure, like reference numbers refer to like elements throughout the drawings, which illustrate various exemplary embodiments of the present disclosure.
The hybrid fraud detection system and method described in the figures and accompanying description below provide a resilient solution which is totally adaptive to the particular environment where it will be installed, effectively self-adjusting based on changing ambient conditions. Referring now to
Referring now to
Each optical proximity sensor 150, 160 includes an integral optical proximity sensor formed from an infrared (IR) emitter/receiver pair (i.e., IR emitter 156 and IR sensor 154, and IR emitter 166 and IR sensor 164) which preferably operate at 850 nm wavelength and an ambient light sensor 152, 162. The IR emitter/receiver pairs are used to determine a target proximity while the ambient light sensors 152, 162 each provide a signal corresponding to the ambient luminosity light level (i.e., a LUX signal) in an area directly adjacent to the associated optical proximity sensor 150, 160. The IR sensors 154, 164 also provide a signal corresponding to ambient IR noise (i.e., an ambient IR signal) in the area adjacent to the associated optical proximity sensor 150, 160. A device suitable for use for each optical proximity sensor 150, 160 is a proximity and ambient light sensing module, part no. VL6180X, from STMicroelectronics. The VL6180X device internally determines a range value by precisely measuring the time the light takes to travel to the nearest object and reflect back to the sensor (i.e., operates as a Time-of-Flight type optical proximity sensor) and also provides an output signal which corresponds to the measured light at the IR sensors 154, 164 during a measurement. This signal, an IR measurement signal, includes a component which is proportional to the amount of reflected IR light and a component corresponding to the ambient IR light (the ambient IR component) so that the actual measurement signal will be the IR measurement signal component less the ambient IR signal component. Other types of optical proximity sensors, e.g., sensors which estimate distance by measuring an amount of light reflected back from an object, may also be used. One of ordinary skill in the art will readily recognize that the amount of reflected IR light is inversely proportional to the distance to an object that reflects such light.
The forward-facing sensor, i.e., optical proximity sensor 150, is positioned to provide a signal used to detect when an object, such as a skimmer, has been placed over the front part of the bezel 110. The side-facing sensor, i.e., optical proximity sensor 160, is positioned to provide a signal used to detect when an object, such as a skimmer, has been placed inside the card area of bezel 110 where a customer inserts a magnetic stripe card. Each of the signals from the two optical proximity sensors 150, 160 provides an indication of the distance to an object (if any) located adjacent the associated sensor. A predetermined threshold distance for each optical proximity sensor 150, 160 will be established upon installation of the hybrid fraud detection system 100 (i.e., a distance from the associated sensor). Then, during operation, when the signal from the respective optical proximity sensor 150, 160 indicates that a detected object is closer than that predetermined threshold, it will be indicative that an object such as a skimmer has been positioned over the bezel 110 and an alarm signal can be generated. When the signal from the respective optical proximity sensor 150, 160 used for comparison to the predetermined threshold is the IR measurement signal, an alarm will be set when the IR measurement signal is greater than the predetermined threshold (indicating that a detected object is closer than that predetermined threshold). In some cases, a second predetermined threshold may be used to detect when an object has been placed directly over the output of optical proximity sensor 150, 160 (e.g., tape that absorbs light). In this case, the IR measurement signal can become negative because the measurement portion of the IR measurement signal will be less than the ambient IR signal. Thus, a second predetermined threshold with a negative value can be used to identify when a light-absorbing object has been placed directly over the optical proximity sensor 150, 160.
The capacitive proximity sensor 240 is a contactless sensor that includes, inter alia, a capacitive electrode 140. The capacitive proximity sensor 240 produces a signal that can be used to determine when an object moves closer than a predetermined distance of the capacitive electrode 140 based on a change in a total capacitance between the capacitive electrode and ground. A predetermined threshold distance for the capacitive proximity sensor 240 will be established upon installation of the hybrid fraud detection system 100 (i.e., a distance from that sensor) and when the signal from the capacitive proximity sensor 240 indicates that a detected object is closer than that predetermined threshold, it will be indicative that an object such as a skimmer has been positioned over the bezel 110 and an alarm signal can be generated. In the preferred embodiment, the capacitance of the capacitive proximity sensor 240 will increase as an object moves closer to the capacitive electrode 140, and thus the signal from the capacitive proximity sensor 240 will be inversely proportional to the distance between the capacitive electrode 140 and a detected object. This means that an alarm will be generated when the signal from the capacitive proximity sensor 240 exceeds the predetermined threshold.
In one alternative embodiment, the optical proximity sensor 160 may be omitted and only the optical proximity sensor 150 that is forward-facing and the capacitive proximity sensor 240 may be included. In another alternative embodiment, the system includes only the optical proximity sensor 150.
One problem faced in detecting objects placed over bezel 110 is the occurrence of false-positive signals. The inventors have found that one source of false positive signals when using optical and capacitive proximity sensors is the ambient condition at the bezel, including the amount of visible and infrared light. Excessive infrared light can affect the measurements generated by the optical proximity sensors 150, 160 and excessive visible light can affect the measurements generated by the capacitive proximity sensor 240 (e.g., direct sunlight can cause temperature changes on the capacitive electrode 140). The hybrid fraud detection system 100 compensates for these effects in order to significantly reduce the number of false positives signals.
In particular, as shown in the flowchart 300 of
In addition, as shown in the flowchart 400 of
The hybrid fraud detection system 100 continually loops and tests the two optical proximity sensors 150, 160 per the method shown in flowchart 300 and the capacitive proximity sensor 240 per the method shown in flowchart 400. By dynamically adjusting the alarm threshold associated with each sensor based on actual current environmental conditions, the hybrid fraud detection system 100 disclosed herein is able to provide significantly less false positive signals, thereby reducing maintenance costs (technician visits) for the associated ATM (or other type of self-service terminal). In particular, the hybrid fraud detection system 100 requires only one initial calibration to set a baseline threshold for each sensor and thereafter each threshold becomes dynamic, adjusted based on the changing ambient conditions in order to greatly reduce the incidence of false alarm signals. By greatly reducing or even eliminating the incidence of false alarm signals, the hybrid fraud detection system 100 of the present disclosure provides significant costs-savings both by reducing maintenance costs and by identifying and preventing actual fraud.
Although the present disclosure has been particularly shown and described with reference to the preferred embodiments and various aspects thereof, it will be appreciated by those of ordinary skill in the art that various changes and modifications may be made without departing from the spirit and scope of the disclosure. It is intended that the appended claims be interpreted as including the embodiments described herein, the alternatives mentioned above, and all equivalents thereto.
| Number | Name | Date | Kind |
|---|---|---|---|
| 6390367 | Doig | May 2002 | B1 |
| 8348162 | Xiao | Jan 2013 | B2 |
| 8523072 | Randolph | Sep 2013 | B2 |
| 20070040023 | Ruggirello | Feb 2007 | A1 |
| 20140158768 | Ray | Jun 2014 | A1 |
| Entry |
|---|
| VL6180X data sheet, Proximity and ambient light sensing (ALS) module, Mar. 2016, STMicroelectronics. |
